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Diversity of online community activities

Authors:

Tad Hogg,

Gabor SzaboAuthors Info & Claims

HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia

Pages 227 - 228

https://doi.org/10.1145/1379092.1379138

Published: 19 June 2008 Publication History

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Abstract

Web sites where users create and rate content as well as form links display many long-tailed distributions. Using one such site, Essembly, we propose causal mechanisms to explain these behaviors. Unlike purely descriptive models, our mechanisms use only information available to each user. We find the long-tails arise from large diversity of user activity and qualities of the rated content. The models not only explain overall behavior but also allow estimating the qualities of users and content from their early history on the site.

References

[1]

L. A. N. Amaral, A. Scala, M. Barthelemy, and H. E. Stanley. Classes of small-world networks. Proc. of the Natl. Acad. Sci., 97:11149--11152, 2000.

Crossref

Google Scholar

[2]

C. Anderson. The Long Tail: Why the Future of Business is Selling Less of More. Hyperion, 2006.

Digital Library

Google Scholar

[3]

S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D.-U. Hwang. Complex networks: Structure and dynamics. Physics Reports, 424:157--308, 2006.

Crossref

Google Scholar

[4]

G. Caldarelli, A. Capocci, P. De Los Rios, and M. A. Munoz. Scale-free networks from varying vertex intrinsic fitness. Physical Review Letters, 89:258702, 2002.

Crossref

Google Scholar

[5]

T. Hogg, D. M. Wilkinson, G. Szabo, and M. Brzozowski. Multiple relationship types in online communities and social networks. In K. Lerman et al., editors, Proc. of the AAAI Symposium on Social Information Processing, pages 30--35, 2008.

Google Scholar

[6]

K. Lerman. Social information processing in social news aggregation. arxiv.org preprint cs.cy/0703087, 2007.

Digital Library

Google Scholar

[7]

M. E. J. Newman, S. H. Strogatz, and D. J. Watts. Random graphs with arbitrary degree distributions and their applications. Physical Review E, 64:026118, 2001.

Crossref

Google Scholar

[8]

M. J. Salganik, P. S. Dodds, and D. J. Watts. Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311:854--856, 2006.

Crossref

Google Scholar

[9]

A. Vázquez. Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations. Physical Review E, 67:056104, 2003.

Crossref

Google Scholar

Cited By

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Can Wang Longbing Cao Chi-Hung Chi (2015)Formalization and Verification of Group Behavior InteractionsIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2015.239986245:8(1109-1124)Online publication date: Aug-2015
https://doi.org/10.1109/TSMC.2015.2399862
Cao LJoachims TWang CGaussier ELi JOu YLuo DZafarani RLiu HXu GWu ZPasi GZhang YYang XZha HSerra ESubrahmanian V(2014)Behavior Informatics: A New PerspectiveIEEE Intelligent Systems10.1109/MIS.2014.6029:4(62-80)Online publication date: Jul-2014
https://doi.org/10.1109/MIS.2014.60
Cao LOu YYu P(2012)Coupled Behavior Analysis with ApplicationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2011.12924:8(1378-1392)Online publication date: 1-Aug-2012
https://dl.acm.org/doi/10.1109/TKDE.2011.129
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Index Terms

Diversity of online community activities
1. Applied computing
  1. Law, social and behavioral sciences

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Published In

HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia

June 2008

268 pages

ISBN:9781595939852

DOI:10.1145/1379092

General Chair:
Peter Brusilovsky
University of Pittsburgh, USA
,
Program Chair:
Hugh Davis
University of Southampton, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 June 2008

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HT08: 19th ACM Conference on Hypertext and Hypermedia

June 19 - 21, 2008

PA, Pittsburgh, USA

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HT '08 Paper Acceptance Rate 23 of 69 submissions, 33%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

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Can Wang Longbing Cao Chi-Hung Chi (2015)Formalization and Verification of Group Behavior InteractionsIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2015.239986245:8(1109-1124)Online publication date: Aug-2015
https://doi.org/10.1109/TSMC.2015.2399862
Cao LJoachims TWang CGaussier ELi JOu YLuo DZafarani RLiu HXu GWu ZPasi GZhang YYang XZha HSerra ESubrahmanian V(2014)Behavior Informatics: A New PerspectiveIEEE Intelligent Systems10.1109/MIS.2014.6029:4(62-80)Online publication date: Jul-2014
https://doi.org/10.1109/MIS.2014.60
Cao LOu YYu P(2012)Coupled Behavior Analysis with ApplicationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2011.12924:8(1378-1392)Online publication date: 1-Aug-2012
https://dl.acm.org/doi/10.1109/TKDE.2011.129
Hama HTin PZin TToriu T(2010)A Stochastic Model for Popularity Measures in Web DynamicsProceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing10.1109/IIHMSP.2010.171(676-679)Online publication date: 15-Oct-2010
https://dl.acm.org/doi/10.1109/IIHMSP.2010.171

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