Academic literature on the topic 'Social networks'
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Journal articles on the topic "Social networks"
Dunbar, Robin. "Social networks: Human social networks." New Scientist 214, no. 2859 (April 2012): iv—v. http://dx.doi.org/10.1016/s0262-4079(12)60856-2.
Full textTrevillion, S. "Social work, social networks and network knowledge." British Journal of Social Work 30, no. 4 (August 1, 2000): 505–17. http://dx.doi.org/10.1093/bjsw/30.4.505.
Full textSharma, Anita, and Prashant Salwan. "Network Matters! Revisiting Social Networks." Academy of Management Proceedings 2017, no. 1 (August 2017): 17317. http://dx.doi.org/10.5465/ambpp.2017.17317abstract.
Full textGemici, Kurtuluş, and Anthony Vashevko. "Visualizing Hierarchical Social Networks." Socius: Sociological Research for a Dynamic World 4 (January 1, 2018): 237802311877298. http://dx.doi.org/10.1177/2378023118772982.
Full textJadhav, Pranavati, and Dr Burra Vijaya Babu. "Detection of Community within Social Networks with Diverse Features of Network Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 366–71. http://dx.doi.org/10.5373/jardcs/v11sp12/20193232.
Full textZenkovich, K., T. Zhylkybayev, S. Kaysanov, and T. Ustinova. "APPLYING SOCIAL MINING RESULTS FROM OPEN SOCIAL NETWORKS." Bulletin of Shakarim University. Technical Sciences 1, no. 2(14) (June 29, 2024): 5–10. http://dx.doi.org/10.53360/2788-7995-2024-2(14)-1.
Full textSmith, Edward Bishop, Raina A. Brands, Matthew E. Brashears, and Adam M. Kleinbaum. "Social Networks and Cognition." Annual Review of Sociology 46, no. 1 (July 30, 2020): 159–74. http://dx.doi.org/10.1146/annurev-soc-121919-054736.
Full textFuentes Cancell, Dieter Reynaldo, Odiel Estrada Molina, and Nilda Delgado Yanes. "Las redes sociales digitales: una valoración socioeducativa. Revisión sistemática." Revista Fuentes 1, no. 23 (2021): 41–52. http://dx.doi.org/10.12795/revistafuentes.2021.v23.i1.11947.
Full textLevin, Ilya, Mark Korenblit, and Vadim Talis. "STUDY OF SOCIAL NETWORKS’ DYNAMICS BY SIMULATION WITHIN THE NODEXL-EXCEL ENVIRONMENT." Problems of Education in the 21st Century 54, no. 1 (June 20, 2013): 125–37. http://dx.doi.org/10.33225/pec/13.54.125.
Full textBanham, Gary. "Social networks." Philosophers' Magazine, no. 50 (2010): 22–23. http://dx.doi.org/10.5840/tpm20105038.
Full textDissertations / Theses on the topic "Social networks"
Schuhart, Russell G. "Hacking social networks examining the viability of using computer network attack against social networks." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion.exe/07Mar%5FSchuhart.pdf.
Full textThesis Advisor(s): David Tucker. "March 2007." Includes bibliographical references (p. 55-56). Also available in print.
Tarasenko, O. M. "Social networks." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40502.
Full textFarry, Michael P. (Michael Patrick). "Sensor networks for social networks." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36764.
Full textIncludes bibliographical references (p. 51-55).
This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. The effectiveness of the software is validated by applying it to the problem of detecting face-to-face social interactions between groups of people, given data readings from sensors that record light, temperature, acceleration, sound, and proximity. This application represents a novel method for social network construction which is potentially more accurate and less intrusive than traditional methods, but also more meaningful than newer methods that analyze digitally mediated communication.
by Michael P. Farry.
M.Eng.
Araújo, Ricardo Matsumura de. "Memetic networks : problem-solving with social network models." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/25515.
Full textSocial systems are increasingly relevant to computer science in general and artificial intelligence in particular. Such interest was first sparkled by agent-based systems where the social interaction of such agents can be relevant to the outcome produced. A more recent trend comes from the general area of Social Information Processing, Social Computing and other crowdsourced systems, which are characterized by computing systems composed of people and strong social interactions between them. The set of all social interactions and actors compose a social network, which may have strong influence on how effective the system can be. In this thesis, we explore the role of network structure in social systems aiming at solving problems, focusing on numerical and combinatorial optimization. We frame problem solving as a search for valid solutions in a state space and propose a model - the Memetic Network - that is able to perform search by using the exchange of information, named memes, between actors interacting in a social network. Such model is applied to a variety of scenarios and we show that the presence of a social network greatly improves the system capacity to find good solutions. In addition, we relate specific properties of many well-known networks to the behavior displayed by the proposed algorithms, resulting in a set of general rules that may improve the performance of such social systems. Finally, we show that the proposed algorithms can be competitive with traditional heuristic search algorithms in a number of scenarios.
Trevillion, Steven. "Social work and social networks." Thesis, Brunel University, 1998. http://bura.brunel.ac.uk/handle/2438/5522.
Full textBecirovic, Ema. "On Social Choice in Social Networks." Thesis, Linköpings universitet, Kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138578.
Full textSocial choice becomes a part of everyday life when groups of people are faced with decisions to make. We often adjust our personal beliefs with the respect to our friends. We are inherently dependent on the happiness of those near us. In this thesis, we investigate an existing empathy model that is used to select a winner in a set of alternatives by using scoring winner selection methods. We show that a slight modification of the model is enough to be able to use superior winner selection methods that are based on pairwise comparisons of alternatives. We show that there is essentially no reason to use scoring winner selection methods in the models proposed as a more desirable result is achieved by using superior winner selection methods.
Vallapu, Sai Krishna. "Towards Network False Identity Detection in Online Social Networks." Thesis, Southern Illinois University at Edwardsville, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10246101.
Full textIn this research, we focus on identifying false identities in social networks. We performed a detailed study on different string matching techniques to identify user profiles with real or fake identity. In this thesis, we focus on a specific case study on sex offenders. Sex offenders are not supposed to be online on social networking sites in few states. To identify the existence of offenders in social networks, we ran experiments to compare datasets downloaded from Facebook and offender registries. To identify the most suitable string matching technique to solve this particular problem, we performed experiments on various methods and utilized the most appropriate technique, the Jaro-Winkler algorithm. The major contribution of our research is a weight based scoring function that is capable of identifying user records with full or partial data revealed in social networks. Based on our data samples created using metadata information of Facebook, we were able to identify the sex offender profiles with real identity and seventy percent of the sex offenders with partial information.
You, Bo. "Hub-Network for Distance Computation in Large Social Networks." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1412601464.
Full textBodriagov, Oleksandr. "Social Networks and Privacy." Licentiate thesis, KTH, Teoretisk datalogi, TCS, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166818.
Full textCentraliserade sociala online nätverk utgör ett hot mot användarnas integritet. Detta eftersom leverantörer av sociala nätverkstjänster har obegränsad tillgång till användarnas information. Decentraliserade sociala nätverk löser integritetsproblemet genom att eliminera leverantörer och ge användarna kontroll över deras data. Innebörden av detta är att användarna själva får bestämma vem som får tillgång till deras data. Även om det finns flera förslag och vissa framsteg i utvecklingen avseende integritetsbevarande decentraliserade sociala nätverk, har målet om säkra, effektiva, och tillgängliga sociala nätverk i en decentraliserad miljö inte uppnåtts fullt ut. Denna avhandling bidrar till forskning inom säkerhet avseende sociala nätverk med fokus på decentraliserade sociala nätverk. Avhandlingen inriktas på krypteringsbaserad åtkomstkontroll och hantering av kryptografiska nycklar (som krävs för denna åtkomstkontroll) med hjälp av användarkonton med lösenordsbaserad inloggning i decentraliserade sociala nätverk. Först undersöker denna avhandling krav på kryptering för decentraliserade sociala nätverk och föreslår utvärderingskriterier. Dessa utvärderingskriterier används sedan för bedömning av befintliga krypteringsbaserade system för åtkomstkontroll. Vår utredning visar att samtliga garanterar sekretess av själva innehållet. Integritet av information om innehållet eller åtkomstprinciper är dock inte skyddat alls, alternativt skyddade på bekostnad av systemets prestanda och flexibilitet. Vi lyfter fram potentialen i två klasser av integritetsbevarande system i DOSN sammanhang: broadcast-krypteringssystem med dolda tillgångsstrukturer och predikat krypteringssystem; vi föreslår användning av dessa system. Båda dessa klasser innehåller system som uppvisar önskvärda egenskaper och uppfyller kriterier på ett bättre sätt. För det andra analyserar avhandlingen predikat kryptering och anpassar denna till DOSN sammanhang, eftersom det är för dyrt att använda som det är. Vi föreslår en ”univariate polynomial construction” för åtkomstprinciper i predikat kryptering som drastiskt ökar systemets prestanda, men läcker någon del av åtkomstprincipen till användare med åtkomsträttigheter. Vi använder Bloom-filter för att minska dekrypteringstiden och indikera objekt som kan dekrypteras av en viss användare. Genom att göra ett experiment med nyhetsflödessammansättning visas att det anpassade systemet ger goda resultat och därmed användarupplevelse. För det tredje presenterar avhandlingen en lösning på problemet avseende hanteringen av kryptografiska nycklar för autentisering och kommunikation mellan användare i decentraliserade sociala online nätverk. Vi föreslår en lösenordsbaserad inloggningsprocedur för peer-to-peer (P2P) miljön, som gör att användaren som passerar autentisering får återvinna en uppsättning kryptografiska nycklar som krävs för applikationen. Förutom lösenordsinloggning presenterar vi också stödprotokoll för att ge relaterat funktionalitet, såsom inloggning med lagrade lösenord, lösenordsbyte, och återställning av bortglömda lösenord. Kombinationen av dessa protokoll tillåter simulera lösenordsinloggning i centraliserade system. Prestandautvärderingen visar att tiden som krävs för inloggning är inom acceptabla gränser.
QC 20150602
Ammar, Ammar (Ammar T. ). "Search using social networks." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62635.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 59-61).
In this thesis, we present an approach to the problem of personalized web search which makes use of the searcher's social network, in addition to the hyper-link based score used in most search engines. This combination of social and absolute search scores aims to improve the visibility of information that is relevant to the searcher, while maintaining any absolute measures of document importance . In our approach we adopt a flexible framework for combining information from different sources using Rank Aggregation techniques. Our search system, implemented using Java and Python, covers all the events and web pages present on MIT owned websites. We discuss the theory, design,and implementation of this system in details.
by Ammar Ammar.
M.Eng.
Books on the topic "Social networks"
Raatma, Lucia. Social networks. Ann Arbor, Mich: Cherry Lake Pub., 2010.
Find full textNguyen, Hien T., and Vaclav Snasel, eds. Computational Social Networks. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42345-6.
Full textPanteli, Niki, ed. Virtual Social Networks. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230250888.
Full textAbraham, Ajith, and Aboul-Ella Hassanien, eds. Computational Social Networks. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4048-1.
Full textAbraham, Ajith, ed. Computational Social Networks. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4051-1.
Full textAbraham, Ajith, ed. Computational Social Networks. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4054-2.
Full textRossmann, Alexander, Gerald Stei, and Markus Besch, eds. Enterprise Social Networks. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12652-0.
Full textThai, My T., Nam P. Nguyen, and Huawei Shen, eds. Computational Social Networks. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21786-4.
Full textSpivet, Bonnie. Using social networks. New York, NY: PowerKids Press, 2012.
Find full textDegenne, Alain. Introducing social networks. London: SAGE, 1999.
Find full textBook chapters on the topic "Social networks"
Bolouki, Sadegh, Angelia Nedić, and Tamer Başar. "Social Networks." In Handbook of Dynamic Game Theory, 907–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-44374-4_32.
Full textCioffi-Revilla, Claudio. "Social Networks." In Texts in Computer Science, 89–117. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5661-1_4.
Full textBreslin, John G., Alexandre Passant, and Stefan Decker. "Social networks." In The Social Semantic Web, 169–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01172-6_10.
Full textSpanke, Matthias. "Social Networks." In Retail Isn't Dead, 71–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36650-6_9.
Full textBolouki, Sadegh, Angelia Nedić, and Tamer Başar. "Social Networks." In Handbook of Dynamic Game Theory, 1–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-27335-8_32-1.
Full textRöll, Franz Josef. "Social Networks." In Handbuch Soziale Praktiken und Digitale Alltagswelten, 1–11. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-08460-8_7-1.
Full textSchwagereit, Felix, and Steffen Staab. "Social Networks." In Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1226-2.
Full textRöll, Franz Josef. "Social Networks." In Handbuch Soziale Praktiken und Digitale Alltagswelten, 117–27. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-08357-1_7.
Full textCioffi-Revilla, Claudio. "Social Networks." In Texts in Computer Science, 141–92. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50131-4_4.
Full textSchnugg, Claudia. "Social Networks." In Palgrave Studies in Business, Arts and Humanities, 73–94. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04549-4_5.
Full textConference papers on the topic "Social networks"
Caragiannis, Ioannis, and Evanthia Tsitsoka. "Deanonymizing Social Networks Using Structural Information." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/169.
Full textKumar, Ravi, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, and Andrew Tomkins. "Social networks." In the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1402017.
Full text"Social networks." In 2013 5th Conference on Information and Knowledge Technology (IKT). IEEE, 2013. http://dx.doi.org/10.1109/ikt.2013.6620133.
Full textBecker, Laura, and Key Pousttchi. "Social networks." In the 14th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2428736.2428767.
Full textCosta, Carlos J., and Manuela Aparicio. "Social networks." In the 2013 International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2503859.2503875.
Full text"Social networks." In 2016 8th International Symposium on Telecommunications (IST). IEEE, 2016. http://dx.doi.org/10.1109/istel.2016.7881878.
Full textAriza, Maurício, Antonio João Gonçalves de Azambuja, Jéferson Campos Nobre, and Lisandro Zambenedetti Granville. "Automated Social Engineering Attacks using ChatBots on Professional Social Networks." In Workshop de Gerência e Operação de Redes e Serviços. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/wgrs.2023.747.
Full textPerez, 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.
Full text"Unsocial Networks - Restoring the Social in Social Networks." In 2009 42nd Hawaii International Conference on System Sciences. IEEE, 2009. http://dx.doi.org/10.1109/hicss.2009.486.
Full textAbufouda, Mohammed, and Katharina Anna Zweig. "Interactions around social networks matter: Predicting the social network from associated interaction networks." In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2014. http://dx.doi.org/10.1109/asonam.2014.6921574.
Full textReports on the topic "Social networks"
Vyncke, E. IPv6 over Social Networks. RFC Editor, April 2009. http://dx.doi.org/10.17487/rfc5514.
Full textFernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, June 2024. http://dx.doi.org/10.61152/hdnz4028https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-exploring-social-care-network-structures.
Full textFernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, June 2024. http://dx.doi.org/10.61152/hdnz4028.
Full textMcCulloh, Ian, Matthew Webb, John Graham, Kathleen Carley, and Daniel B. Horn. Change Detection in Social Networks. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada484175.
Full textBailey, Michael, Ruiqing Cao, Theresa Kuchler, and Johannes Stroebel. Social Networks and Housing Markets. Cambridge, MA: National Bureau of Economic Research, May 2016. http://dx.doi.org/10.3386/w22258.
Full textFiglio, David, Sarah Hamersma, and Jeffrey Roth. Information Shocks and Social Networks. Cambridge, MA: National Bureau of Economic Research, April 2011. http://dx.doi.org/10.3386/w16930.
Full textFogli, Alessandra, and Laura Veldkamp. Germs, Social Networks and Growth. Cambridge, MA: National Bureau of Economic Research, October 2012. http://dx.doi.org/10.3386/w18470.
Full textMacskassy, Sofus. Evolve: Analyzing Evolving Social Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada564174.
Full textAcemoglu, Daron, Munther Dahleh, Ilan Lobel, and Asuman Ozdaglar. Bayesian Learning in Social Networks. Cambridge, MA: National Bureau of Economic Research, May 2008. http://dx.doi.org/10.3386/w14040.
Full textKerr, William, and Martin Mandorff. Social Networks, Ethnicity, and Entrepreneurship. Cambridge, MA: National Bureau of Economic Research, September 2015. http://dx.doi.org/10.3386/w21597.
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