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Статті в журналах з теми "Social network system"
Westaby, James D., and Adam K. Parr. "Network Goal Analysis of Social and Organizational Systems: Testing Dynamic Network Theory in Complex Social Networks." Journal of Applied Behavioral Science 56, no. 1 (October 24, 2019): 107–29. http://dx.doi.org/10.1177/0021886319881496.
Повний текст джерелаCadima, Rita, Carlos Ferreira, Josep Monguet, Jordi Ojeda, and Joaquin Fernandez. "Promoting social network awareness: A social network monitoring system." Computers & Education 54, no. 4 (May 2010): 1233–40. http://dx.doi.org/10.1016/j.compedu.2009.11.009.
Повний текст джерелаLetch, Nick. "Ecologies of interests in social information systems for social benefit." Information Technology & People 29, no. 1 (March 7, 2016): 14–30. http://dx.doi.org/10.1108/itp-09-2014-0218.
Повний текст джерелаGilles, Robert, Tabitha James, Reza Barkhi, and Dimitrios Diamantaras. "Simulating Social Network Formation." International Journal of Virtual Communities and Social Networking 1, no. 4 (October 2009): 1–20. http://dx.doi.org/10.4018/jvcsn.2009092201.
Повний текст джерелаLiu, Xiaozhong, Tian Xia, Yingying Yu, Chun Guo, and Yizhou Sun. "Cross Social Media Recommendation." Proceedings of the International AAAI Conference on Web and Social Media 10, no. 1 (August 4, 2021): 221–30. http://dx.doi.org/10.1609/icwsm.v10i1.14714.
Повний текст джерелаChen, Chaochao, Xiaolin Zheng, Mengying Zhu, and Litao Xiao. "Recommender System with Composite Social Trust Networks." International Journal of Web Services Research 13, no. 2 (April 2016): 56–73. http://dx.doi.org/10.4018/ijwsr.2016040104.
Повний текст джерелаSchmälzle, Ralf, Matthew Brook O’Donnell, Javier O. Garcia, Christopher N. Cascio, Joseph Bayer, Danielle S. Bassett, Jean M. Vettel, and Emily B. Falk. "Brain connectivity dynamics during social interaction reflect social network structure." Proceedings of the National Academy of Sciences 114, no. 20 (May 2, 2017): 5153–58. http://dx.doi.org/10.1073/pnas.1616130114.
Повний текст джерелаKim, Jaehyuk, and Yeunwoong Kyung. "Activity-based Friend Recommendation System (ARS) in Location-based Social Network." Webology 19, no. 1 (January 20, 2022): 4482–90. http://dx.doi.org/10.14704/web/v19i1/web19295.
Повний текст джерелаKazienko, Przemysław, Katarzyna Musial, and Tomasz Kajdanowicz. "Multidimensional Social Network in the Social Recommender System." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 41, no. 4 (July 2011): 746–59. http://dx.doi.org/10.1109/tsmca.2011.2132707.
Повний текст джерелаSperlì, Giancarlo, Flora Amato, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, and Antonio Picariello. "A Social Media Recommender System." International Journal of Multimedia Data Engineering and Management 9, no. 1 (January 2018): 36–50. http://dx.doi.org/10.4018/ijmdem.2018010103.
Повний текст джерелаДисертації з теми "Social network system"
Mannapperuma, Chanaka. "Tangible Social Network System : Visual Markers for Social Network." Thesis, Umeå University, Department of Informatics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34927.
Повний текст джерелаTangible social network system is a home-based communication solution specifically designed for elders. Former researches indicate that insufficient communication among elders cause several challenges in their daily activities such as social isolation, loneliness, depression and decreased appetite. In addition, lack of social participation increases the risk of Alzheimer´s (Ligt Enid, 1990). The major cause of these challenges are that elders are increasingly removed from communication technology using emails, text messaging, interact with social network systems and mobile phones due to cognitive and physical difficulties. To overcome this problem, new suggested social network system incorporates photo frame and photo album based interaction which allows instantaneous participation to the social network. By designing the new social network system, I tried to create an easier venue for more active cross-generational communication between elders and younger family members.This paper discusses the early results of the marker based social networking system aiming to propose digital technologies to enhance the social life of older people, who live alone their home. A prototype combining a touch screen, photo frame and a camera are described. It allows the older people to manage their participation to the social network system and get in touch with their loved ones. This paper demonstrates a User Sensitive inclusive Design (USID) process from the generation of user needs to the evaluation prototype. A key theme of tangible social network system shows how usable and emotional design derived from a user inclusive design process can encourage elders to adopt new modern technology. A first evaluation has shown the usability as well as the good acceptance of this system.
AGNES
Musial, Katarzyna. "Recommendation system for online social network." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4105.
Повний текст джерелаKulkarni, Rohan A. "Coolhunting and Coolfarming : harnessing the power of collaborative innovation networks using social network analysis." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90713.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 71-73).
Email, Instant Messaging, Voice Over IP (VOIP) and other means of online communication have become so ubiquitous today that we rarely take a moment to acknowledge how the internet has changed and redefined the ways in which we communicate and collaborate with fellow human beings. The internet has empowered us to collaborate with others in ways that were not possible till just a few years ago. As we communicate and interact with each other and form relationships, we weave intricate Social Networks that can be analyzed and exhibit communication patterns that can be quantified. In this thesis I have applied Social Network Analysis based techniques that constitute Coolhunting (Gloor & Cooper, 2007) to analyze E-Mail and WebEx communications of sales professionals of a large technology company. I have quantified communication patterns and computed metrics of social network prominence such as degree and betweenness centralities using Condor, a Social Network Analysis and Coolhunting software. Several significant correlations between the success of sales professionals and these quantified communication patterns and centrality measures were found. The communication patterns and centralities of the sales professionals exhibited several traits of Collaborative Innovation Networks or COINs (Gloor, 2006). I have assessed the implications of these communication patterns and correlations and applied the concept of Coolfarming (Gloor, 2011 a) to make recommendations to the technology company on how it could leverage the power of these COINs to their advantage. Key Terms: Collaborative Innovation Networks (COINs), Coolhunting, Coolfarming, Social Network Analysis, Condor, E-Mail, WebEx
by Rohan Kulkarni.
S.M. in Engineering and Management
Holenarasipura, Narasanna Harsha. "Graph convolutional network based friendship recommender system for a social network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290573.
Повний текст джерелаDetta examensarbete ämnar kvantifiera till vilken grad ett djupt neuralt nätverk är bättre än en icke-inlärd modell på att rekommendera potentiella nya vänner till individer på ett socialt nätverk. Ett socialt nätverk består typiskt av ett stort antal individuella användare. Det är viktigt att karaktärisera varje användare för att erbjuda dem relevant service, såsom rekommenderade vänner. Vissa användare fyller i profilinformation, medan andra inte gör det. Vissa användare har vänner i nätverket, medan anda är nya på plattformen och saknar vänner där. Ett bra rekommendationssystem skall kunna hantera båda dessa fall, vilket inkluderar att analysera både användares profilinformation och deras väncirklar. Det är utmanande för traditionella, heuristiska metoder att inkorporera båda dessa informationskällor och rekommendera väl. Djupinlärning har på senare tid uppvisat många innovationer och framsteg, bland dem konvolutionsnät på grafer (Graph Convolutional Networks, GCN) [1]. GCN-baserade modeller har visat sin styrka genom ledande resultat i flera rekommendationssystem. Ett socialt nätverk kan formuleras som en graf där noderna är användare och kanterna är anknytningarna dem emellan. Detta gör det möjligt att använda konvolutionsnät på grafer på problemet. Detta examensarbete använder också den ledande förtränade textmodellen S-BERT för att extrahera särdrag ur textdata från användarna. Examensarbetet undersöker potentialen hos GCN-baserade modeller för att rekommendera nya vänner till individuella användare. Mer specifikt utvecklar vi en GCN-modell baserad på en arkitektur kallad PinSage. Vi studerar GCN-modeller för tre olika fall. I alla tre situationerna visar resultaten att GCN-baserade modeller med marginal ger bättre resultat en icke-inlärda modeller. Våra resultat visar särskilt att en GCN-modell tränad på en enskild stad med rika användarsärdrag ger bäst resultat. Detta visar flexibiliteten hos GCN:er och överensstämmer med deras framgångar i andra rekommendationssystem. Examensarbetet demonstrerar rika användarsärdrag som inte bara kan möjliggöra vänskapsrekommendationer utan även kan rekommendera annat innehåll på plattformen.
Du, Aaron (Aaron Yinan). "Open-source social Network Assessment Survey System (NASS)." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33278.
Повний текст джерелаIncludes bibliographical references (p. 49-50).
The selection of targeted survey questions and the design of survey questionnaires are instrumental in the social networks research. With the accelerating growth of theory and experimental knowledge in the area of social network analysis, there is a need for a centralized questionnaire database system for the collection and appropriate utilization of these questions and feedbacks used for social networks research. Our project aims to provide a content-driven back-end database system and an online user interface to assist researchers to make intelligent selection of survey questions and design of questionnaires based on current area-specific knowledge within social network analysis.
by Aaron Du.
M.Eng.
Kim, Hyung Min McKeown Timothy J. "Social network conceptualizations of international system structure and national power a social network perspective on international relations /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,791.
Повний текст джерелаTitle from electronic title page (viewed Dec. 18, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Political Science." Discipline: Political Science; Department/School: Political Science.
Hamdouch, Ilias. "Collective intelligence at Enron during the California energy crisis : uncovering collaborative innovation networks using social network analysis." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106237.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 66-68).
As interaction takes place between individuals, relationships are formed and collaboration and innovation emerge. In this thesis I have applied Coolfarming (Gloor, 201 lb), a social network analysis method using Condor, a software tool to quantify communication patterns based on various data sources. I analyzed the Enron email archive to see if communication patterns of convicted employees differ from ordinary ones. Toward that goal, I compared the dynamic semantic social network metrics of 17 Enron employees convicted in the criminal trial following Enron's implosion with a control group of ordinary employees. I focused on 17 mailboxes of 24 Enron executives that were convicted. Identifying criminals based on email behaviors is possible depending on the sampling strategy. When sampling based on employees with comparable total emails, the statistical analysis of the Contribution Index (Ci) metric revealed that criminals were less active. When sampling based on employees with comparable total influence, the statistical analysis of Betweenness Centrality Oscillation (Bco) and Degree Centrality (Bc) metrics revealed that criminals were less connected to others and less creative.
by Ilias Hamdouch.
S.M. in Engineering and Management
EPIFANIA, FRANCESCO. "Social Intelligent Learning Management System for Demanding Users." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/102438.
Повний текст джерелаBell, Patrick M. "Development of Local Homeland Security Networks in the State of Florida: A Social Network Analysis Approach." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/574.
Повний текст джерелаStoll, Jennifer. "Information sharing in a nonprofit network." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45767.
Повний текст джерелаКниги з теми "Social network system"
service), SpringerLink (Online, ed. Handbook of Social Network Technologies and Applications. Boston, MA: Springer Science+Business Media, LLC, 2010.
Знайти повний текст джерелаRobertson, David C. Social determinants of information system use: A network-anayltic [sic] approach. Cambridge, Mass: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1988.
Знайти повний текст джерелаNewman, M. E. J. Networks: An introduction. Oxford: Oxford University Press, 2010.
Знайти повний текст джерелаRoberts, Thomas W. A systems perspective of parenting: The individual, the family, amd the social network. Pacific Grove, Calif: Brooks/Cole Pub. Co., 1994.
Знайти повний текст джерелаRoberts, Thomas W. A systems perspective of parenting: The individual, the family, and the social network. Pacific Grove, Ca: Brooks-Cole, 1994.
Знайти повний текст джерелаHovmand, Peter S. Community based system dynamics. New York: Springer, 2014.
Знайти повний текст джерелаA, Dyker David, ed. Network dynamics in emerging regions of Europe. New Jersey: World Scientific, 2010.
Знайти повний текст джерелаA, Dyker David, ed. Network dynamics in emerging regions of Europe. New Jersey: World Scientific, 2010.
Знайти повний текст джерелаF, Batten David, Casti J. L, and Thord Roland 1949-, eds. Networks in action: Communication, economics, and human knowledge. Berlin: Springer-Verlag, 1995.
Знайти повний текст джерелаMark, Tausig, Lindsey Michael L, and National Institute of Mental Health (U.S.). Division of Biometry and Epidemiology, eds. Network analysis methods for mental health service system research: A comparison of two community support systems. Rockville, Md: U.S. Dept. of Health and Human Services, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, National Institute of Mental Health, Division of Biometry and Epidemiology, 1985.
Знайти повний текст джерелаЧастини книг з теми "Social network system"
Baracaldo, Nathalie, Balaji Palanisamy, and James Joshi. "Geo-Social-RBAC: A Location-Based Socially Aware Access Control Framework." In Network and System Security, 501–9. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11698-3_39.
Повний текст джерелаRivas, Alberto, Pablo Chamoso, Alfonso González-Briones, Juan Pavón, and Juan M. Corchado. "Social Network Recommender System, A Neural Network Approach." In Lecture Notes in Computer Science, 213–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62365-4_21.
Повний текст джерелаVirmani, Charu, and Tanu Choudhary. "Blockchain-Based Social Network Infrastructure." In Strategic System Assurance and Business Analytics, 517–28. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3647-2_37.
Повний текст джерелаWang, Yilei, Zhe Liu, Tao Li, and Qiuliang Xu. "Rational Secure Two-party Computation in Social Cloud." In Network and System Security, 476–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11698-3_36.
Повний текст джерелаXiao, Ruliang, Youcong Ni, and Xin Du. "Architecture of Crossing Social Network System." In Lecture Notes in Electrical Engineering, 1521–29. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2169-2_180.
Повний текст джерелаSong, Insu, Denise Dillon, Tze Jui Goh, and Min Sung. "A Health Social Network Recommender System." In Lecture Notes in Computer Science, 361–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25044-6_29.
Повний текст джерелаŠkrabálek, Jaroslav, Petr Kunc, Filip Nguyen, and Tomáš Pitner. "Towards Effective Social Network System Implementation." In Advances in Intelligent Systems and Computing, 327–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32518-2_31.
Повний текст джерелаYang, Hoonji, Jiaofei Zhong, Dongsoo Ha, and Heekuck Oh. "Rumor Propagation Detection System in Social Network Services." In Computational Social Networks, 86–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42345-6_8.
Повний текст джерелаManupati, Vijaya Kumar, Goran Putnik, and Manoj Kumar Tiwari. "Resource Scalability in Networked Manufacturing System: Social Network Analysis Social network analysis Based Approach." In Handbook of Manufacturing Engineering and Technology, 3439–50. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-4670-4_116.
Повний текст джерелаKandias, Miltiadis, Konstantina Galbogini, Lilian Mitrou, and Dimitris Gritzalis. "Insiders Trapped in the Mirror Reveal Themselves in Social Media." In Network and System Security, 220–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38631-2_17.
Повний текст джерелаТези доповідей конференцій з теми "Social network system"
Perez, Luis G., Beatriz Montes-Berges, and Maria del Rosario Castillo-Mayen. "Boosting social networks in Social Network-Based Recommender System." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121693.
Повний текст джерелаStanescu, Liana, and Raluca Stanescu. "Social Medical Network." In 2022 26th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2022. http://dx.doi.org/10.1109/icstcc55426.2022.9931896.
Повний текст джерелаZe Li and Haiying Shen. "Social-P2P: Social network-based P2P file sharing system." In 2012 20th IEEE International Conference on Network Protocols (ICNP). IEEE, 2012. http://dx.doi.org/10.1109/icnp.2012.6459983.
Повний текст джерелаTang, Jiamei, and Sangwook Kim. "Theme-Based Mobile Social Network System." In 2011 IEEE 9th International Conference on Dependable, Autonomic and Secure Computing (DASC). IEEE, 2011. http://dx.doi.org/10.1109/dasc.2011.179.
Повний текст джерелаRinaldi, Luciene Cristina Alves, Briseida Dogo de Resende, Rodrigo Bossini Tavares Moreira, and Marcio Lobo Netto. "A system for social network analysis." In 2013 IEEE Third International Conference on Information Science and Technology (ICIST). IEEE, 2013. http://dx.doi.org/10.1109/icist.2013.6747524.
Повний текст джерелаBizarro, Julio, Cooper Newman, and Wonhyeok Jang. "Social Network Power System Alarm Application." In 2023 IEEE Texas Power and Energy Conference (TPEC). IEEE, 2023. http://dx.doi.org/10.1109/tpec56611.2023.10078588.
Повний текст джерелаRinaldi, Luciene Cristina Alves, Briseida Dogo de Resende, Rodrigo Bossini Tavares Moreira, and Marcio Lobo Netto. "A system for social network analysis." In 2013 8th International Conference for Internet Technology and Secured Transactions (ICITST). IEEE, 2013. http://dx.doi.org/10.1109/icitst.2013.6750175.
Повний текст джерелаLaily, Nujmatul, and Eka Sidharta. "Social Network System For Accounting Students." In Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.13-2-2019.2286576.
Повний текст джерелаNeben, Tillmann, Dennis Lips, and Aliona von der Trenck. "The Effects of Network Diversity and Social Norms on Social Structuring: Empirical Evidence from Online Social Networks." In 2015 48th Hawaii International Conference on System Sciences (HICSS). IEEE, 2015. http://dx.doi.org/10.1109/hicss.2015.99.
Повний текст джерелаOettl, Christian, Thomas Berger, Markus Böhm, Manuel Wiesche, and Helmut Krcmar. "Archetypes of Enterprise Social Network Users." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2018. http://dx.doi.org/10.24251/hicss.2018.257.
Повний текст джерелаЗвіти організацій з теми "Social network system"
Водолєєва, І. С., А. О. Лазаренко та В. М. Соловйов. Дослідження стійкості мультиплексних мереж під час кризових явищ. Видавець Вовчок О.Ю., 2017. http://dx.doi.org/10.31812/0564/1259.
Повний текст джерелаAltamirano Montoya, Álvaro, Mariano Bosch, Carolina Cabrita Felix, Rodrigo Cerda, Manuel García-Huitrón, Laura Karina Gutiérrez, and Waldo Tapia Troncoso. 2020 Pension Indicators for Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002967.
Повний текст джерелаAltamirano Montoya, Álvaro, Mariano Bosch, Carolina Cabrita Felix, Rodrigo Cerda, Manuel García-Huitrón, Laura Karina Gutiérrez, and Waldo Tapia Troncoso. 2019 Pension Indicators for Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002966.
Повний текст джерелаHamilton, Carolyn. Review and Recommendations for Strengthening Transitioning-from-State-Care Services for Youth in the Protection System. Inter-American Development Bank, July 2022. http://dx.doi.org/10.18235/0004354.
Повний текст джерелаTafere, Yisak, Asif Shahan, and Vidya Diwakar. The Role of Local Resources in Mitigating the Impact of Covid-19. Institute of Development Studies, June 2023. http://dx.doi.org/10.19088/cpan.2023.002.
Повний текст джерелаIatsyshyn, Anna V., Iryna H. Hubeladze, Valeriia O. Kovach, Valentyna V. Kovalenko, Volodymyr O. Artemchuk, Maryna S. Dvornyk, Oleksandr O. Popov, Andrii V. Iatsyshyn, and Arnold E. Kiv. Applying digital technologies for work management of young scientists' councils. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4434.
Повний текст джерелаBabu M.G., Sarath, Debjani Ghosh, Jaideep Gupte, Md Asif Raza, Eric Kasper, and Priyanka Mehra. Kerala’s Grass-roots-led Pandemic Response: Deciphering the Strength of Decentralisation. Institute of Development Studies (IDS), June 2021. http://dx.doi.org/10.19088/ids.2021.049.
Повний текст джерелаKranefeld, Robert. Beyond the grid : post-network energy provision in Rwanda. Goethe-Universität, Institut für Humangeographie, February 2020. http://dx.doi.org/10.21248/gups.53186.
Повний текст джерелаKokurina, O. Yu. VIABILITY AND RESILIENCE OF THE MODERN STATE: PATTERNS OF PUBLIC-LEGAL ADMINISTRATION AND REGULATION. Kokurina O.Yu., February 2022. http://dx.doi.org/10.12731/kokurina-21-011-31155.
Повний текст джерелаPedro Sebastiao, Sonia. A Comunicação Interna na Empresa em Rede e em Sistemas Sociais Cooperativos. Internal Communication in the Network Enterprise and in Cooperative Social Systems.-. Revista Internacional de Relaciones Públicas, May 2012. http://dx.doi.org/10.5783/rirp-3-2012-01-09-26.
Повний текст джерела