Relevant bibliographies by topics / Online social networks – Research

Academic literature on the topic 'Online social networks – Research'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Online social networks – Research"

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Willinger, Walter, Reza Rejaie, Mojtaba Torkjazi, Masoud Valafar, and Mauro Maggioni. "Research on online social networks." ACM SIGMETRICS Performance Evaluation Review 37, no. 3 (January 21, 2010): 49–54. http://dx.doi.org/10.1145/1710115.1710125.

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Walczak, Steven. "Artificial Neural Network Research in Online Social Networks." International Journal of Virtual Communities and Social Networking 10, no. 4 (October 2018): 1–15. http://dx.doi.org/10.4018/ijvcsn.2018100101.

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Artificial neural networks are a machine learning method ideal for solving classification and prediction problems using Big Data. Online social networks and virtual communities provide a plethora of data. Artificial neural networks have been used to determine the emotional meaning of virtual community posts, determine age and sex of users, classify types of messages, and make recommendations for additional content. This article reviews and examines the utilization of artificial neural networks in online social network and virtual community research. An artificial neural network to predict the maintenance of online social network “friends” is developed to demonstrate the applicability of artificial neural networks for virtual community research.
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Melton, James, Robert Miller, and Michelle Salmona. "Online Social Networks." International Journal of Information Systems and Social Change 3, no. 2 (April 2012): 24–38. http://dx.doi.org/10.4018/ijissc.2012040102.

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Previous research has shown that many college students in the United States post content to social networking sites that they know would be considered inappropriate by employers and other authority figures. However, the phenomenon has not been extensively studied in cross-cultural context. To address this knowledge gap, a survey of college students in Australia, Denmark, the United Kingdom, and the United States was conducted. The study found a universal tendency among the four groups: students knew the content they were posting would be considered inappropriate by employers and other authority figures, but they chose to post it anyway. The article also reports on differences in the way this tendency was manifested and on related aspects of social networking across cultures, including decisions about privacy and information disclosure.
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Agadullina, E. R. "Social networks user: current research." Современная зарубежная психология 4, no. 3 (2015): 36–46. http://dx.doi.org/10.17759/jmfp.2015040305.

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The purpose of this article is to review current research studies focusing on the users of Facebook and their behaviors in social networks. This review is organized into two sections: 1) social-demographic characteristics (Age, Gender, Nationality); 2) personality characteristics (Neuroticism, Extraversion, Openness-to-Experience, Agreeableness, Conscientiousness, Narcissism, Self-esteem). The results showed that the information in the personal profile and online behavior are strongly connected with socio-demographic and personality characteristics
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Xiong, Junli, and Huayi Huang. "Research on Information Leakage Tracking Algorithms in Online Social Networks." Computational Intelligence and Neuroscience 2022 (October 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/5634385.

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An online social network is a platform where people can communicate with friends, share information, speed up business development, and improve teamwork. A large amount of user privacy information existing in real social networks is leaked from person to person, and this issue has hardly been studied. With the rapid expansion of the network, the issue of privacy protection has received increasing attention. So far, many privacy protection methods including differential protection algorithms, encryption algorithms, access control strategies, and anonymization have been researched and applied. Information leakage means that the information shared by the user is disseminated or downloaded by his friends without the user’s consent, and the transmission of private information will not be recorded. In order to track and find out the ways and methods of information leakage, this article adopts an unusual method, namely, the probability judgment based on trust. By screening the similarities between users, past information exchanges, and the topology of social networks, a trust model is established to evaluate and estimate the degree of trust between users. According to the rating information privacy of friends’ trust, an information dissemination system is established, which can be applied to online social networking platforms to reduce the risk of information leakage, thereby ensuring the security of users’ private information. At the same time, this paper expands the transmission system model without user authorization and proposes a fingerprint-based deterministic leak tracking algorithm.
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Tauginienė, Loreta, and Rima Kalinauskaitė. "Participation of doctoral students in online social networks." Studies in Graduate and Postdoctoral Education 9, no. 2 (November 16, 2018): 144–64. http://dx.doi.org/10.1108/sgpe-d-18-00002.

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Purpose This paper aims to examine the use of online social networks by doctoral students. Design/methodology/approach A quantitative online survey was conducted – 448 doctoral students from 15 universities and 11 research institutes in Lithuania were asked about their participation in both academic and non-academic online social networks. Findings The results show that despite efforts to link academics to society, doctoral students are not supported by universities/research institutes nor are doctoral students trained for this purpose, including regarding such threats as offensive posts. Additionally, more comprehensive information is disclosed in academic social networks, but these networks are less common and less frequently used. Research limitations/implications International doctoral students in Lithuania cover about 4.4 per cent of the total population of doctoral students. They were not invited to participate in the survey. Furthermore, doctoral students consider any online social network as their professional (academic) network, as was found from our results. This resulted in the confusion of our definition of academic online social networks. Practical implications Learning about the diverse online roles doctoral students may take could be facilitated were doctoral students to receive clear and consistent awareness-raising and develop self-awareness in the importance of the roles, the most central online social networks and potential threats, and related institutional support to address them. Originality/value This study provides results on how engagement of doctoral students in online social networks might affect their links with society and what academic institutions should promote in doctoral education.
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Yudina, E. N., and I. V. Alekseenko. "Characteristics of Solidarity on Social Networks." Communicology 8, no. 1 (March 31, 2020): 114–27. http://dx.doi.org/10.21453/2311-3065-2020-8-1-114-127.

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The social networking influences all areas of society and stimulates the activity of the social networks communities. Later the importance of social networks revised the researches of the sociological aspects of social solidarity. Solidarity of modern society intensifies according to a sharp increase of possibilities to communicate with the help of the social networks that has become tools of forming the online communities. The authors suggest a new term for characteristics of a new solidarity at network communities – online solidarity. This term shows the connotation with the Internet; it also shows that online solidarity arises on micro level of the interpersonal relations. In the article authors analyze the term and characteristics of online solidarity in network communities and represent the results of the original research (questionnaire, 2019) “Students on Social Networks”. The authors come to conclusion that users with lots of “friends” at social networks feel more successful and socially demanded. Despite of its flexibility and lightness online-solidarity plays an important role in the society and has an influence on the macro level of society.
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Crowne, Kerri Anne, Richard J. Goeke, and Mary Shoemaker. "Enhancing international assignees’ performance with online social networks." Journal of Global Mobility 3, no. 4 (December 14, 2015): 397–417. http://dx.doi.org/10.1108/jgm-09-2014-0045.

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Purpose – Adjustment to the new locale is one of the primary factors that influence performance on an international assignment. The purpose of this paper is to propose a model that depicts how online social networks may contribute to international assignees’ adjustment via their influence on well-being and knowledge transfer. Design/methodology/approach – The present research uses network theory and readily available technology to develop a model of how online supportive social networks and informational social networks may increase the international assignee’s well-being and knowledge transfer (with prior/next assignees and with the organization). These increases will subsequently have a positive impact on the assignee’s adjustment and ultimately his/her job performance. Findings – Since this paper is conceptual rather than empirical, there are no findings; however, it is argued that online social networks may have a positive impact on an expatriate’s well-being, knowledge transfer, adjustment, and job performance. Research limitations/implications – This paper is a conceptual piece, so data will need to be collected to test the model developed here. Furthermore, other factors may influence international assignee adjustment, such as spouse and/or family adjustment. Practical implications – Suggestions are provided regarding how organizations can utilize in-house or external online social networks to assist international assignees. Originality/value – Despite the ubiquity of online social networks, there is a paucity of research examining the potential impact of online social networks on international assignees.
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Gafarov, Fail, Andrey Berdnikov, and Pavel Ustin. "Online social network user performance prediction by graph neural networks." International Journal of Advances in Intelligent Informatics 8, no. 3 (November 30, 2022): 285. http://dx.doi.org/10.26555/ijain.v8i3.859.

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Online social networks provide rich information that characterizes the user’s personality, his interests, hobbies, and reflects his current state. Users of social networks publish photos, posts, videos, audio, etc. every day. Online social networks (OSN) open up a wide range of research opportunities for scientists. Much research conducted in recent years using graph neural networks (GNN) has shown their advantages over conventional deep learning. In particular, the use of graph neural networks for online social network analysis seems to be the most suitable. In this article we studied the use of graph convolutional neural networks with different convolution layers (GCNConv, SAGEConv, GraphConv, GATConv, TransformerConv, GINConv) for predicting the user’s professional success in VKontakte online social network, based on data obtained from his profiles. We have used various parameters obtained from users’ personal pages in VKontakte social network (the number of friends, subscribers, interesting pages, etc.) as their features for determining the professional success, as well as networks (graphs) reflecting connections between users (followers/ friends). In this work we performed graph classification by using graph convolutional neural networks (with different types of convolution layers). The best accuracy of the graph convolutional neural network (0.88) was achieved by using the graph isomorphism network (GIN) layer. The results, obtained in this work, will serve for further studies of social success, based on metrics of personal profiles of OSN users and social graphs using neural network methods.
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Bollen, Johan, Bruno Gonçalves, Guangchen Ruan, and Huina Mao. "Happiness Is Assortative in Online Social Networks." Artificial Life 17, no. 3 (July 2011): 237–51. http://dx.doi.org/10.1162/artl_a_00034.

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Online social networking communities may exhibit highly complex and adaptive collective behaviors. Since emotions play such an important role in human decision making, how online networks modulate human collective mood states has become a matter of considerable interest. In spite of the increasing societal importance of online social networks, it is unknown whether assortative mixing of psychological states takes place in situations where social ties are mediated solely by online networking services in the absence of physical contact. Here, we show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Our results imply that online social networks may be equally subject to the social mechanisms that cause assortative mixing in real social networks and that such assortative mixing takes place at the level of SWB. Given the increasing prevalence of online social networks, their propensity to connect users with similar levels of SWB may be an important factor in how positive and negative sentiments are maintained and spread through human society. Future research may focus on how event-specific mood states can propagate and influence user behavior in “real life.”
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Dissertations / Theses on the topic "Online social networks – Research"

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Marks, Christopher E. (Christopher Edward). "Analytic search methods in online social networks." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112012.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 175-185).
This thesis presents and evaluates methods for searching and analyzing social media data in order to improve situational awareness. We begin by proposing a method for network vertex search that looks for the target vertex by sequentially examining the neighbors of a set of "known" vertices. Using a dynamic programming approach, we show that there is always an optimal "block" search policy, in which all of the neighbors of a known vertex are examined before moving on to another vertex. We provide a precise characterization of the optimal policy in two specific cases: (1) when the connections between the known vertices and the target vertex are independent, and (2) when the target vertex is connected to at most one known vertex. We then apply this result to the problem of finding new accounts belonging to Twitter users whose previous accounts had been suspended for extremist activity, quantifying the performance of our optimal search policy in this application against other policies. In this application we use thousands of Twitter accounts related to the Islamic State in Iraq and Syria (ISIS) to develop a behavioral models for these extremist users. These models are used to identify new extremist accounts, identify pairs of accounts belonging to the same user, and predict to whom a user will connect when opening an account. We use this final model to inform our network search application. Finally, we develop a more general application of network search and classification that obtains a set of social media users from a specified location or group. We propose an expand -- classify methodology which recursively collects users that have social network connections to users inside the target location, and then classifies all of the users by maximizing the probability over a factor graph model. This factor graph model accounts for the implications of both observed user profile features and social network connections in inferring location. Using geo-located data to evaluate our method, we find that our classification method typically outperforms Twitter's native search methods in building a dataset of Twitter users in a specific location.
by Christopher E. Marks.
Ph. D.
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Mayande, Nitin Venkat. "Network Structure, Network Flows and the Phenomenon of Influence in Online Social Networks: An Exploratory Empirical Study of Twitter Conversations about YouTube Product Categories." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2465.

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Traditional marketing models are swiftly being upended by the advent of online social networks. Yet, practicing firms that are engaging with online social networks neither have a reliable theory nor sufficient practical experience to make sense of the phenomenon. Extant theory in particular is based on observations of the real world, and may thus not apply to online social networks. Practicing firms may consequently be misallocating a large amount of resources, simply because they do not know how the online social networks with which they interact are organized. The purpose of this dissertation is to investigate how online social networks that are in stark contrast to real-world social networks behave and how they get organized. In particular, I explore how network structure and information flow within the network impact each other, and how they affect the phenomenon of influence in online social networks. I have collected retrospective data from Twitter conversations about six YouTube product categories (Music, Entertainment, Comedy, Science, Howto and Sports) in continuous time for a period of three months. Measures of network structure (Scale Free Metric, Assortativity and Small World Metric), network flows (Total Paths, Total Shortest Paths, Graph Diameter, Average Path Length, and Average Geodesic Length) and influence (Eigenvector Centrality/Centralization) were computed from the data. Experimental measures such as power law distributions of paths, shortest paths and nodal eigenvector centrality were introduced to account for node-level structure. Factor analysis and regression analysis were used to analyze the data and generate results. The research conducted in this dissertation has yielded three significant findings. 1. Network structure impacts network information flow, and conversely; network flow and network structure impact the network phenomenon of influence. However, the impact of network structure and network flow on influence could not be identified in all instances, suggesting that it cannot be taken for granted. 2. The nature of influence within a social network cannot be understood just by analyzing undirected or directed networks. The behavioral traits of individuals within the network can be deduced by analyzing how information is propagated throughout the network and how it is consumed. 3. An increase or decrease in the scale of a network leads to the observation of different organizational processes, which are most likely driven by very different social phenomena. Social theories that were developed from observing real-world networks of a relatively small scale (hundreds or thousands of people) consequently do not necessarily apply to online social networks, which can exhibit significantly larger scale (tens of thousands or millions of people). The primary contribution of this dissertation is an enhanced understanding of how online social networks, which exhibit contrasting characteristics to social networks that have been observed in the real world, behave and how they get organized. The empirical findings of this dissertation may allow practicing managers that engage with online social networks to allocate resources more effectively, especially in marketing. The primary limitations of this research are the inability to identify the causes of change within networks, glean demographic information and generalize across contexts. These limitations can all be overcome by follow-on studies of networks that operate in different contexts. In particular, further study of a variety of online social networks that operate on different social networking platforms would determine the extent to which the findings of this dissertation are generalizable to other online social networks. Conclusions drawn from an aggregation of these studies could serve as the foundation of a more broadly-based theory of online social networks.
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Wu, Yunyu, and 伍蕴瑜. "Gratifications and media use on social networking sites: a case study of Douban.com." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224271.

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Ray, Aaron Parker. "Planning Connected: Using Online Social Networks to Improve Knowledge about Places and Communities." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/580.

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The advent of Social Networking Systems (SNS) has introduced new possibilities for planners to refine and extend conventional engagement and data-gathering techniques by leveraging user-contributed, spatially-referenced content freely available online. This study examines the use of SNS content as community input, complementing input gathered through traditional participatory processes such as workshops, public comment hearings, and charrettes. Four case studies of recent community planning projects in the United States are analyzed, comparing the data gathered from traditional participatory processes with available SNS content related to each project study area, to determine to what extent the inclusion of SNS data would improve the overall data- gathering efforts of these projects. Three significant findings emerge from this analysis: (i) that SNS data analysis can positively complement data gathered from traditional participatory processes, (ii) that although SNS data analysis can provide useful data to planners, it is not a direct replacement for conventional engagement techniques, and (iii) that SNS data analysis is most effective for projects in neighborhoods with a well- defined identity. The study also examines the characteristics of effective SNS data analysis integration and discusses broader implications for planning practitioners and additional research needed.
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Hutton, Luke. "Applying contextual integrity to the study of social network sites." Thesis, University of St Andrews, 2015. http://hdl.handle.net/10023/7795.

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Social network sites (SNSs) have become very popular, with more than 1.39 billion people using Facebook alone. The ability to share large amounts of personal information with these services, such as location traces, photos, and messages, has raised a number of privacy concerns. The popularity of these services has enabled new research directions, allowing researchers to collect large amounts of data from SNSs to gain insight into how people share information, and to identify and resolve issues with such services. There are challenges to conducting such research responsibly, ensuring studies are ethical and protect the privacy of participants, while ensuring research outputs are sustainable and can be reproduced in the future. These challenges motivate the application of a theoretical framework that can be used to understand, identify, and mitigate the privacy impacts of emerging SNSs, and the conduct of ethical SNS studies. In this thesis, we apply Nissenbaum's model of contextual integrity to the study of SNSs. We develop an architecture for conducting privacy-preserving and reproducible SNS studies that upholds the contextual integrity of participants. We apply the architecture to the study of informed consent to show that contextual integrity can be leveraged to improve the acquisition of consent in such studies. We then use contextual integrity to diagnose potential privacy violations in an emerging form of SNS.
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Kidney, Colleen Anne. "Involvement in the Online Autistic Community, Identity, Community, and Well-Being." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/627.

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The values of the disability rights movement and community psychology promote research that focuses on improving the lives of individuals with disabilities (Dowrick & Keys, 2001). Using the Internet for social interactions has been shown to contribute to an individual's identity development, sense of community, and well-being (Obst, Zinkiewicz, & Smith, 2002a; Turkle, 1995). While challenges in typical social interactions have traditionally been considered a defining feature of autism spectrum disorder, autistic individuals have taken advantage of the Internet to develop social interactions (Blume, 1997a). The present study focused on the online Autistic community and how the importance and value of involvement in it is related to Autistic identity, sense of community, and psychological well-being. The Academic Autistic Spectrum Partnership in Research and Education (AASPIRE) partnered with the Gernsbacher Lab to form the Gateway Project. Using the Gateway Project, AASPIRE conducted the Internet Use, Community, and Well-Being Study and collected data from 72 autistic adults online. It was hypothesized that the importance and value of involvement in the online Autistic community would be positively related to Autistic identity and sense of community, Autistic identity and sense of community would be positively related, and Autistic identity and sense of community would be positively related to psychological well-being. It was also hypothesized that the positive relationship between the importance and value of involvement in the online Autistic community and psychological well-being would be mediated by Autistic identity and sense of community. Correlations were examined among the hypothesized relationships, and a mediated regression model (Baron & Kenny, 1986) was used to explore the relationship between the importance and value of involvement in the online Autistic community and psychological well-being with Autistic identity and sense of community as mediators. Significant relationships were found between the importance and value of involvement in the online Autistic community and Autistic identity, between the importance and value of involvement in the online Autistic community and sense of community, and between autistic identity and sense of community. As a first step to test the mediated regression models, psychological well-being was regressed on the importance and value of involvement in the online Autistic community. The regression was not significant; therefore the hypothesized model was not significant. Despite non-significant mediated regression model results, significant relationships among the importance and value of involvement in the online Autistic community and Autistic identity and sense of community offer important results. These finding illuminate the potential positive impact of the importance and value of involvement in the online Autistic community, including evidence counter to the myth that autistic individuals lack skills necessary for social relationships. These findings support the positive utility of involvement in the online Autistic community for autistic adults. Further research with a larger sample size is recommended, due to low power coefficients in the analyses. Additional research may also further illuminate the findings of the current study. Possible topics may include sense of community and Autistic identity in individuals that do not use the Internet, differences in the way the Internet is used in autistic individuals, and different measures of involvement in the online Autistic community and well-being.
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Strapatá, Barbora. "Marketingová stratégia nového online produktu Promise-Book." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85386.

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The master thesis addresses the topic of human ability to keep a promise, resolution and deals with this issue in the context of social networks and internet in the form of online platform called Promise-Book. In particular, the thesis contains data and research materials which could be used as references for the product's marketing strategy. The materials include: market analysis based on a questionnaire research as well as a research based on secondary data acquired from public statistics and studies provided by different internet websites, which are summarized in a SWOT analysis. The thesis also shows different options on internet advertisement and marketing strategies and determines the most suitable one for Promise-Book platform. The marketing strategy is performed in a standard way: Segmentation-Targeting-Positioning, Marketing Mix, Budget and Action Plan, Monitoring and evaluation.
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Köhler, Thomas, and Nina Kahnwald. "Online Communities: Technologies and Analyses for Networks in Industry, Research and Education: 17. Workshop GeNeMe ’14 Gemeinschaften in Neuen Medien: Virtual Enterprises, Research Communities & Social Media Networks: TU Dresden, 01./02.10.2014." Technische Universität Dresden, 2014. https://tud.qucosa.de/id/qucosa%3A28314.

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GeNeMe steht für Gemeinschaften in Neuen Medien, im englischen Sprachgebrauch als Web-based Communities oder Online Communities bezeichnet. Diese Konfigurationen aus Informationstechnologie und sozialer Gemeinschaft sind gleichermaßen Thema für Anwendung und Forschung. Dabei wird deutlich, dass diese Konfigurationen aus Informationstechnologie und sozialer Gemeinschaft in vielfältigen Kontexten zu beobachten sind. Online Communities sind ohne Softwaretechnologie nicht denkbar - ebenso wenig wie ohne die neue Kultur gemeinschaftlichen Online-Handelns in Wirtschaft, Forschung und Bildung oder in privaten Räumen. Online Communities sind daher Thema mehrerer Fachdisziplinen: Informatik und Wirtschaftswissenschaft, Bildungswissenschaft und natürlich Kommunikationswissenschaft. Auf der GeNeMe trifft Medien- und Softwaretechnologie auf Wirtschaftsinformatik, Sozial- und Erziehungswissenschaft, werden Wissensarchitektur und -kooperation diskutiert. Diese Interdisziplinarität ist Tradition und Stärke der GeNeMe auch im 17. Jahr ihres Bestehens. Die Schwerpunkte des vorliegenden Bandes widmen sich eingangs überblicksartig der Analyse und Exploration von Trends und der Ausdifferenzierung von Forschungsfeldern. In den folgenden Kapiteln stehen dann zum einen die Beobachtung und Analyse von Informations- und Kommunikationshandeln unterschiedlicher Zielgruppen sowie zum anderen praktische Ansätze zur technologisch-didaktischen Gestaltung kollaborativer Systeme im Vordergrund. Nach Beiträgen aus spezifischen Einsatz- bzw. Forschungsfeldern bilden Analysen zu Nutzerverhalten in Business-Netzwerken sowie zu Geschäftsmodellen für MOOCs den Abschluss.:Inhalt A Eingeladene Vorträge 1 A.1 Wissenskooperation in betrieblichen Gemeinschaften 1 A.2 Dropbox & Co, alles schon ge-cloud? 3 B Trend- und Strukturanalysen 5 B.1 Trends der digitalen Lehre. Befunde einer Analyse des wissenschaftlichen Fachdiskurses. 5 B.2 Existieren Wissensmanagement-Schulen? - Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren 17 B.3 Fablabs für die Forschung: Die Fusion von Makerspace und Bibliothek 33 C Information und Kommunikation 49 C.1 Gut vernetzt ist halb gewonnen? – Eine Analyse der Zusammenhänge zwischen Facebook-Nutzung und sozialem sowie akademischem Erfolg von Studierenden 49 C.2 Informationsbezogene Mediennutzung Jugendlicher und Senioren in (Online-)Communities 63 C.3 Enterprise 2.0 – ein Konzept das dem Kommunikationsverhalten junger Menschen entgegen kommt? 79 D Wissensgenerierumg und -kollaboration 93 D.1 Vergleich von offener und Script-basierter Kollaboration in einer Videolernumgebung 93 D.2 COMPASS – Eine kollaborative Plattform zur Wissensgenerierung über Accessibility-Probleme und deren Lösungen 105 D.3 auditorium – Frage, Diskutiere und Teile Dein Wissen! 117 E Anwendungsfelder 127 E.1 Online Communities für Energieversorger – Mehr als nur Self-Service? 127 E.2 „Ich nehme etwas für meine persönliche Balance mit“ – Eine explorative Studie zum Erleben von Erholung in Massively Multiplayer Online Role-Playing Games 137 F Business Netzwerke 153 F.1 Einfl usskompetenz 2.0 – eine Analyse erfolgsstrategischen Nutzerverhaltens in webbasierten Business-Netzwerken 153 F.2 Mehr Schein als Sein? – Eine Analyse der Selbstdarstellung vonStudierenden im Karrierenetzwerk Xing 165 G MOOCs .179 G.1 Analyse von Geschäftsmodellen nationaler und internationaler MOOC-Provider 179 G.2 Kosten und Wert von MOOCs am Beispiel der Plattform iMooX 191 Adress- und Autorenverzeichnis 207
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Weisman, Jason E. "Online Risk Behaviors." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1375278989.

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Dimond, Jill Patrice. "Feminist HCI for real: designing technology in support of a social movement." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45778.

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How are technologies are designed and used tactically by activists? As the HCI community starts to contend with social inequalities, there has been debate about how HCI researchers should address approach this type of research. However, there is little research examining practitioners such as social justice activists who confront social problems, and are using technology, such as mobile phones, blogging, and social media to do so. In this dissertation, I build on this knowledge within the context of a social movement organization working to stop street harassment (harassment towards women and minorities in public) called Hollaback (ihollaback.org). I position myself as an action researcher doing research and building technologies such as mobile apps and a blogging platform to collect stories of harassment and to support activists. The organization has collected over 3000 stories and represents 50 different locales in 17 countries. Through a series of studies, I examined how technology impacts the organization, activists, and those who contribute stories of harassment. I found evidence that the storytelling platform helps participants fundamentally shift their cognitive and emotional orientation towards their experience and informs what activists do on the ground. My results suggest that doing activism using technology can help remove some barriers to participation but can also lower expectations for the amount of work required. I also looked at how different social media tactics can increase the number of followers and how traditional media plays a role in these tactics. My work contributes theoretically to the HCI community by building on social movement theory, feminist HCI, and action research methodology. My investigation also sheds light empirically on how technology plays a role in a social movement organization, and how it impacts those who participate.
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Books on the topic "Online social networks – Research"

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Social media modeling and computing. London: Springer, 2011.

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Ting, I.-Hsien. Social network mining, analysis, and research trends: Techniques and applications. Hershey, PA: Information Science Reference, 2012.

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1963-, Hatzipanagos Stylianos, and Warburton Steven, eds. Handbook of research on social software and developing community ontologies. Hershey, PA: Information Science Reference, 2009.

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Abraham, Ajith, and Aboul Ella Hassanien. Computational social network analysis: Trends, tools and research advances. Dordrecht: Springer, 2010.

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Cruz-Cunha, Maria Manuela. Handbook of research on business social networking: Organizational, managerial and technological dimensions. Hershey, PA: Business Science Reference, 2012.

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Mann, Chris. Internet communication and qualitative research: A handbook for researching online. London: Sage Publications, 2000.

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Cipolla-Ficarra, Francisco V. Handbook of research on interactive information quality in expanding social network communications. Hershey: Information Science Reference, An Imprint of IGI Global, 2015.

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1949-, Whitworth Brian, and Moor Aldo de, eds. Handbook of research on socio-technical design and social networking systems. Hershey PA: Information Science Reference, 2009.

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Bartolacci, Michael R. Research, practice, and educational advancements in telecommunications and networking. Hershey, PA: Information Science Reference, 2012.

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Sterne, Jim. Social Media Metrics. New York: John Wiley & Sons, Ltd., 2010.

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Book chapters on the topic "Online social networks – Research"

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Lambropoulos, Niki, Pan Kampylis, and Aneesha Bakharia. "User Innovation Networks and Research Challenges." In Online Communities and Social Computing, 364–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02774-1_40.

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Carminati, Barbara, Elena Ferrari, and Marco Viviani. "Conclusions and Further Research Directions." In Security and Trust in Online Social Networks, 77–80. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-02339-2_5.

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Bourke, Steven, Michael P. O’Mahony, Rachael Rafter, Kevin McCarthy, and Barry Smyth. "Collaborative Filtering For Recommendation In Online Social Networks." In Research and Development in Intelligent Systems XXIX, 303–16. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4739-8_24.

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Hogan, Bernie. "Online Social Networks: Concepts for Data Collection and Analysis." In The SAGE Handbook of Online Research Methods, 241–57. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2017. http://dx.doi.org/10.4135/9781473957992.n14.

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Mahmood, Shah, and Yvo Desmedt. "Online Social Networks, a Criminals Multipurpose Toolbox (Poster Abstract)." In Research in Attacks, Intrusions, and Defenses, 374–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33338-5_19.

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Day, Peter, and Clair Farenden. "CNA2 – Communications and Community; Neighborhoods and Networks; Action and Analysis: Concepts and Methods for Community Technology Research." In Online Communities and Social Computing, 301–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73257-0_34.

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Cardon, Dominique, and Christophe Prieur. "Online Social Networks: A Research Object for Computer Science and Social Sciences." In Digital Cognitive Technologies, 119–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599761.ch8.

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Wang, Binghui, Le Zhang, and Neil Zhenqiang Gong. "SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels." In Research in Attacks, Intrusions, and Defenses, 228–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00470-5_11.

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Köhler, Thomas, Christoph Lattemann, and Jörg Neumann. "Organising Academia Online." In Progress in IS, 11–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66262-2_2.

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AbstractResearch on organisational arrangements of scholarly networks in both e-learning and e-research is located at the intersection of different theoretical justifications and developmental contexts such as organisational theory, computer science, education science and media informatics. However, there is still a lack of research on the organisational context of e-learning arrangements and its impact on collaboration in academic communities. E-learning research shows that the integration of electronic media in scientific communities negatively impacts their effectiveness and causes conflicts within communities. Research networks however are far less investigated as there is not direct didactic focus on how to collaborate. Recent theories on organisational design, virtual organisations and governance provide concepts for organising e-collaboration more effectively. Managerial instruments such as direct control of results and behaviours need to be supplemented or even replaced by concepts of social control; typically trust and confidence become the central mechanisms for the new forms of inter- and intra-organisational coordination. This paper starts with concepts. Then, to exemplify the organisational coordination mechanisms in scholarly e-communities, the authors critically discuss and reflect on these organisational arrangements and managerial concepts for two higher education portals and one research network in Germany. The conclusion is that, just as previous research has confirmed for educational networks, governance within academic networks relies heavily on the functionality of social and communicative forms of control.
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Xu, Ronghua, Jiaqi Zhou, Qingpeng Zhang, and James A. Hendler. "Research on Online Health Communities: A Systematic Review." In Encyclopedia of Social Network Analysis and Mining, 1–12. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_110215-1.

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Conference papers on the topic "Online social networks – Research"

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Dumas, Catherine L., Akanksha Atrey, Jooyeon Lee, Teresa M. Harrison, Tim Fake, Xiaoyi Zhao, and S. S. Ravi. "E-petition Information Diffusion in Online Social Networks." In dg.o '16: 17th International Digital Government Research Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2912160.2912227.

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Wang, Jian, Kuoyuan Qiao, and Zhiyong Zhang. "Research on Access Control Progress for Online Social Networks." In International Conference on Communication and Electronic Information Engineering (CEIE 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ceie-16.2017.75.

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Khalil Abdulla, Ahmed, and Dr Spiridon Bakiras. "Data Privacy in Online Social Networks With FineGrained Access Control." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2018. http://dx.doi.org/10.5339/qfarc.2018.ictpd771.

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Wang, Weiqing, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, and Quoc Viet Hung Nguyen. "Online User Representation Learning Across Heterogeneous Social Networks." In SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3331184.3331258.

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Kaiser, Carolin, Johannes Krockel, and Freimut Bodendorf. "Analyzing Opinion Formation in Online Social Networks: Mining Services for Online Market Research." In 2011 Annual SRII Global Conference (SRII). IEEE, 2011. http://dx.doi.org/10.1109/srii.2011.51.

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Jin, Zhaoyan, Quanyuan Wu, Dianxi Shi, and Huining Yan. "Random Walk Based Inverse Influence Research in Online Social Networks." In 2013 IEEE International Conference on High Performance Computing and Communications (HPCC) & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2013. http://dx.doi.org/10.1109/hpcc.and.euc.2013.316.

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"Research on Security of Online Social Network." In 2017 the 7th International Workshop on Computer Science and Engineering. WCSE, 2017. http://dx.doi.org/10.18178/wcse.2017.06.112.

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Zhou, Chuan-Sheng, and Li-Hua Niu. "Research on Component Based Online Shopping System Design." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.36.

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Burchard, Luk, Daniel Thilo Schroeder, Konstantin Pogorelov, Soeren Becker, Emily Dietrich, Petra Filkukova, and Johannes Langguth. "A Scalable System for Bundling Online Social Network Mining Research." In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020. http://dx.doi.org/10.1109/snams52053.2020.9336577.

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Jin, Xin, and Jianyu Li. "Research on Statistical Feature of Online Social Networks Based on Complex Network Theory." In 2014 Seventh International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2014. http://dx.doi.org/10.1109/cso.2014.16.

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Reports on the topic "Online social networks – Research"

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Hotsur, Oksana. SOCIAL NETWORKS AND BLOGS AS TOOLS PR-CAMPAIGN IMPLEMENTATIONS. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11110.

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The article deals with the ways in which social networks and the blogosphere influence the formation and implementation of a PR campaign. Examples from the political sphere (election campaigns, initiatives), business (TV brands, traditional and online media) have revealed the opportunities that Facebook, Telegram, Twitter, YouTube and blogs promote in promoting advertising, ideas, campaigns, thoughts, or products. Author blogs created on special websites or online media may not be as much of a tool in PR as an additional tool on social media. It is noted that choosing a blog as the main tool of PR campaign has both positive and negative points. Social networks intervene in the sphere of human life, become a means of communication, promotion, branding. The effectiveness of social networks has been evidenced by such historically significant events as Brexit, the Arab Spring, and the Revolution of Dignity. Special attention was paid to the 2019 presidential election. Based on the analysis of individual PR campaigns, the reasons for successful and unsuccessful campaigns from the point of view of network communication, which provide unlimited multimedia and interactive tools for PR, are highlighted. In fact, these concepts significantly affect the effectiveness of the implementation of PR-campaign, its final effectiveness, which is determined by the achievement of goals. Attention is drawn to the culture of communication during the PR campaign, as well as the concepts of “trolls”, “trolling”, “bots”, “botoin industry”. The social communication component of these concepts is unconditional. Choosing a blog as the main tool of a marketing campaign has both positive and negative aspects. Only a person with great creative potential can run and create a blog. In addition, it takes a long time. In fact, these two points are losing compared to other internet marketing tools. Further research is interesting in two respects. First, a comparison of the dynamics of the effectiveness of PR-campaign tools in Ukraine in 2020 and in the past, in particular, at the dawn of state independence. Secondly, to investigate how/or the concept of PR-campaigns in social networks and blogs is constantly changing.
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Droogan, Julian, Lise Waldek, Brian Ballsun-Stanton, and Jade Hutchinson. Mapping a Social Media Ecosystem: Outlinking on Gab & Twitter Amongst the Australian Far-right Milieu. RESOLVE Network, September 2022. http://dx.doi.org/10.37805/remve2022.6.

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Attention to the internet and the online spaces in which violent extremists interact and spread content has increased over the past decades. More recently, that attention has shifted from understanding how groups like the self-proclaimed Islamic State use the internet to spread propaganda to understanding the broader internet environment and, specifically, far-right violent extremist activities within it. This focus on how far right violent extremist—including far-right racially and ethnically motivated violent extremists (REMVEs) within them—create, use, and exploit the online networks in which they exist to promote their hateful ideology and reach has largely focused on North America and Europe. However, in recent years, examinations of those online dynamics elsewhere, including in Australia, is increasing. Far right movements have been active in Australia for decades. While these movements are not necessarily extremist nor violent, understanding how violent far right extremists and REMVEs interact within or seek to exploit these broader communities is important in further understanding the tactics, reach, and impact of REMVEs in Australia. This is particularly important in the online space access to broader networks of individuals and ideas is increasingly expanding. Adding to a steadily expanding body of knowledge examining online activities and networks of both broader far right as well as violent extremist far right populations in Australia, this paper presents a data-driven examination of the online ecosystems in which identified Australian far-right violent extremists exist and interact,1 as mapped by user generated uniform resource locators (URL), or ‘links’, to internet locations gathered from two online social platforms—Twitter and Gab. This link-based analysis has been used in previous studies of online extremism to map the platforms and content shared in online spaces and provide further detail on the online ecosystems in which extremists interact. Data incorporating the links was automatically collected from Twitter and Gab posts from users existing within the online milieu in which those identified far right extremists were connected. The data was collected over three discrete one-month periods spanning 2019, the year in which an Australian far right violent extremist carried out the Christchurch attack. Networks of links expanding out from the Twitter and Gab accounts were mapped in two ways to explore the extent and nature of the online ecosystems in which these identified far right Australian violent extremists are connected, including: To map the extent and nature of these ecosystems (e.g., the extent to which other online platforms are used and connected to one another), the project mapped where the most highly engaged links connect out to (i.e., website domain names), and To explore the nature of content being spread within those ecosystems, what sorts of content is found at the end of the most highly engaged links. The most highly engaged hashtags from across this time are also presented for additional thematic analysis. The mapping of links illustrated the interconnectedness of a social media ecosystem consisting of multiple platforms that were identified as having different purposes and functions. Importantly, no links to explicitly violent or illegal activity were identified among the top-most highly engaged sites. The paper discusses the implications of the findings in light of this for future policy, practice, and research focused on understanding the online ecosystems in which identified REMVE actors are connected and the types of thematic content shared and additional implications in light of the types of non-violent content shared within them.
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Campos Freire, F., D. Rivera Rogel, and C. Rodríguez. Presence and impact of Andean universities in online social networks. Revista Latina de Comunicación Social, September 2014. http://dx.doi.org/10.4185/rlcs-2014-1025en.

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Valerio-Ureña, G., and DJ Herrera-Murillo. Online social networks as a communication channel for open access journals. Revista Latina de Comunicación Social, November 2017. http://dx.doi.org/10.4185/rlcs-2017-1222en.

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Gil-Clavel, Beatriz Sofía, Emilio Zagheni, and Valeria Bordone. Close social networks among older adults: the online and offline perspectives. Rostock: Max Planck Institute for Demographic Research, October 2020. http://dx.doi.org/10.4054/mpidr-wp-2020-035.

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Freedman, Seth, and Ginger Zhe Jin. The Information Value of Online Social Networks: Lessons from Peer-to-Peer Lending. Cambridge, MA: National Bureau of Economic Research, January 2014. http://dx.doi.org/10.3386/w19820.

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Pererva, Victoria V., Olena O. Lavrentieva, Olena I. Lakomova, Olena S. Zavalniuk, and Stanislav T. Tolmachev. The technique of the use of Virtual Learning Environment in the process of organizing the future teachers' terminological work by specialty. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3868.

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This paper studies the concept related to E-learning and the Virtual Learning Environment (VLE) and their role in organizing future teachers’ terminological work by specialty. It is shown the creation and use of the VLE is a promising approach in qualitative restructuring of future specialists’ vocation training, a suitable complement rather than a complete replacement of traditional learning. The concept of VLE has been disclosed; its structure has been presented as a set of components, such as: the Data-based component, the Communication-based, the Management-and-Guiding ones, and the virtual environments. Some VLE’s potential contributions to the organization of terminological work of future biology teachers’ throughout a traditional classroom teaching, an independent work, and during the field practices has been considered. The content of professionally oriented e-courses “Botany with Basis of Geobotany” and “Latin. Botany Terminology” has been revealed; the ways of working with online definer (guide), with UkrBIN National Biodiversity Information Network, with mobile apps for determining the plant species, with digital virtual herbarium, with free software have been shown. The content of students’ activity in virtual biological laboratories and during virtual tours into natural environment has been demonstrated. The explanations about the potential of biological societies in social networks in view of students’ terminology work have been given. According to the results of empirical research, the expediency of using VLEs in the study of professional terminology by future biology teachers has been confirmed.
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STROYKOV, S., and I. NIKITINA. THE CURRENT STATE OF THE PROBLEM OF HYPERTEXT IN LINGUISTIC LITERATURE. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2077-1770-2022-14-2-3-50-73.

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In this paper it’s the first time the authors have reviewed linguistic literature (2008-2022) devoted to the problem of literary and electronic hypertext. The purpose of the paper is to review linguistic literature and identify the current state of the problem of literary and electronic hypertext. Materials and methods. On the basis of this purpose we reviewed 42 scientific papers published in 2008-2022 and representing the results of linguistic research of literary and electronic hypertext. For our study we used an analytical and descriptive method, which is traditional for linguistics and allows us to solve the tasks set in our paper. Results. A review of linguistic papers has shown that hypertext is a relevant subject of linguistic research. Scientists propose various definitions of this concept; consider it as a “special information and communication environment”. Many studies are devoted to literary (fiction and non-fiction) hypertext, however, a much larger number of papers are devoted to various aspects of electronic hypertext, including electronic fiction hypertext and electronic hypertext of some genres (news genres, online advertising, social network and online diary community as well as websites). We consider that it is the electronic environment where hypertext is implemented in all its functions. Practical implications. The results of the study can be used as a theoretical basis for further theoretical and practical study of various aspects of literary and electronic hypertext.
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TARAKANOVA, V., A. ROMANENKO, and T. TROITSKAYA. FACTORS AND RISKS OF ENVIRONMENTAL SAFETY OF THE CITIES OF THE MOSCOW REGION. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2077-1770-2022-14-2-2-19-29.

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In this paper it’s the first time the authors have reviewed linguistic literature (2008-2022) devoted to the problem of literary and electronic hypertext. The purpose of the paper is to review linguistic literature and identify the current state of the problem of literary and electronic hypertext. Materials and methods. On the basis of this purpose we reviewed 42 scientific papers published in 2008-2022 and representing the results of linguistic research of literary and electronic hypertext. For our study we used an analytical and descriptive method, which is traditional for linguistics and allows us to solve the tasks set in our paper. Results. A review of linguistic papers has shown that hypertext is a relevant subject of linguistic research. Scientists propose various definitions of this concept; consider it as a “special information and communication environment”. Many studies are devoted to literary (fiction and non-fiction) hypertext, however, a much larger number of papers are devoted to various aspects of electronic hypertext, including electronic fiction hypertext and electronic hypertext of some genres (news genres, online advertising, social network and online diary community as well as websites). We consider that it is the electronic environment where hypertext is implemented in all its functions. Practical implications. The results of the study can be used as a theoretical basis for further theoretical and practical study of various aspects of literary and electronic hypertext.
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Parra, P., AJ Gordo, and SA D’Antonio. Social research applied to social networks. A methodological innovation for the analysis of Facebook Likes. Revista Latina de Comunicación Social, RLCS, February 2014. http://dx.doi.org/10.4185/rlcs-2014-1008en.

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