Preferential behavior in online groups

ABSTRACT

Online communities in the form of message boards, listservs, and newsgroups continue to represent a considerable amount of the social activity on the Internet. Every year thousands of groups ourish while others decline into relative obscurity; likewise, millions of members join a new community every year, some of whom will come to manage or moderate the conversation while others simply sit by the sidelines and observe. These processes of group formation, growth, and dissolution are central in social science, and in an online venue they have ramifications for the design and development of community software

In this paper we explore a large corpus of thriving online communities. These groups vary widely in size, moderation and privacy, and cover an equally diverse set of subject matter. We present a broad range of descriptive statistics of these groups. Using metadata from groups, members, and individual messages, we identify users who post and are replied-to frequently by multiple group members; we classify these high-engagement users based on the longevity of their engagements. We show that users who will go on to become long-lived, highly-engaged users experience significantly better treatment than other users from the moment they join the group, well before there is an opportunity for them to develop a long-standing relationship with members of the group

We present a simple model explaining long-term heavy engagement as a combination of user-dependent and group-dependent factors. Using this model as an analytical tool, we show that properties of the user alone are sufficient to explain 95% of all memberships, but introducing a small amount of per-group information dramatically improves our ability to model users belonging to multiple groups.

REFERENCES

• 1: Wikipedia entry on egroups. http://en.wikipedia.org/w/index.php?title=Special:Cite&page=EGroups&id=109507115.
• 2: S. C. Alexander, J. L. Peterson, and A. B. Hollingshead. Help is at your keyboard: Support groups and the internet. In L. R. Frey, editor, Group Communication in Context: Study of Bona Fide Groups, 2nd ed, pages 309--334. Lawrence Erlbaum Associates, 2003.
• 3: Lars Backstrom , Dan Huttenlocher , Jon Kleinberg , Xiangyang Lan, Group formation in large social networks: membership, growth, and evolution, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, August 20-23, 2006, Philadelphia, PA, USA [doi>10.1145/1150402.1150412]
• 4: N. K. Baym. Tune in, Log on: Soaps, Fandom, and Online Community. Sage, Thousand Oaks, CA, 2000.
• 5: Gerard Beenen , Kimberly Ling , Xiaoqing Wang , Klarissa Chang , Dan Frankowski , Paul Resnick , Robert E. Kraut, Using social psychology to motivate contributions to online communities, Proceedings of the 2004 ACM conference on Computer supported cooperative work, November 06-10, 2004, Chicago, Illinois, USA [doi>10.1145/1031607.1031642]
• 6: Christian Borgs , Jennifer Chayes , Mohammad Mahdian , Amin Saberi, Exploring the community structure of newsgroups, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA [doi>10.1145/1014052.1016914]
• 7: B. Butler. When a Group is not a Group: An Empirical Examination of Metaphors for Online Social Structure. PhD thesis, Carnegie Mellon University, 1999.
• 8: Brian S. Butler, Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures, Information Systems Research, v.12 n.4, p.346-362, December 2001 [doi>10.1287/isre.12.4.346.9703]
• 9: B. David and J. C. Turner. Studies in self-categorization and minority conversion: Is being a member of the out-group an advantage? British Journal of Social Psychology, 35:179--199, 1996.
• 10: J. Donath. Identity and deception in the virtual community. In P. Kollock and M. Smith, editors, Communities in Cyberspace. Routledge, London, 1999.
• 11: D. C. Feldman. The development and enforcement of group norms. The Academy of Management Review, 9(1):47--53, 1984.
• 12: T. Finholt and L. Sproull. Electronic groups at work. Organizational Science, 1(1):41--64, 1990.
• 13: Andrew T. Fiore , Scott Lee Tiernan , Marc A. Smith, Observed behavior and perceived value of authors in usenet newsgroups: bridging the gap, Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, April 20-25, 2002, Minneapolis, Minnesota, USA [doi>10.1145/503376.503434]
• 14: Danyel Fisher , Marc Smith , Howard T. Welser, You Are Who You Talk To: Detecting Roles in Usenet Newsgroups, Proceedings of the 39th Annual Hawaii International Conference on System Sciences, p.59.2, January 04-07, 2006 [doi>10.1109/HICSS.2006.536]
• 15: L. C. Freeman. The sociological concept of "group": An empirical test of two models. American Journal of Sociology, 98(1):152--166, 1992.
• 16: C. Haythornthwaite. Strong, weak and latent ties and the impact of new media. The Information Society, 18(5):385--401, 2002.
• 17: Caroline Haythornthwaite , Barry Wellman, Work, friendship, and media use for information exchange in a networked organization, Journal of the American Society for Information Science, v.49 n.12, p.1101-1114, Oct. 1998 [doi>10.1002/(SICI)1097-4571(1998)49:12<1101::AID-ASI6>3.3.CO;2-S]
• 18: J. Horrigan. Online communities: Networks that nurture long-distance relationships and local ties. Technical report, Pew Internet and American Life Project, 2001.
• 19: B. A. Huberman and L. A. Adamic. Information dynamics in the networked world. In E. Ben-Naim, H. Frauenfelder, and Z. Toroczkai, editors, Complex Networks, Lecture Notes in Physics, pages 371--398. Springer, 2004.
• 20: Quentin Jones , Gilad Ravid , Sheizaf Rafaeli, Empirical evidence for information overload in mass interaction, CHI '01 extended abstracts on Human factors in computing systems, March 31-April 05, 2001, Seattle, Washington [doi>10.1145/634067.634174]
• 21: P. Marsden. Measuring tie strength. Social Forces, 63:482--501, 1984.
• 22: J. E. McGrath and D. A. Kravitz. Group research. Annual Review of Psychology, 33(1):195--230, 1982.
• 23: K. Y. McKenna and J. A. Bargh. Causes and consequences of social interaction on the internet. Media Psychology, pages 249--270, 1999.
• 24: Blair Nonnecke , Jenny Preece, Lurker demographics: counting the silent, Proceedings of the SIGCHI conference on Human factors in computing systems, p.73-80, April 01-06, 2000, The Hague, The Netherlands [doi>10.1145/332040.332409]
• 25: Blair Nonnecke , Jennifer Preece, Persistence and Lurkers in Discussion Lists: A Pilot Study, Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3, p.3031, January 04-07, 2000
• 26: T. Postmes, R. Spears, and M. Lea. The formation of group norms in computer-mediated communication. Human Communication Research, 26(3):341--371, 2000.
• 27: Al M. Rashid , Kimberly Ling , Regina D. Tassone , Paul Resnick , Robert Kraut , John Riedl, Motivating participation by displaying the value of contribution, Proceedings of the SIGCHI conference on Human Factors in computing systems, April 22-27, 2006, Montréal, Québec, Canada [doi>10.1145/1124772.1124915]
• 28: T. Schoberth, J. Preece, and A. Heinzl. Online communities: A longitudinal analysis of communication activities. In Proc. 36th Hawaii International Conference on System Sciences, 2003.
• 29: M. Smith. Invisible crowds in cyberspace: Mapping the social structure of the usenet. In M. A. Smith and P. Kollock, editors, Communities in Cyberspace, pages 195--219. Routledge, 1999.
• 30: Ellen Spertus , Mehran Sahami , Orkut Buyukkokten, Evaluating similarity measures: a large-scale study in the orkut social network, Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, August 21-24, 2005, Chicago, Illinois, USA [doi>10.1145/1081870.1081956]
• 31: H. Tajfel. Human Groups and Social Categories: Studies in Social Psychology. Cambridge University Press, 1978.
• 32: Steven J. J. Tedjamulia , Douglas L. Dean , David R. Olsen , Conan C. Albrecht, Motivating Content Contributions to Online Communities: Toward a More Comprehensive Theory, Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 7, p.193.2, January 03-06, 2005 [doi>10.1109/HICSS.2005.444]
• 33: Steve Whittaker , Loren Terveen , Will Hill , Lynn Cherny, The dynamics of mass interaction, Proceedings of the 1998 ACM conference on Computer supported cooperative work, p.257-264, November 14-18, 1998, Seattle, Washington, United States [doi>10.1145/289444.289500]
• 34: F. Wu, B. Huberman, L. A. Adamic, and J. R. Tyler. Information ow in social groups. Physica A, 337:327--335, 2004.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

General Terms:
Experimentation, Measurement, Theory

Keywords:
groups, large data sets, online community, social networks