Relevant bibliographies by topics / Collaborative and social computing

Academic literature on the topic 'Collaborative and social computing'

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Published: 10 December 2022
Last updated: 25 May 2024

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Journal articles on the topic "Collaborative and social computing"

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Alonso, Ricardo S., Javier Prieto, Óscar García, and Juan M. Corchado. "Collaborative learning via social computing." Frontiers of Information Technology & Electronic Engineering 20, no. 2 (February 2019): 265–82. http://dx.doi.org/10.1631/fitee.1700840.

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Vlachopoulou, Olympia. "Social Computing for Collaborative Learning in Higher Education." Journal of Digital Art & Humanities 3, no. 2 (December 27, 2022): 24–33. http://dx.doi.org/10.33847/2712-8148.3.2_2.

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This study aims to investigate the use of the specific social computing tool (Wiki) for collaborative learning, and study students’ perceptions in higher education. The participants of the study were a higher education student cohort in Bahrain. The data was collected through questionnaire and interviews. To demonstrate the intricacy of the investigation topic, a mixed methods data collection method was employed. Wiki as a social computing tool significantly enhances student collaboration, according to the preliminary questionnaire results and interviews with selected respondents. As a social computing tool, a Wiki has the potential to play a significant role in the future of learning settings, according to the study's findings.
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Moreno, Nathalie, Alejandro Pérez-Vereda, and Antonio Vallecillo. "Managing Reputation in Collaborative Social Computing Applications." Journal of Object Technology 21, no. 3 (2022): 3:1. http://dx.doi.org/10.5381/jot.2022.21.3.a1.

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Huang, Chenn-Jung, Heng-Ming Chen, Shun-Chih Chang, and Sheng-Yuan Chien. "Application of Social Computing to Collaborative Web Search." Open Journal of Social Sciences 03, no. 09 (2015): 28–33. http://dx.doi.org/10.4236/jss.2015.39005.

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Gonzalez, Patricia. "Anthropological Research and Collaborative Computing." Social Science Computer Review 14, no. 1 (April 1996): 21–23. http://dx.doi.org/10.1177/089443939601400106.

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Bin Zamanhuri, Mohd Afiq, Zalilah Abd Aziz, Rose Hafsah Abd Rauf, Elly Johana Johan, and Noratikah Shamsudin. "A review on various methods of collaborative computing." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (November 1, 2019): 1002. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp1002-1008.

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Currently, mosques in Malaysia distribute their lecture schedules either on paper-based form or by uploading the schedule on their social media platform. This has some disadvantages such as paper schedules are susceptible to damages and information on social media platform is often not updated to current changes. Collaborative Computing is a system that enable individuals to work together remotely by making use of the reach ability of the internet. In order to utilise the Internet’s obvious advantages over paper-based and rapid information distribution and asynchronous communication, a review is conducted to study the available methods of collaborative computing, further analyse current research papers. Result shows that Centralized Computing method is the most suitable method for developing collaborative mobile application for Islamic Lectures schedule.
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Li, Yafei, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, and Byron Choi. "Geo-Social K-Cover Group Queries for Collaborative Spatial Computing." IEEE Transactions on Knowledge and Data Engineering 27, no. 10 (October 1, 2015): 2729–42. http://dx.doi.org/10.1109/tkde.2015.2419663.

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Huang, Lin Na, and Chun Li Liu. "Construction of Collaborative Learning Environment Supported by Cloud-Computing." Applied Mechanics and Materials 543-547 (March 2014): 3581–85. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3581.

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In the field of education, cloud computing, as a basic environment and platform for the future network learning, will bring positive effect on construction of the learners' personal learning environment, on construction of school resources, on development of the educational information system. Based on the analysis of the cloud-computing influence on collaborative learning, this paper puts forward the construction strategy of collaborative learning environment supported by cloud-computing and the specific application case, which will provide reference for cloud-computing application in education informatization and social network learning.
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Ortegat, Guillaume, Donatien Grolaux, Etienne Riviere, and Jean Vanderdonckt. "Engineering the Transition of Interactive Collaborative Software from Cloud Computing to Edge Computing." Proceedings of the ACM on Human-Computer Interaction 6, EICS (June 14, 2022): 1–31. http://dx.doi.org/10.1145/3532210.

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The "Software as a Service" (SaaS) model of cloud computing popularized online multiuser collaborative software. Two famous examples of this class of software are Office 365 from Microsoft and Google Workspace. Cloud technology removes the need to install and update the software on end users' computers and provides the necessary underlying infrastructure for online collaboration. However, to provide a good end-user experience, cloud services require an infrastructure able to scale up to the task and allow low-latency interactions with a variety of users worldwide. This is a limiting factor for actors that do not possess such infrastructure. Unlike cloud computing which forgets the computational and interactional capabilities of end users' devices, the edge computing paradigm promises to exploit them as much as possible. To investigate the potential of edge computing over cloud computing, this paper presents a method for engineering interactive collaborative software supported by edge devices for the replacement of cloud computing resources. Our method is able to handle user interface aspects such as connection, execution, migration, and disconnection differently depending on the available technology. We exemplify our approach by developing a distributed Pictionary game deployed in two scenarios: a nonshared scenario where each participant interacts only with their own device and a shared scenario where participants also share a common device, including a TV. After a theoretical comparative study of edge vs. cloud computing, an experiment compares the two implementations to determine their effect on the end user's perceived experience and latency vs. real latency.
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Liu, Xun. "Blockchain-Enabled Collaborative Edge Computing for Intelligent Education Systems Using Social IoT." International Journal of Distributed Systems and Technologies 13, no. 7 (July 12, 2022): 1–19. http://dx.doi.org/10.4018/ijdst.307958.

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As new technologies such as the internet of things, big data analysis, artificial intelligence, and cloud computing are widely used, intelligent learning platforms and web-based educational platforms are gaining popularity. Social internet of things (SIoT) uses mobile edge computing and interpersonal interactions among SIoT users to take advantage of the benefits that collaborative edge computing (CEC) offers, even while posing new challenges. The communication efficiency and the security of intelligent education systems must be considerably developed to ensure real-time services. Therefore, this work deliberates an advanced structural framework for a blockchain-enabled 6G communication network (BC-6GCN) for the intelligent education system. Schools must analyze massive data volumes to provide intelligent education services, leaving the data open to manipulation by malicious hackers. The challenges discussed can lead to the potential advancement of protected, reliable, and smart SIoT frameworks.
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Dissertations / Theses on the topic "Collaborative and social computing"

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Gheitasy, Ali. "Socio-technical gaps and social capital formation in Online Collaborative Consumption communities." Thesis, University of West London, 2017. https://repository.uwl.ac.uk/id/eprint/3835/.

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Information Communication Technologies (ICTs) are transforming social activities and interactions which are naturally varied and dynamic. In this process, ‘gaps’ develop between the technologies and emerging social requirements. Given that the main challenge for Computer Supported Cooperative Work (CSCW) is to identify and ameliorate these socio-technical gaps, it is essential to understand how individuals work and collaborate in groups, societies, and communities. The main question addressed in this study regards the identification of these gaps in the social activities of Online Collaborative Consumption (OCC). The intention is to improve user experience and design requirements to support OCC at the socio-technical design level. OCC facilitates sharing, swapping, trading, or renting products, services, and resources, via the computer-mediated interactions. Etsy, an online marketplace and community for handmade and craft goods, is the focus of this study as a community in which OCC takes place. The evaluation of online communities by using an ethnographic approach is an equally important question which this study investigates. Due to a lack of standard methods, a new combined methodological approach is proposed in this research (Predictive ethnography) and it was used in evaluation of collaborative communities to investigate the socio-technical gaps. In this approach, online ethnography complemented predictive evaluation with the aid of heuristics including sociability, usability, and user experience (UX) items. These heuristics were drawn from previous literature as the success factors for the online communities. The textual interactions from discussions of the forum and teams on Etsy that were related to these heuristics were collected and coded. Over 1000 posts from 178 threads were collected. Their frequencies were measured to demonstrate their importance, and further ethnography helped the researcher in qualitative analysis and meaning making of the textual interactions. The subsidiary question this research aims to answer is how social capital is developed in the OCC communities. Social capital is utilised as a tool to enhance the understanding of the socio-technical requirements of OCC communities and to improve the process of social capital generation. The same above-mentioned methodological approach (Predictive ethnography) was applied with the heuristics replaced by social capital measures. Over 9500 posts collected from 97 threads from the textual discussions of different Etsy teams. This study investigates the social capital formation in different types of teams such as topic-based ones that are created based on the common interest topics, and location-based ones that are created based on the shared locations of the members. In the topic-based teams, a significant amount of knowledge sharing and intellectual capital was observed. In location-based teams, most interactions were within social interactions and relational capital. The new method proposed in this research has shown its effectiveness in gaining insight from the natural discussions of the members. In total, 33 socio-technical gaps were identified and presented with possible recommendations. The most significant gaps concerned: Trust creation features; relevant rules of behaviour; clear displayed policies; and social presence tools.
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Lima, Christopher Viana. "Context-aware framework for collaborative applications." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15921.

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Doutoramento em Engenharia Informática
Future pervasive environments will take into consideration not only individual user’s interest, but also social relationships. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups and taking into account not only individual interests, but also the collective and social context. Social applications in CSCW (Computer Supported Cooperative Work) field represent new challenges and possibilities in terms of use of social context information for adaptability in pervasive environments. In particular, the research describes the approach in the design and development of a context.aware framework for collaborative applications (CAFCA), utilizing user’s context social information for proactive adaptations in pervasive environments. In order to validate the proposed framework an evaluation was conducted with a group of users based on enterprise scenario. The analysis enabled to verify the impact of the framework in terms of functionality and efficiency in real-world conditions. The main contribution of this thesis was to provide a context-aware framework to support collaborative applications in pervasive environments. The research focused on providing an innovative socio-technical approach to exploit collaboration in pervasive communities. Finally, the main results reside in social matching capabilities for session formation, communication and coordinations of groupware for collaborative activities.
O futuro dos ambientes pervasivos irá levar em consideração não só os interesses individuais dos utilizadores, mas também as relações sociais. Desta forma, a participação em comunidades pode levar o utilizador para além da experiência em espaços tradicionais pervasivos, permitindo a cooperação entre grupos e tendo em conta não só os intresses individuais, mas também o contexto coletivo e social. Aplicações sociais na área de CSCW (Computer Supported Cooperative Work) representam novos desafios e possibilidades em termos do uso da informação social de contexto para a adaptação e personalização em computação pervasiva. Esta tese explora o potencial da utilização consciente do contexto e das informações sociais em aplicações CSCW, a fim de apoiar a colaboração em ambientes pervasivos. Em particular, a investigação descreve a abordagem do design e desenvolvimento de um framework consciente do contexto para aplicações colaborativas (CAFCA), utilizando-se das informações de contexto e sociais dos utilizadores para adaptações proactivas em ambientes pervasivos. A fim de validar o framework proposto, uma avaliação foi realizada com um grupo de utilizadores, com base num cenário empresarial. A análise permitiu verificar o impacto do framework em termos de funcionalidade e eficiência em condições do mundo real. A principal contribuição deste trabalho foi desenvolver um framework contexto-aware para suportar aplicações de colaboração em ambientes pervasivos. A investigação centrou-se em uma abordagem sociotécnica inovadora de explorar a colaboração em comunidades. Os principais objetivos residem na capacidade social para formação de sessões, a comunicação e coordenação de groupware para atividades colaborativas.
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Abedin, Babak Information Systems Technology &amp Management Australian School of Business UNSW. "Investigating non???pedagogical sociability of asynchronous computer supported collaborative learning environments." Awarded by:University of New South Wales. Information Systems, Technology & Management, 2009. http://handle.unsw.edu.au/1959.4/44577.

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While technologically Computer Supported Collaborative Learning (CSCL) systems have been considerably improved, previous studies have shown that the social aspect of CSCL is often neglected or assumed to happen automatically just by creating such virtual learning environments. Several studies on the other hand showed sociability of CSCL environments strongly relate to online learning enjoyment and effectiveness of learning. Social interactions in CSCL can be broadly categorized as pedagogical/on-task and non-pedagogical/non-task interactions. Accordingly, this thesis investigates the non-pedagogical sociability of CSCL environments and primarily demonstrates that non-pedagogical/non-task interactions do occur in these environments. In addition, this thesis operationalizes the notion of non-pedagogical sociability of CSCL environments and determines factors that impact on it. A multi method approach for data collection and analysis is used. Results of a content analysis extend the Transcript Analysis Tool (TAT) instrument, the tool used for the content analysis, and show the presence and pattern of a substantial amount of nonpedagogical social exchanges occur in both virtual task-related as well as non-taskrelated spaces. The findings from the survey data, on the other hand, support the SIP theory and SIDE theory predictions and revealed that the sense of cohesion and awareness of others significantly impact on the non-pedagogical sociability of CSCL. Furthermore, the study demonstrates that the perception of self-representation and perception of compatibility affect the sense of cohesion and awareness of others and indirectly contribute to the perceived non-pedagogical sociability of the environment. The findings of this thesis can be used in future research for investigating the relationship between the non-pedagogical sociability of CSCL and other CSCL factors. It also provides CSCL lecturers and facilitators with a conceptual model by which sociability can be explicitly addressed in their course planning and delivery processes. From a practical point of view, this study develops and validates an instrument that guides required changes in the CSCL for improving the non-pedagogical social functionality of the environment. The findings also stress the importance of virtual spaces in CSCL design exercises in order to provide opportunities for students to have non-task discussions and to reflect on their own and others??? experiences and ideas.
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Ariyattu, Resmi. "Towards federated social infrastructures for plug-based decentralized social networks." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S031/document.

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Dans cette thèse, nous abordons deux problèmes soulevés par les systèmes distribués décentralisés - le placement de réseaux logiques de façon compatible avec le réseau physique sous-jacent et la construction de cohortes d'éditeurs pour dans les systèmes d'édition collaborative. Bien que les réseaux logiques (overlay networks) été largement étudiés, la plupart des systèmes existant ne prennent pas ou prennent mal en compte la topologie du réseau physique sous-jacent, alors que la performance de ces systèmes dépend dans une grande mesure de la manière dont leur topologie logique exploite la localité présente dans le réseau physique sur lequel ils s'exécutent. Pour résoudre ce problème, nous proposons dans cette thèse Fluidify, un mécanisme décentralisé pour le déploiement d'un réseau logique sur une infrastructure physique qui cherche à maximiser la localité du déploiement. Fluidify utilise une stratégie double qui exploite à la fois les liaisons logiques d'un réseau applicatif et la topologie physique de son réseau sous-jacent pour aligner progressivement l'une avec l'autre. Le protocole résultant est générique, efficace, évolutif et peut améliorer considérablement les performances de l'ensemble. La deuxième question que nous abordons traite des plates-formes d'édition collaborative. Ces plates-formes permettent à plusieurs utilisateurs distants de contribuer simultanément au même document. Seuls un nombre limité d'utilisateurs simultanés peuvent être pris en charge par les éditeurs actuellement déployés. Un certain nombre de solutions pair-à-pair ont donc été proposées pour supprimer cette limitation et permettre à un grand nombre d'utilisateurs de collaborer sur un même document sans aucune coordination centrale. Ces plates-formes supposent cependant que tous les utilisateurs d'un système éditent le même jeu de document, ce qui est peu vraisemblable. Pour ouvrir la voie à des systèmes plus flexibles, nous présentons, Filament, un protocole décentralisé de construction de cohorte adapté aux besoins des grands éditeurs collaboratifs. Filament élimine la nécessité de toute table de hachage distribuée (DHT) intermédiaire et permet aux utilisateurs travaillant sur le même document de se retrouver d'une manière rapide, efficace et robuste en générant un champ de routage adaptatif autour d'eux-mêmes. L'architecture de Filament repose sur un ensemble de réseaux logiques auto-organisées qui exploitent les similarités entre jeux de documents édités par les utilisateurs. Le protocole résultant est efficace, évolutif et fournit des propriétés bénéfiques d'équilibrage de charge sur les pairs impliqués
In this thesis, we address two issues in the area of decentralized distributed systems: network-aware overlays and collaborative editing. Even though network overlays have been extensively studied, most solutions either ignores the underlying physical network topology, or uses mechanisms that are specific to a given platform or applications. This is problematic, as the performance of an overlay network strongly depends on the way its logical topology exploits the underlying physical network. To address this problem, we propose Fluidify, a decentralized mechanism for deploying an overlay network on top of a physical infrastructure while maximizing network locality. Fluidify uses a dual strategy that exploits both the logical links of an overlay and the physical topology of its underlying network to progressively align one with the other. The resulting protocol is generic, efficient, scalable and can substantially improve network overheads and latency in overlay based systems. The second issue that we address focuses on collaborative editing platforms. Distributed collaborative editors allow several remote users to contribute concurrently to the same document. Only a limited number of concurrent users can be supported by the currently deployed editors. A number of peer-to-peer solutions have therefore been proposed to remove this limitation and allow a large number of users to work collaboratively. These decentralized solution assume however that all users are editing the same set of documents, which is unlikely to be the case. To open the path towards more flexible decentralized collaborative editors, we present Filament, a decentralized cohort-construction protocol adapted to the needs of large-scale collaborative editors. Filament eliminates the need for any intermediate DHT, and allows nodes editing the same document to find each other in a rapid, efficient and robust manner by generating an adaptive routing field around themselves. Filament's architecture hinges around a set of collaborating self-organizing overlays that utilizes the semantic relations between peers. The resulting protocol is efficient, scalable and provides beneficial load-balancing properties over the involved peers
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Tay, Chee Bin, and Whye Kee Mui. "An architecture for network centric operations in unconventional crisis: lessons learnt from Singapore's SARS experience." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1303.

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Approved for public release, distribution is unlimited
Singapore and many parts of Asia were hit with Severe Acute Respiratory Syndrome (SARS) in March 2003. The spread of SARS lead to a rapidly deteriorating and chaotic situation. Because SARS was a new infection, there was no prior knowledge that could be referenced to tackle such a complex, unknown and rapidly changing problem. Fortunately, through sound measures coupled with good leadership, quick action and inter-agency cooperation, the situation was quickly brought under control. This thesis uses the SARS incident as a case study to identify a set of network centric warfare methodologies and technologies that can be leveraged to facilitate the understanding and management of complex and rapidly changing situations. The same set of methodologies and technologies can also be selectively reused and extended to handle other situations in asymmetric and unconventional warfare.
Office of Force Transformation, DoD US Future Systems Directorate, MINDEF Singapore.
Lieutenant, Republic of Singapore Army
Civilian, Defence Science and Technology Agency, Singapore
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Zhu, Haiyi. "Essays on Achieving Success in Peer Production: Contributor Management, Best Practice Transfer and Inter- Community Relationships." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/600.

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Since the late twentieth century, open source software projects (e.g., the GNU/Linux operating system, the Apache web server, Perl and many others) have achieved phenomenal success. This success can be attributed to a new paradigm of productivity in which individuals voluntarily collaborate to produce knowledge, goods and services. Benkler claims this productivity paradigm is a “new, third mode of production” particularly suited for “the digitally networked environment” (2002). In addition to its application to open source software projects, the peer production model, in different forms, has been used in areas such as science/citizen science (Silvertown, 2009), library science (Weinberger, 2007), politics (Castells, 2007; Jenkins, 2006), education (Daniel, 2012), journalism (Gillmor, 2004), and culture (Jenkins, 2006; Lessig, 2004). As peer production has flourished, merely describing successful cases has become less useful. Instead, scholars must identify the dynamics, structures, and conditions that contribute to or impede that success. In this dissertation, I focus on three management challenges at three distinct levels that impede the success of peer production. At the individual level, one significant question is how to best organize individual contributors with differing goals, experience, and commitment to achieve a collective outcome. At the practice level, peer production communities, like corporations, must often transfer best practices from one unit to another to improve performance. This transfer process poses the challenge of how to adapt and modify an original practice to make it effective in the new context. At the community level, peer production communities must learn to survive and succeed in a large ecosystem of related communities. This dissertation combines theoretical approaches in organization science with in-depth empirical analysis on a range of peer production communities to examine the mechanisms that help the communities overcome these three management challenges and succeed in peer production. The contributions of my dissertation are twofold. For scholars and researchers, my dissertation advances the theoretical understanding of the underlying mechanisms of successful peer production systems. For practitioners, my dissertation offers practical advice to build more effective peer production projects and platforms.
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Gears, Deborah A. "Wiki Behavior in the Workplace: Emotional Aspects of Content Development." NSUWorks, 2011. http://nsuworks.nova.edu/gscis_etd/161.

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Wikis have been found to be an easy-to-use, low-cost, and Internet-based technology useful in creating and mobilizing knowledge. Wikis hosted within firms (corporate wikis) have become a popular way for employees to share information and collaborate. Preliminary research suggested that as few as 6% of wiki consumers contributed to the development of wiki pages. Conventional approaches argued that employees judged the costs of participating in wikis (e.g., authoring or changing material, reading messages, following an argument, and posting responses) to exceed the benefits of participating in wikis (e.g., recognition, reputation etc.) - thus many people "lurked" but did not post. Considering that people contemplated perceived benefits with costs of participating in wikis, research emphasized the cognitive aspects of decision-making. The emotional aspects of wiki participation in firms have received little research attention. Yet, research in other fields such as law, economics, and health showed that emotions played a critical role in human decision making, where feelings were shown to outweigh contemplated costs and benefits. For example, Kiviniemi, Voss-Humke, and Siefert (2007) found that positive feelings about exercise resulted in more physical activity whereas positive feelings about food resulted in unhealthy food choices. For Wikipedia, a public wiki, studies suggested that emotion might be an important motivator in participation. The purpose of this research was to study the role of emotion in corporate wiki participation. Since the area of research is new, the contextual details of wikis in an organizational setting made it difficult for a researcher to separate the context from the main effects. A grounded theory approach was needed. Under grounded theory, one starts with the data and builds arguments or theories from the "ground up." This study used a grounded theory methodology to reveal data through interviews, employee journals, observations, wiki statistics, and other documentation. Data were analyzed on a continuum using grounded theory coding to identify codes, categories, concepts, and properties and to recognize relationships among concepts. An exploration of emotion in an organizational context resulted in theories that provided an important beginning to understanding wiki experiences and improving wiki outcomes.
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Grosso, Laura Margaret. "Computing collaboration : a study of the potential of model building to facilitate urban water supply planning in selected cities of Zimbabwe, Estonia, and Sweden /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/10804.

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Hamadache, Kahina. "Collaboration intelligente et transparente. Apports de l'informatique ubiquitaire au travail collaboratif assisté par ordinateur." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2011. http://tel.archives-ouvertes.fr/tel-00841484.

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Ces travaux de thèse apportent une contribution aux domaines de l'informatique pervasive et du travail collaboratif assisté par ordinateur. Nous explorons ces domaines par une présentation étendue de différents travaux se rapportant aux modèles de collaboration, aux différentes conceptions ainsi qu'aux méthodes d'évaluation. Notre principale contribution pour ces domaines est le modèle PCSCW, qui propose une approche original pour l'intégration de l'aspect pervasif au sein de la collaboration. En se basant sur un modèle ontologique représentant le contexte des utilisateurs ainsi que sur un ensemble de règles de collaborations entres machines, notre travail permet aux dispositifs intelligents d'analyser et de trouver la meilleure façon de se comporter et de collaborer avec les autres machines de l'environnement afin de canaliser et de faciliter de manière transparente et efficace la collaboration entres les humains. Nous proposons également une méthodologie permettant aux développeurs de systèmes collaboratifs pervasifs de construire leurs propres stratégies d'évaluations.
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Chen, Hsinchun, Jay F. Nunamaker, Richard E. Orwig, and Olga Titkova. "Information Visualization for Collaborative Computing." IEEE, 1998. http://hdl.handle.net/10150/105495.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
A prototype tool classifies output from an electronic meeting system into a manageable list of concepts, topics, or issues that a group can further evaluate. In an experiment with output from GroupSystems electronic meeting system, the tool's recall ability was comparable to that of a human facilitator, but took roughly a sixth of the time.
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Books on the topic "Collaborative and social computing"

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Hernández-Leo, Davinia, Reiko Hishiyama, Gustavo Zurita, Benjamin Weyers, Alexander Nolte, and Hiroaki Ogata, eds. Collaboration Technologies and Social Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85071-5.

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Yoshino, Takashi, Takaya Yuizono, Gustavo Zurita, and Julita Vassileva, eds. Collaboration Technologies and Social Computing. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63088-5.

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Egi, Hironori, Takaya Yuizono, Nelson Baloian, Takashi Yoshino, Satoshi Ichimura, and Armanda Rodrigues, eds. Collaboration Technologies and Social Computing. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98743-9.

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Nolte, Alexander, Claudio Alvarez, Reiko Hishiyama, Irene-Angelica Chounta, María Jesús Rodríguez-Triana, and Tomoo Inoue, eds. Collaboration Technologies and Social Computing. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58157-2.

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Nakanishi, Hideyuki, Hironori Egi, Irene-Angelica Chounta, Hideyuki Takada, Satoshi Ichimura, and Ulrich Hoppe, eds. Collaboration Technologies and Social Computing. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28011-6.

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Yoshino, Takashi, Gwo-Dong Chen, Gustavo Zurita, Takaya Yuizono, Tomoo Inoue, and Nelson Baloian, eds. Collaboration Technologies and Social Computing. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2618-8.

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Yuizono, Takaya, Gustavo Zurita, Nelson Baloian, Tomoo Inoue, and Hiroaki Ogata, eds. Collaboration Technologies and Social Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44651-5.

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Wong, Lung-Hsiang, Yugo Hayashi, Cesar A. Collazos, Claudio Alvarez, Gustavo Zurita, and Nelson Baloian, eds. Collaboration Technologies and Social Computing. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20218-6.

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Takada, Hideyuki, D. Moritz Marutschke, Claudio Alvarez, Tomoo Inoue, Yugo Hayashi, and Davinia Hernandez-Leo, eds. Collaboration Technologies and Social Computing. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42141-9.

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Toru, Ishida, ed. Community computing: Collaboration over global information networks. Chichester: J. Wiley, 1998.

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Book chapters on the topic "Collaborative and social computing"

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Sachdeva, Niharika, and Ponnurangam Kumaraguru. "Social Media - New Face of Collaborative Policing?" In Social Computing and Social Media, 221–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39910-2_21.

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Ren, Jianji, Haichao Wang, and Xiaohong Zhang. "Adaptive Collaborative Computing in Edge Computing Environment." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 160–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63941-9_12.

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Ma, Xuefeng, Bo Li, and Qi An. "A Network-Based Approach for Collaborative Filtering Recommendation." In Behavior and Social Computing, 119–28. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-04048-6_11.

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Delgado, Vanessa Agredo, Cesar A. Collazos, Habib M. Fardoun, and Nehme Safa. "Collaboration Increase Through Monitoring and Evaluation Mechanisms of the Collaborative Learning Process." In Social Computing and Social Media. Applications and Analytics, 20–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58562-8_2.

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Kadenbach, Daniel, and Carsten Kleiner. "Evaluation of Collaborative Development Environments for Software Engineering Courses in Higher Education." In Social Computing and Social Media, 365–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39910-2_34.

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Thiel, Sarah-Kristin, Jeanette Falk Olesen, Kim Halskov, and Ida Larsen-Ledet. "Group Dynamics in Gameful Collaborative Innovation Processes." In Collaboration Technologies and Social Computing, 222–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28011-6_16.

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Su, Addison Y. S., Chester S. J. Huang, T. J. Ding, Angus F. M. Huang, Stephen J. H. Yang, and Y. Z. Hsieh. "Collaborative Search Research in College Computer Courses." In Collaboration Technologies and Social Computing, 143–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44651-5_13.

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Hofmann, Cristian, Nina Hollender, and Dieter W. Fellner. "Workflow-Based Architecture for Collaborative Video Annotation." In Online Communities and Social Computing, 33–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02774-1_4.

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Neumann, Alexander Tobias, Simon Breuer, and Ralf Klamma. "Collaborative Community Knowledge Building with Personalized Question Recommendations." In Collaboration Technologies and Social Computing, 190–204. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20218-6_13.

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Kubica, Tommy, Iris Braun, and Alexander Schill. "Towards Implementing Collaborative Learning in Remote Teaching Scenarios." In Collaboration Technologies and Social Computing, 245–60. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20218-6_17.

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Conference papers on the topic "Collaborative and social computing"

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Munoz, Paula, Alejandro Perez-Vereda, Nathalie Moreno, Javier Troya, and Antonio Vallecillo. "Incorporating Trust into Collaborative Social Computing Applications." In 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2021. http://dx.doi.org/10.1109/edoc52215.2021.00020.

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Shneiderman, Ben. "Understanding social computing participation with visual exploration tools." In 2009 International Symposium on Collaborative Technologies and Systems. IEEE, 2009. http://dx.doi.org/10.1109/cts.2009.5067426.

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Kellogg, W. A. "Research and emerging trends in social computing." In Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005. IEEE, 2005. http://dx.doi.org/10.1109/iscst.2005.1553274.

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Vasilchenko, Anna, Ghaith Tarawneh, Haneen Qarabash, and Madeline Balaam. "Collaborative Content Creation." In CSCW '18: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3272973.3274092.

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Isaacman, Sibren, Stratis Ioannidis, Augustin Chaintreau, and Margaret Martonosi. "Distributed collaborative filtering over social networks." In 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2011. http://dx.doi.org/10.1109/allerton.2011.6120295.

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Shin, Dongwook, Jinbeom Kang, Joongmin Choi, and Jaeyoung Yang. "Detecting Collaborative Fields Using Social Networks." In 2008 Fourth International Conference on Networked Computing and Advanced Information Management (NCM). IEEE, 2008. http://dx.doi.org/10.1109/ncm.2008.80.

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Wu, Wenjun, Hui Zhang, and ZhenAn Li. "Open Social Based Collaborative Science Gateways." In 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE, 2011. http://dx.doi.org/10.1109/ccgrid.2011.43.

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Malandrino, Delfina, Ilaria Manno, Alberto Negro, Andrea Petta, Vittiorio Scarano, and Luigi Serra. "Social Team Awareness." In 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing. ICST, 2013. http://dx.doi.org/10.4108/icst.collaboratecom.2013.254087.

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Alharthi, Sultan A., Katta Spiel, William A. Hamilton, Elizabeth Bonsignore, and Zachary O. Toups. "Collaborative Mixed Reality Games." In CSCW '18: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3272973.3273013.

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Pe-Than, Ei Pa Pa, Laura Dabbish, and James D. Herbsleb. "Collaborative Writing on GitHub." In CSCW '18: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3272973.3274083.

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Reports on the topic "Collaborative and social computing"

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Chang, Michael Alan, Alejandra Magana, Bedrich Benes, Dominic Kao, and Judith Fusco. Driving Interdisciplinary Collaboration through Adapted Conjecture Mapping: A Case Study with the PECAS Mediator. Digital Promise, May 2022. http://dx.doi.org/10.51388/20.500.12265/156.

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Abstract:
In this report, we demonstrate how an interdisciplinary team of computer science and learning sciences researchers utilize an adapted conjecture mapping tool during a collaborative problem-solving session. The session is documented through an edited “Dialogue” format, which captures the process of conjecture map construction and subsequent reflection. We find that creating the conjecture map collaboratively surfaces a key tension: while learning sciences theory often highlights the nuanced and complex relational nature of learning, even the most cutting-edge computing techniques struggle to discern these nuances. Articulating this tension proved to be highly generative, enabling the researchers to discuss how considering impacted community members as a critical “part of the solution” may lead to a socio-technical tool which supports desired learning outcomes, despite limitations in learning theory and technical capability. Ultimately, the process of developing the conjecture map directed researchers towards a precise discussion about how they would need to engage impacted community members (e.g., teachers) in a co-design process.
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Perich, Filip, Anupam Joshi, Yelena Yesha, and Tim Finin. Collaborative Joins in a Pervasive Computing Environment. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada440602.

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Dommel, H.-Peter, and J. J. Garcia-Luna-Aceves. Networking Foundations for Collaborative Computing at Internet Scope. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada457900.

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Tang, Jiliang. Computing Distrust in Social Media. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ad1007379.

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Liu, Huan. Assessing Trustworthiness in Social Media: A Social Computing Approach. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ad1007384.

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Ille, Marjorie. Social problems and collaborative planning: toward a theory and model of social planning. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1685.

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Flechas, Maria, Garhan Attebury, Kenneth Bloom, Brian Bockelman, Lindsey Gray, Burt Holzman, Carl Lundstedt, Oksana Shadura, Nicholas Smith, and John Thiltges. Collaborative Computing Support for Analysis Facilities Exploiting Software as Infrastructure Techniques. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1863015.

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Mu, Ruihui. Integrating Rating Information and Social Information for Collaborative Filtering Recommendation. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, May 2019. http://dx.doi.org/10.7546/crabs.2019.05.03.

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Weber, Arnd, ed. Potential and Impacts of Cloud Computing Services and Social Network Websites (STOA Cloud Computing - Study). Vienna: self, 2014. http://dx.doi.org/10.1553/ita-pb-a65-6.

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Weber, Arnd, ed. Cloud Computing - European Perspectives on impacts and potentials of Cloud Computing and Social Network Sites (STOA Cloud Computing Del.1). Vienna: self, 2014. http://dx.doi.org/10.1553/ita-pb-a65-1.

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