Abstract
Social communities helps people to interact and engage both socially and cognitively. Direct and indirect relationships are built through these interactions with the members in the community. The members may be known, unknown, friends or relatives. With the invent of Web 2.0, Internet users were empowered with the ability to interact, share content and collaborate over the dynamic web pages. The evolution of technologies has helped the transition from offline to Online Social Communities (ONSC). Social interaction also got transformed within communities encouraging both offline and online connect. In this chapter, a comprehensive review of ONSC is done. First, the ONSC dimensions-user relationships, social interaction, common interests and virtual environments along with OSNC features-purpose, membership, rules and terms, user generated content, users-benefits and types are discussed in detail. Types of communities for ONSC are given based of three different school of thoughts. Second, the importance of ONSC management—user acquisition, user engagement and user retention, across different user participation life cycle stages—initial, growth, matured and decline, which is further mapped to user membership involvement phases, is given. Various perspectives, recommender systems and user engagement tools for ONSC are also included. A survey of ONSC structure detection techniques of disjoint and overlapping communities for both static and dynamic network structures is done. Finally, the applications of ONSCs across various domains are explained. The summary of popular ONSC available till date and supported businesses flourishing based on ONSCs are explicitly mentioned.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hillery GJ (1955) Definitions of community: areas of agreement. Rural Sociol. 20:111–122
Wellman B (2001) The persistence and transformation of community: from neighbourhood groups to social networks. Law Commission of Canada, Ottawa, p 101
Wellman B (2002) Little boxes, globalization, and networked individualism. In: Tanabe M, van den Besselaar P, Ishida T (eds) Digital cities II: computational and sociological approaches. Springer, Berlin (In press)
Wellman B, Leighton B (1979) Networks, neighborhoods and communities. Urban Aff Q 14:363–390
Fischer C (1982) To dwell among friends. University of California Press, Berkeley, CA
Wellman B (1979) The community question. Am J Sociol 84:1201–1231
Wellman B (1999) The network community. In: Wellman B (ed) Networks in the global village. Westview, Boulder, CO, pp 1–48
Wellman B (ed) (1999) Networks in the global village. Westview, Boulder, CO
Rifkin SB, Muller F, Bichmann W (1988) Primary health care: on measuring participation. Soc Sci Med 26(9):931–940
White AT (1982) Why community participation? A discussion of the arguments. Assignment Children
Manderson L, Valencia LB, Thomas B (1991) Bringing the people in: community participation and the control of tropical disease
Wellman B, Boase J, Chen W (2002) The networked nature of community: online and offline. It Soc 1(1):151–165
Putnam RD (1995) Bowling alone: America’s declining social capital. J Democr 6(1):65–78
Coleman J (1990) Foundations of social theory. Harvard UniversityPress, Cambridge, MA
Adler PS, Kwon S-W (2002) Social capital: prospects for a new concept. Acad Manag Rev 27:17–40
Mathwick C, Wiertz C, de Ruyter K (2008) Social capital production in a virtual P3 community. J Consum Res 34:832–849
McCully W, Lampe C, Sarkar C, Velasquez A, Sreevinasan A (2011) Online and offline interactions in online communities. In: Proceedings of the 7th international symposium on wikis and open collaboration. ACM, pp 39–48
Wikimania (2017) https://wikimania2017.wikimedia.org/wiki/Wikimania. Accessed on 20 Dec 2017
World of warcraft. https://worldofwarcraft.com/en-us/. Accessed on 20 Dec 2017
Carter D (2005) Living in virtual communities: an ethnography of human relationships in cyberspace. Inf Community Soc 8(2):148–167
Parks MR, Floyd K (1996) Making friends in cyberspace. J Comput‐Mediat Commun 1(4):0–0
Sessions LF (2010) How offline gatherings affect online communities: when virtual community members ‘meetup’. Inf Commun Soc 13(3):375–395
MetaFilter. https://www.metafilter.com/. Accessed on 20 Dec 2017
Oldenburg R (1989) The great good place: Café, coffee shops, community centers, beauty parlors, general stores, bars, hangouts, and how they get you through the day. Paragon House Publishers
Steinkuehler CA, Williams D (2006) Where everybody knows your (screen) name: online games as “third places”. J Comput-Mediat Commun 11(4):885–909
Rains SA (2005) Leveling the organizational playing field—virtually: a meta-analysis of experimental research assessing the impact of group support system use on member influence behaviors. Commun Res 32(2):193–234
Walther JB (2004) Language and communication technology: introduction to the special issue. J Lang Soc Psychol 23(4):384–396
Walther JB (1996) Computer-mediated communication: impersonal, interpersonal, and hyperpersonal interaction. Commun Res 23(1):3–43
Bryant SL, Forte A, Bruckman A (2005) Becoming wikipedian: transformation of participation in a collaborative online encyclopedia. In: Proceedings of the 2005 international ACM SIGGROUP conference on supporting group work. ACM, pp 1–10
Preece J (2000) Online communities: designing usability and supporting sociability. Wiley
Kim AJ (2000) Community building on the web: secret strategies for successful online communities. Addison-Wesley Longman Publishing Co., Inc
Preece J, Maloney-Krichmar D, Abras C (2003) History of emergence of online communities. In: Wellman B (ed) Encyclopedia of community. Berkshire Publishing Group, Sage (In press)
Project PIAL (2002) Getting serious online: as Americans gain experience, they use the web more at work, write e-mail with more significant content, perform more online transactions, and pursue more serious activity. Pew Internet & American Life Project. http://www.pewinternet.org/reports/poc.asp?Report=55
Boyd DM, Ellison NB (2008) Social network sites: definition, history and scholarship. J Comput-Mediat Commun 13(1):210–230
Rheingold H (1993) The virtual community. Addison-Wesley, Reading, MA
Bagozzi RP, Dholakia UM (2002) Intentional social action in virtual communities. J Interact Mark 16(Spring):2–21
Balasubramanian S, Mahajan V (2001) The economic leverage of the virtual community. Int J Electron Commer 5(3):103–138
Hagel JI, Armstrong AG (1997) Net gain: expanding markets through virtual communities. Harvard Business School Press, Boston, MA
Ridings CM, Gefen D, Arinze B (2002) Some antecedents and effects of trust in virtual communities. J Strateg Inf Syst 11:271–295
Wellman B, Hampton K (1999) Living networked on and offline. Contemp Sociol 28:648–654
Foote J, Gergle D, Shaw A (2017) Starting online communities: motivations and goals of Wiki founders. In: Proceedings of the 2017 CHI conference on human factors in computing systems. ACM, pp 6376–6380
Baxter H (2002) An introduction to online communities. Community manager of Knowledgeboard. com
Zhu H, Kraut RE, Kittur A (2014) The impact of membership overlap on the survival of online communities. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 281–290
Hagel JI, Armstrong AG (2006) Net gain-profit imNetz: Märkteerobernmitvirtuellen Communitys. Redline Wirtschaft, Sonderausgabe, Heidelberg
Chen C-J, Hung S-W (2010) To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Inf Manag 47:226–236
Dholakia U, Blazevic V, Wiertz C, Algesheimer R (2009) Communal service delivery: how customers benefit from participation in firm-hosted virtual P3 communities. J Serv Res 12(2):208–226
Arndt J (1967) Role of product-related conversations in the diffusion of a new product. J Mark Res 4:291–295
Murray K (1991) A test of services marketing theory: consumer information acquisition activities. J Mark 55:10–25
Ridings CM, Gefen D (2004) Virtual community attraction: why people hang out online. J Comput-Mediat Commun 10. http://jcmc.indiana.edu/vol10/issue1/ridings_gefen.html. Accessed 20 Dec 2017
Dholakia UM, Bagozzi RP, Pearo LK (2004) A social influence model of consumer participation in network- and small-group-based virtual communities. Int J Res Mark 21(3):241–263
Bagozzi RP (1994) Structural equation model in marketing research: basic principles. In: Bagozzi RP (ed) Principles of marketing research. Blackwell Publishers, Cambridge, MA, pp 317–385
Park N, Kee KF, Valenzuela S (2009) Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychol Behav 12:729–733
Sangwan S (2005) Virtual community success: a uses and gratifications perspective. In: Proceedings of the 38th annual Hawaii international conference on system sciences—HICSS ‘05, 193c
Wasko MML, Faraj S (2000) It is what one does: why people participate and help others in electronic communities of practice. J Strateg Inf Syst 9:155–173
Hennig-Thurau T, Gwinner KP, Walsh G, Gremler DD (2004) Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet? J Interact Mark 18:38–52
Wübben M, Wangenheim F (2008) Instant customer base analysis: managerial heuristics often ‘Get It Right’. J Market 72:82–93
Ridings CM, Gefen D, Anrize B (2006) Psychological barriers: lurker and poster motivation and behavior in online communities. Commun Assoc Inf Syst 18:329–354
Nonnecke B, Preece J (2000) Lurker demographics: counting the silent. In: CHI ‘00 Proceedings of the SIGCHI conference on human factors in computing systems, New York: ACM, pp 73–80
deValck K, van Bruggen GH, Wierenga B (2009) Virtual communities: a marketing perspective. Decis Support Syst 47:185–203
Alarcon-del-Amo M-D-C, Lorenzo-Romero C, Gomez-Borja M-A (2011) Classifying and profiling social networking site users: a latent segmentation approach. Cyberpsychol Behav Soc Netw 14(9):547–553
Armstrong A, Hagel J III (1996) The real value of on-line communities. Harv Bus Rev 74:134–141
Porter CE (2004) A typology of virtual communities: a multi-disciplinary foundation for future research. J Comput-Mediat Commun 10(1), Article 3. http://jcmc.indiana.edu/vol10/issue1/porter.html. Accessed 7 Nov 2011
Rohrmeier P (2012) Social networks and online communities–managing user acquisition, activation and retention. Doctoral dissertation, UniversitätMünchen
Borden NH (1964) The concept of the marketing mix. J Advert Res 4:2–7
Chen Y, Xie J (2008) Online consumer review: word-of-mouth as a new element of marketing communication mix. Manag Sci 54:477–491
Duncan T, Moriarty SE (1998) A communication-based marketing model for managing relationships. J Mark 62:1–13
Herr PM, Kardes FR, Kim J (1991) Effects of word-of-mouth and product attribute information on persuasion: an accessibility–diagnosticity perspective. J Consum Res 17:454–462
Ling K, Beenen G, Ludford P, Wang X, Chang K, Li X, Resnick P (2005) Using social psychology to motivate contributions to online communities. J Comput-Mediat Commun 10(4):00–00
Nov O, Naaman M, Ye C (2009) Motivational, structural and tenure factors that impact online community photo sharing. In: ICWSM
Kraut RE (2012) Evidence-based social design: mining the social sciences to build online communities. MIT Press
Gartner Inc. (2011) Gartner survey highlights consumer fatigue with social media. http://www.gartner.com/it/page.jsp?id=1766814. Accessed 20 Dec 2017
Goldenberg J, Han S, Lehmann DR, Hong JW (2009) The role of hubs in the adoption process. J Mark 73:1–13
Shankara V, Urban GL, Sultan F (2002) Online trust: a stakeholder perspective, concepts, implications, and future directions. J Strateg Inf Syst 11(3–4):325–344
Moorman C, Zaltman G, Deshpandé R (1992) Relationships between providers and users of market research: the dynamics of trust within and between organizations. J Mark Res 29:314–328
Hsu M-H, Ju TL, Yen C-H, Chang C-M (2007) Knowledge sharing behavior in virtual communities: the relationship between trust, self-efficacy, and outcome expectations. Int J Hum Comput Stud 65(2):153–169
Casalo LV, Flavian C, Guinaliu M (2008) Promoting consumer’s participation in virtual brand communities: a new paradigm in branding strategy. J Mark Commun 14(1):19–36
Masic I, Sivic S, Toromanovic S, Borojevic T, Pandza H (2012) Social networks in improvement of health care. Materia Socio-Medica 24(1):48
Liu H, Lim EP, Lauw HW, Le MT, Sun A, Srivastava J, Kim Y (2008) Predicting trusts among users of online communities: an epinions case study. In: Proceedings of the 9th ACM conference on electronic commerce. ACM, pp 310–319
Han JJ, Zheng RJ, Xu Y (2007) The effect of individual needs, trust and identification in explaining participation intentions in virtual communities. In: Proceedings of the 40th annual Hawaii international conference on system sciences (HICSS’07), 179c
Cutillo LA, Molva R, Strufe T (2009) Safebook: a privacy-preserving online social network leveraging on real-life trust. IEEE Commun Mag 47(12)
Nissenbaum H (2011) A contextual approach to privacy online. Daedalus 140(4):32–48
Dam WB (2009) School teacher suspended for Facebook gun photo. http://www.foxnews.com/story/2009/02/05/schoolteacher-suspended-for-facebook-gun-photo/
Mail D (2011) Bank worker fired for Facebook post comparing her 7-an-hour wage to Lloyds boss’s 40 0 0-an-hour salary. http://dailym.ai/fjRTlC
Dwyer C (2011) Privacy in the age of Google and Facebook. IEEE Technol Soc Mag 30(3):58–63
Narayanan A, Shi E, Rubinstein BI (2011) Link prediction by de-anonymization: how we won the kaggle social network challenge. In: The 2011 international joint conference on neural networks (IJCNN). IEEE, pp 1825–1834
GNIP. http://support.gnip.com/apis/. Accessed on 20 Dec 2017
Kayes I, Iamnitchi A (2017) Privacy and security in online social networks: a survey. Online Soc Netw Media 3:1–21
Hwang T, Pearce I, Nanis M (2012) Socialbots: voices from the fronts. Interactions 19(2):38–45
Stringhini G, Wang G, Egele M, Kruegel C, Vigna G, Zheng H, Zhao BY (2013) Follow the green: growth and dynamics in twitter follower markets. In: Proceedings of the 2013 conference on internet measurement conference. ACM, pp 163–176
Felt A, Evans D (2008) Privacy protection for social networking APIs. In: 2008 Web 2.0 security and privacy (W2SP’08)
Fiesler C, Bruckman A (2014) Copyright terms in online creative communities. In: CHI’14 extended abstracts on human factors in computing systems. ACM, pp 2551–2556
Bonneau J, Anderson J, Danezis G (2009) Prying data out of a social network. In: IEEE international conference on advances in social network analysis and mining, 2009 (ASONAM’09), pp 249–254
Nissenbaum H (2004) Privacy as contextual integrity. Wash Law Rev 79(1):119–158
Zhao Z, Resnick P, Mei Q (2015) Enquiring minds: early detection of rumors in social media from enquiry posts. In: Proceedings of the 24th international conference on world wide web. International World Wide Web Conferences Steering Committee, pp 1395–1405
Farzan R, DiMicco JM, Brownholtz B (2009) Spreading the honey: a system for maintaining an online community. In: Proceedings of the ACM 2009 international conference on supporting group work. ACM, pp 31–40
DiMicco J, Millen DR, Geyer W, Dugan C, Brownholtz B, Muller M (2008) Motivations for social networking at work. In Proceedings of the 2008 ACM conference on computer supported cooperative work. ACM, pp 711–720
Thom-Santelli J, Millen DR (2009) Learning by seeing: photo viewing in the workplace. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 2081–2090
Geyer W, Dugan C, DiMicco J, Millen DR, Brownholtz B, Muller M (2008) Use and reuse of shared lists as a social content type. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 1545–1554
Sarkar C, Wohn DY, Lampe C (2012) Predicting length of membership in online community everything2 using feedback. In: Proceedings of the ACM 2012 conference on computer supported cooperative work companion. ACM, pp 207–210
Burke M, Marlow C, Lento T (2009) Feed me: motivating newcomer contribution in social network sites. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 945–954
Churchill E, Girgensohn A, Nelson L, Lee A (2004) Blending digital and physical spaces for ubiquitous community participation. Commun ACM 47(2):38–44
Lampe C, Johnston E (2005) Follow the (slash) dot: effects of feedback on new members in an online community. In: Proceedings of the 2005 international ACM SIGGROUP conference on supporting group work. ACM, pp 11–20
Fontaine MA, Millen DR (2004) Understanding the benefits and impact of communities of practice. In: Knowledge networks: innovation through communities of practice, pp 1–13
Kayes I, Zuo X, Wang D, Chakareski J (2014) Did you blog yesterday? Retention in community blogs. In: Proceedings of the 2014 international conference on social computing. ACM, pp 1–2
Zheng S (2015) Retention in MOOCs: understanding users’ motivations, perceptions and activity trajectories. In: Proceedings of the 33rd annual ACM conference extended abstracts on human factors in computing systems. ACM, pp 247–250
Adamopoulos P (2013) What makes a great MOOC? An interdisciplinary analysis of student retention in online courses
Daniel J (2012) Making sense of MOOCs: musings in a maze of myth, paradox and possibility. J Interact Media Educ 2012(3)
Anderson A, Huttenlocher D, Kleinberg J, Leskovec J (2014) Engaging with massive online courses. In: Proceedings of the 23rd international conference on world wide web. ACM, pp 687–698
Baghaei N, Freyne J, Kimani S, Smith G, Berkovsky S, Bhandari D, Paris C (2009) SOFA: an online social network for engaging and motivating families to adopt a healthy lifestyle. In: Proceedings of the 21st annual conference of the Australian computer-human interaction special interest group: design: open 24/7. ACM, pp 269–272
Fogg BJ (2002) Persuasive technology: using computers to change what we think and do. Ubiquity 2002:5
Cheng R, Vassileva J (2005) User motivation and persuasion strategy for peer-to-peer communities. In: Proceedings of the 38th annual Hawaii international conference on system sciences, 2005 (HICSS’05). IEEE, pp 193a–193a
Lu D (2016) Engaging newcomers in hybrid communities. In: Proceedings of the 19th international conference on supporting group work. ACM, pp 491–494
Weinberg BD, Williams CB (2006) The 2004 US Presidential campaign: impact of hybrid offline and online ‘meetup’ communities. Direct Data Digit Mark Pract 8(1):46–57
Hampton KN (2007) Neighborhoods in the network society the e-Neighbors study. Inf Commun Soc 10(5):714–748
Hara N (2008) Internet use for political mobilization: voices of participants. First Monday 13(7)
Kraut RE, Resnick P, Kiesler S, Burke M, Chen Y, Kittur N, Riedl J (2012) Building successful online communities: evidence-based social design. MIT Press
Tajfel H (1974) Social identity and intergroup behaviour. Information (International Social Science Council) 13(2):65–93
Lampe C, Wash R, Velasquez A, Ozkaya E (2010) Motivations to participate in online communities. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 1927–1936
Papacharissi Z, Rubin AM (2000) Predictors of internet use. J Broadcast Electron Media 44(2):175–196
Ruggiero TE (2000) Uses and gratifications theory in the 21st century. Mass Commun Soc 3(1):3–37
Allen NJ, Meyer JP (1990) The measurement and antecedents of affective, continuance and normative commitment to the organization. J Occup Organ Psychol 63(1):1–18
Lakhani KR, Wolf RG (2005) Why hackers do what they do: understanding motivation and effort in free/open source software projects. In: Feller J, Fitzgerald B, Hissam SA, Lakhani KR (eds) Perspectives on free and open source software. MIT Press, Cambridge, MA
Wasko MM, Faraj S (2000) “It is what one does”: why people participate and help others in electronic communities of practice. J Strateg Inf Syst 9:155–173
Constant D, Sproull L, Kiesler S (1996) The kindness of strangers: the usefulness of electronic weak ties for technical advice. Organ Sci 7(2):119–135
Butler B, Sproull L, Kiesler S, Kraut R (2002) Community effort in online groups: who does the work and why. Leadership at a distance: Research in technologically supported work, pp 171–194
Ehrlich K, Muller M, Matthews T, Guy I, Ronen I (2014) What motivates members to contribute to enterprise online communities? In: Proceedings of the companion publication of the 17th ACM conference on computer supported cooperative work & social computing. ACM, pp 149–152
Wu S, Das Sarma A, Fabrikant A, Lattanzi S, Tomkins A (2013) Arrival and departure dynamics in social networks. In: Proceedings of the sixth ACM international conference on web search and data mining. ACM, pp 233–242
Zhu H, Kraut R, Kittur A (2012) Effectiveness of shared leadership in online communities. In: Proceedings of the ACM 2012 conference on computer supported cooperative work. ACM, pp 407–416
Subramani MR, Rajagopalan B (2003) Knowledge-sharing and influence in online social networks via viral marketing. Commun ACM 46(12):300–307
Yang S, Allenby GM (2003) Modeling interdependent consumer preferences. J Mark Res 40(3):282–294
He J, Chu WW (2010) A social network-based recommender system (SNRS). In: Data mining for social network data. Springer US, pp 47–74
Su Z, Tung AK, Zhang Z (2012) Supporting top-K item exchange recommendations in large online communities. In: Proceedings of the 15th international conference on extending database technology. ACM, pp 97–108
Shede. http://www.shede.com. Accessed on Dec 2017
RecSys Challenge (2018). https://recsys.acm.org/recsys18/challenge/. Accessed on Feb 2018
Carroll JM, Rosson MB (1998) Network communities, community networks. In: CHI 98 conference summary on human factors in computing systems. ACM, pp. 121–122
Girvan M, Newman ME (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821–7826
Nguyen NP, Dinh TN, Nguyen DT, Thai MT (2011) Overlapping community structures and their detection on social networks. In: 2011 IEEE third international conference on privacy, security, risk and trust (PASSAT) and 2011 IEEE third international conference on social computing (SocialCom). IEEE, pp 35–40
Nguyen NP, Dinh TN, Xuan Y, Thai MT (2011) Adaptive algorithms for detecting community structure in dynamic social networks. In: 2011 Proceedings of IEEE INFOCOM. IEEE, pp 2282–2290
Nguyen NP, Xuan Y, Thai MT (2010) A novel method for worm containment on dynamic social networks. In: Military communications conference, 2010 (MILCOM 2010). IEEE, pp 2180–2185
Nguyen NP, Dinh TN, Tokala S, Thai MT (2011) Overlapping communities in dynamic networks: their detection and mobile applications. In: Proceedings of the 17th annual international conference on mobile computing and networking. ACM, pp 85–96
Palla G, Derényi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043), 814. (Tyler JR, DM)
Tyler JR, Wilkinson DM, Huberman BA (2003) Email as spectroscopy: automated discovery of community structure within organizations. In: Communities and technologies. Springer, Dordrecht, pp 81–96
Wilkinson DM, Huberman BA (2004) A method for finding communities of related genes. Proc Natl Acad Sci 101(suppl 1):5241–5248
Newman ME, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69(2):026113
Clauset A, Newman ME, Moore C (2004) Finding community structure in very large networks. Phys Rev E 70(6):066111
Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):P10008
Radicchi F, Castellano C, Cecconi F, Loreto V, Parisi D (2004) Defining and identifying communities in networks. Proc Natl Acad Sci USA 101(9):2658–2663
Lancichinetti A, Fortunato S, Kertész J (2009) Detecting the overlapping and hierarchical community structure in complex networks. New J Phys 11(3):033015
Xie J, Kelley S, Szymanski BK (2013) Overlapping community detection in networks: the state-of-the-art and comparative study. ACM Comput Surv (CSUR) 45(4):43
Adamcsek B, Palla G, Farkas IJ, Derényi I, Vicsek T (2006) CFinder: locating cliques and overlapping modules in biological networks. Bioinformatics 22(8):1021–1023
Farkas I, Ábel D, Palla G, Vicsek T (2007) Weighted network modules. New J Phys 9(6):180
Onnela JP, Saramäki J, Kertész J, Kaski K (2005) Intensity and coherence of motifs in weighted complex networks. Phys Rev E 71(6):065103
Newman ME (2002) Assortative mixing in networks. Phys Rev Lett 89(20):208701
Shen H, Cheng X, Cai K, Hu MB (2009) Detect overlapping and hierarchical community structure in networks. Physica A 388(8):1706–1712
Kumpula JM, Kivelä M, Kaski K, Saramäki J (2008) Sequential algorithm for fast clique percolation. Phys Rev E 78(2):026109
Ahn YY, Bagrow JP, Lehmann S (2010) Link communities reveal multiscale complexity in networks. Nature 466(7307):761
Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci 105(4):1118–1123
Evans TS (2010) Clique graphs and overlapping communities. J Stat Mech Theory Exp 2010(12):P12037
Gregory S (2011) Fuzzy overlapping communities in networks. J Stat Mech Theory Exp 2011(02):P02017
Zhang S, Wang RS, Zhang XS (2007) Identification of overlapping community structure in complex networks using fuzzy c-means clustering. Physica A Stat Mech Appl 374(1):483–490
Nepusz T, Petróczi A, Négyessy L, Bazsó F (2008) Fuzzy communities and the concept of bridgeness in complex networks. Phys Rev E 77(1):016107
Wang X, Jiao L, Wu J (2009) Adjusting from disjoint to overlapping community detection of complex networks. Physica A Stat Mech Appl 388(24):5045–5056
Psorakis I, Roberts S, Ebden M, Sheldon B (2011) Overlapping community detection using bayesian non-negative matrix factorization. Phys Rev E 83(6):066114
Gregory S (2008) A fast algorithm to find overlapping communities in networks. In: Joint European conference on machine learning and knowledge discovery in databases. Springer, Berlin, Heidelberg, pp 408–423
Gregory S (2009) Finding overlapping communities using disjoint community detection algorithms. In: Complex networks. Springer, Berlin, Heidelberg, pp 47–61
Goldberg M, Kelley S, Magdon-Ismail M, Mertsalov K, Wallace A (2010) Finding overlapping communities in social networks. In: 2010 IEEE second international conference on social computing (SocialCom). IEEE, pp 104–113
Lancichinetti A, Radicchi F, Ramasco JJ, Fortunato S (2011) Finding statistically significant communities in networks. PLoS ONE 6(4):e18961
Lancichinetti A, Radicchi F, Ramasco JJ (2010) Statistical significance of communities in networks. Phys Rev E 81(4):046110
Raghavan UN, Albert R, Kumara S (2007) Near linear time algorithm to detect community structures in large-scale networks. Phys Rev E 76(3):036106
Gregory S (2010) Finding overlapping communities in networks by label propagation. New J Phys 12(10):103018
Chen D, Shang M, Lv Z, Fu Y (2010) Detecting overlapping communities of weighted networks via a local algorithm. Physica A Stat Mech Appl 389(19):4177–4187
Liu J, Zhong W, Abbass HA, Green DG (2010) Separated and overlapping community detection in complex networks using multiobjective evolutionary algorithms. In: 2010 IEEE congress on evolutionary computation (CEC). IEEE, pp 1–7
Rees BS, Gallagher KB (2013) Detecting overlapping communities in complex networks using swarm intelligence for multi-threaded label propagation. In: Complex networks. Springer, Berlin, Heidelberg, pp 111–119
Wen S, Jiang J, Xiang Y, Yu S, Zhou W, Jia W (2014) To shut them up or to clarify: restraining the spread of rumors in online social networks. IEEE Trans Parallel Distrib Syst 25(12):3306–3316
Lin YR, Chi Y, Zhu S, Sundaram H, Tseng BL (2009) Analyzing communities and their evolutions in dynamic social networks. ACM Trans Knowl Discov Data (TKDD) 3(2):8
Asur S, Parthasarathy S, Ucar D (2009) An event-based framework for characterizing the evolutionary behavior of interaction graphs. ACM Trans Knowl Discov Data (TKDD) 3(4):16
Kumar R, Novak J, Tomkins A (2010) Structure and evolution of online social networks. In Link mining: models, algorithms, and applications. Springer, New York, NY, pp 337–357
Leskovec J, Kleinberg J, Faloutsos C (2005) Graphs over time: densification laws, shrinking diameters and possible explanations. In: Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery in data mining. ACM, pp 177–187
Lin YR, Sundaram H, Chi Y, Tatemura J, Tseng BL (2007) Blog community discovery and evolution based on mutual awareness expansion. In: IEEE/WIC/ACM international conference on web intelligence. IEEE, pp. 48–56
Palla G, Barabási AL, Vicsek T (2007) Quantifying social group evolution. Nature 446(7136):664
Spiliopoulou M, Ntoutsi I, Theodoridis Y, Schult R (2006) Monic: modeling and monitoring cluster transitions. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 706–711
Prabavathi G, Sreeshanmugapriya T (2016) A review on community detection in dynamic social networks. Int J Innov Res Comput Commun Eng 4(7). https://doi.org/10.15680/ijircce.2016. 0407061
Zhang Y, Wang J, Wang Y, Zhou L (2009) Parallel community detection on large networks with propinquity dynamics. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 997–1006
Sun J, Faloutsos C, Papadimitriou S, Yu PS (2007) Graphscope: parameter-free mining of large time-evolving graphs. In Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 687–696
Hui P, Yoneki E, Chan SY, Crowcroft J (2007) Distributed community detection in delay tolerant networks. In: Proceedings of 2nd ACM/IEEE international workshop on mobility in the evolving internet architecture. ACM, p 7
Yang T, Chi Y, Zhu S, Gong Y, Jin R (2011) Detecting communities and their evolutions in dynamic social networks—a Bayesian approach. Mach Learn 82(2):157–189
Holland PW, Leinhardt S (1976) Local structure in social networks. Sociol Methodol 7:1–45
Xu KS, Kliger M, Hero III AO (2014) Adaptive evolutionary clustering. Data Min Knowl Discov 28(2):304–336
Palla G, Pollner P, Barabási AL, Vicsek T (2009) Social group dynamics in networks. In: Adaptive networks. Springer, Berlin, Heidelberg, pp 11–38
Duan D, Li Y, Jin Y, Lu Z (2009) Community mining on dynamic weighted directed graphs. In: Proceedings of the 1st ACM international workshop on complex networks meet information & knowledge management. ACM, pp 11–18
Kim MS, Han J (2009) A particle-and-density based evolutionary clustering method for dynamic networks. Proc VLDB Endow 2(1):622–633
Cazabet R, Amblard F, Hanachi C (2010) Detection of overlapping communities in dynamical social networks. In: 2010 IEEE second international conference on social computing (SocialCom). IEEE, pp 309–314
He-Li S, Jian-Bin H, Yong-Qiang T, Qin-Bao S, Huai-Liang L (2015) Detecting overlapping communities in networks via dominant label propagation. Chin Phys B 24(1):018703
Aston N, Hu W (2014) Community detection in dynamic social networks. Commun Netw 6(02):124
He K, Li Y, Soundarajan S, Hopcroft JE (2018) Hidden community detection in social networks. Inf Sci 425:92–106
Pendry LF, Salvatore J (2015) Individual and social benefits of online discussion forums. Comput Hum Behav 50:211–220
DiMaggio P, Hargittai E, Neuman WR, Robinson JP (2001) Social implications of the internet. Ann Rev Sociol 27:307–336. https://doi.org/10.1146/annurev.soc.27.1.307
Howard PEN, Rainie L, Jones S (2001) Days and nights on the internet: the impact of a diffusing technology. Am Behav Sci 45(3):383–404. https://doi.org/10.1177/0002764201045003003
McKenna KYA, Bargh JA (1998) Coming out in the age of the Internet: Identity ‘‘demarginalization’’ through virtual group participation. J Pers Soc Psychol 75(3):681–694. https://doi.org/10.1037/0022-3514.75.3.681
Isinkaye FO, Folajimi YO, Ojokoh BA (2015) Recommendation systems: principles, methods and evaluation. Egypt Inform J 16(3):261–273
Fatemi M, Tokarchuk L (2013) A community based social recommender system for individuals & groups. In: 2013 international conference on social computing (SocialCom). IEEE, pp 351–356
Sun A, Chen X (2016) Online education and its effective practice: a research review. J Inf Technol Educ 15
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Goswami, A., Kumar, A. (2019). Online Social Communities. In: Patnaik, S., Yang, XS., Tavana, M., Popentiu-Vlădicescu, F., Qiao, F. (eds) Digital Business. Lecture Notes on Data Engineering and Communications Technologies, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-93940-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-93940-7_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93939-1
Online ISBN: 978-3-319-93940-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)