Gotowa bibliografia na temat „Social networks”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Social networks”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Social networks"
Dunbar, Robin. "Social networks: Human social networks". New Scientist 214, nr 2859 (kwiecień 2012): iv—v. http://dx.doi.org/10.1016/s0262-4079(12)60856-2.
Pełny tekst źródłaTrevillion, S. "Social work, social networks and network knowledge". British Journal of Social Work 30, nr 4 (1.08.2000): 505–17. http://dx.doi.org/10.1093/bjsw/30.4.505.
Pełny tekst źródłaSharma, Anita, i Prashant Salwan. "Network Matters! Revisiting Social Networks". Academy of Management Proceedings 2017, nr 1 (sierpień 2017): 17317. http://dx.doi.org/10.5465/ambpp.2017.17317abstract.
Pełny tekst źródłaGemici, Kurtuluş, i Anthony Vashevko. "Visualizing Hierarchical Social Networks". Socius: Sociological Research for a Dynamic World 4 (1.01.2018): 237802311877298. http://dx.doi.org/10.1177/2378023118772982.
Pełny tekst źródłaJadhav, Pranavati, i 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, nr 12-SPECIAL ISSUE (31.12.2019): 366–71. http://dx.doi.org/10.5373/jardcs/v11sp12/20193232.
Pełny tekst źródłaZenkovich, K., T. Zhylkybayev, S. Kaysanov i T. Ustinova. "APPLYING SOCIAL MINING RESULTS FROM OPEN SOCIAL NETWORKS". Bulletin of Shakarim University. Technical Sciences 1, nr 2(14) (29.06.2024): 5–10. http://dx.doi.org/10.53360/2788-7995-2024-2(14)-1.
Pełny tekst źródłaSmith, Edward Bishop, Raina A. Brands, Matthew E. Brashears i Adam M. Kleinbaum. "Social Networks and Cognition". Annual Review of Sociology 46, nr 1 (30.07.2020): 159–74. http://dx.doi.org/10.1146/annurev-soc-121919-054736.
Pełny tekst źródłaFuentes Cancell, Dieter Reynaldo, Odiel Estrada Molina i Nilda Delgado Yanes. "Las redes sociales digitales: una valoración socioeducativa. Revisión sistemática." Revista Fuentes 1, nr 23 (2021): 41–52. http://dx.doi.org/10.12795/revistafuentes.2021.v23.i1.11947.
Pełny tekst źródłaLevin, Ilya, Mark Korenblit i Vadim Talis. "STUDY OF SOCIAL NETWORKS’ DYNAMICS BY SIMULATION WITHIN THE NODEXL-EXCEL ENVIRONMENT". Problems of Education in the 21st Century 54, nr 1 (20.06.2013): 125–37. http://dx.doi.org/10.33225/pec/13.54.125.
Pełny tekst źródłaBanham, Gary. "Social networks". Philosophers' Magazine, nr 50 (2010): 22–23. http://dx.doi.org/10.5840/tpm20105038.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaThesis 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.
Pełny tekst źródłaFarry, Michael P. (Michael Patrick). "Sensor networks for social networks". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36764.
Pełny tekst źródłaIncludes 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.
Pełny tekst źródłaSocial 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.
Pełny tekst źródłaBecirovic, Ema. "On Social Choice in Social Networks". Thesis, Linköpings universitet, Kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138578.
Pełny tekst źródłaSocial 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.
Pełny tekst źródłaIn 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.
Pełny tekst źródłaBodriagov, Oleksandr. "Social Networks and Privacy". Licentiate thesis, KTH, Teoretisk datalogi, TCS, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166818.
Pełny tekst źródłaCentraliserade 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.
Pełny tekst źródłaCataloged 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.
Książki na temat "Social networks"
Raatma, Lucia. Social networks. Ann Arbor, Mich: Cherry Lake Pub., 2010.
Znajdź pełny tekst źródłaNguyen, Hien T., i Vaclav Snasel, red. Computational Social Networks. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42345-6.
Pełny tekst źródłaPanteli, Niki, red. Virtual Social Networks. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230250888.
Pełny tekst źródłaAbraham, Ajith, i Aboul-Ella Hassanien, red. Computational Social Networks. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4048-1.
Pełny tekst źródłaAbraham, Ajith, red. Computational Social Networks. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4051-1.
Pełny tekst źródłaAbraham, Ajith, red. Computational Social Networks. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4054-2.
Pełny tekst źródłaRossmann, Alexander, Gerald Stei i Markus Besch, red. Enterprise Social Networks. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12652-0.
Pełny tekst źródłaThai, My T., Nam P. Nguyen i Huawei Shen, red. Computational Social Networks. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21786-4.
Pełny tekst źródłaSpivet, Bonnie. Using social networks. New York, NY: PowerKids Press, 2012.
Znajdź pełny tekst źródłaDegenne, Alain. Introducing social networks. London: SAGE, 1999.
Znajdź pełny tekst źródłaCzęści książek na temat "Social networks"
Bolouki, Sadegh, Angelia Nedić i Tamer Başar. "Social Networks". W Handbook of Dynamic Game Theory, 907–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-44374-4_32.
Pełny tekst źródłaCioffi-Revilla, Claudio. "Social Networks". W Texts in Computer Science, 89–117. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5661-1_4.
Pełny tekst źródłaBreslin, John G., Alexandre Passant i Stefan Decker. "Social networks". W The Social Semantic Web, 169–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01172-6_10.
Pełny tekst źródłaSpanke, Matthias. "Social Networks". W Retail Isn't Dead, 71–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36650-6_9.
Pełny tekst źródłaBolouki, Sadegh, Angelia Nedić i Tamer Başar. "Social Networks". W 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.
Pełny tekst źródłaRöll, Franz Josef. "Social Networks". W 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.
Pełny tekst źródłaSchwagereit, Felix, i Steffen Staab. "Social Networks". W 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.
Pełny tekst źródłaRöll, Franz Josef. "Social Networks". W 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.
Pełny tekst źródłaCioffi-Revilla, Claudio. "Social Networks". W Texts in Computer Science, 141–92. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50131-4_4.
Pełny tekst źródłaSchnugg, Claudia. "Social Networks". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Social networks"
Caragiannis, Ioannis, i Evanthia Tsitsoka. "Deanonymizing Social Networks Using Structural Information". W 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.
Pełny tekst źródłaKumar, Ravi, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec i Andrew Tomkins. "Social networks". W the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1402017.
Pełny tekst źródła"Social networks". W 2013 5th Conference on Information and Knowledge Technology (IKT). IEEE, 2013. http://dx.doi.org/10.1109/ikt.2013.6620133.
Pełny tekst źródłaBecker, Laura, i Key Pousttchi. "Social networks". W the 14th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2428736.2428767.
Pełny tekst źródłaCosta, Carlos J., i Manuela Aparicio. "Social networks". W the 2013 International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2503859.2503875.
Pełny tekst źródła"Social networks". W 2016 8th International Symposium on Telecommunications (IST). IEEE, 2016. http://dx.doi.org/10.1109/istel.2016.7881878.
Pełny tekst źródłaAriza, Maurício, Antonio João Gonçalves de Azambuja, Jéferson Campos Nobre i Lisandro Zambenedetti Granville. "Automated Social Engineering Attacks using ChatBots on Professional Social Networks". W Workshop de Gerência e Operação de Redes e Serviços. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/wgrs.2023.747.
Pełny tekst źródłaPerez, Luis G., Beatriz Montes-Berges i Maria del Rosario Castillo-Mayen. "Boosting social networks in Social Network-Based Recommender System". W 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121693.
Pełny tekst źródła"Unsocial Networks - Restoring the Social in Social Networks". W 2009 42nd Hawaii International Conference on System Sciences. IEEE, 2009. http://dx.doi.org/10.1109/hicss.2009.486.
Pełny tekst źródłaAbufouda, Mohammed, i Katharina Anna Zweig. "Interactions around social networks matter: Predicting the social network from associated interaction networks". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Social networks"
Vyncke, E. IPv6 over Social Networks. RFC Editor, kwiecień 2009. http://dx.doi.org/10.17487/rfc5514.
Pełny tekst źródłaFernandez, Jasmine, Michaela Bonnett, Teri Garstka i Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, czerwiec 2024. http://dx.doi.org/10.61152/hdnz4028https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-exploring-social-care-network-structures.
Pełny tekst źródłaFernandez, Jasmine, Michaela Bonnett, Teri Garstka i Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, czerwiec 2024. http://dx.doi.org/10.61152/hdnz4028.
Pełny tekst źródłaMcCulloh, Ian, Matthew Webb, John Graham, Kathleen Carley i Daniel B. Horn. Change Detection in Social Networks. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2008. http://dx.doi.org/10.21236/ada484175.
Pełny tekst źródłaBailey, Michael, Ruiqing Cao, Theresa Kuchler i Johannes Stroebel. Social Networks and Housing Markets. Cambridge, MA: National Bureau of Economic Research, maj 2016. http://dx.doi.org/10.3386/w22258.
Pełny tekst źródłaFiglio, David, Sarah Hamersma i Jeffrey Roth. Information Shocks and Social Networks. Cambridge, MA: National Bureau of Economic Research, kwiecień 2011. http://dx.doi.org/10.3386/w16930.
Pełny tekst źródłaFogli, Alessandra, i Laura Veldkamp. Germs, Social Networks and Growth. Cambridge, MA: National Bureau of Economic Research, październik 2012. http://dx.doi.org/10.3386/w18470.
Pełny tekst źródłaMacskassy, Sofus. Evolve: Analyzing Evolving Social Networks. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2012. http://dx.doi.org/10.21236/ada564174.
Pełny tekst źródłaAcemoglu, Daron, Munther Dahleh, Ilan Lobel i Asuman Ozdaglar. Bayesian Learning in Social Networks. Cambridge, MA: National Bureau of Economic Research, maj 2008. http://dx.doi.org/10.3386/w14040.
Pełny tekst źródłaKerr, William, i Martin Mandorff. Social Networks, Ethnicity, and Entrepreneurship. Cambridge, MA: National Bureau of Economic Research, wrzesień 2015. http://dx.doi.org/10.3386/w21597.
Pełny tekst źródła