Information dissemination in heterogeneous-intent networks

WebSci 2016 - Proceedings of the 2016 ACM Web Science Conference

Volumn , Issue , 2016, Pages 259-268

  Das, Abhimanyu ^a   Gollapudi, Sreenivas ^a   Kiciman, Emre ^b   Varol, Onur ^c  

^a GOOGLE INC   (United States)

^b MICROSOFT RESEARCH   (United States)

^c INDIANA UNIVERSITY   (United States)

Author keywords

Information dissemination; Social media; Topic modeling; User modeling

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA FLOW ANALYSIS; SOCIAL NETWORKING (ONLINE);

COMMUNICATION PRACTICES; INFORMATION CASCADES; INFORMATION DIFFUSION; LARGE-SCALE DATA ANALYSIS; MESSAGE PROPAGATION; SOCIAL MEDIA; TOPIC MODELING; USER MODELING;

INFORMATION DISSEMINATION;

EID: 84976447851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2908131.2908161     Document Type: Conference Paper

References (33)

1. E. Adar and L. A. Adamic. Tracking information epidemics in blogspace. In Proc. of international conference on Web Intelligence, pages 207-214. IEEE, 2005.
2. A. Alshamsi, F. Pianesi, B. Lepri, A. Pentland, and I. Rahwan. Beyond contagion: Reality mining reveals complex patterns of social influence. PloS one, 10(8):e0135740, 2015.
3. N. T. Bailey. The mathematical theory of infectious diseases and its applications. Charles Griffin & Company Ltd, 5a Crendon Street, High Wycombe, Bucks HP13 6LE., 1975.
4. F. M. Bass. A new product growth for model consumer durables. Management Science, 15(5), 1969.
5. D. Boyd and N. Ellison. Social network sites: Deffinition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1):210-230, 2007.
6. S. Chaiken, W. Wood, and A. H. Eagly. Principles of persuasion. 1996.
7. J. Cheng, L. Adamic, P. A. Dow, J. M. Kleinberg, and J. Leskovec. Can cascades be predicted? In Proc. of the 23rd international conference on World wide web, pages 925-936. International World Wide Web Conferences Steering Committee, 2014.
8. R. B. Cialdini. Inuence: The psychology of persuasion. 1993.
9. C. Danescu-Niculescu-Mizil, L. Lee, B. Pang, and J. Kleinberg. Echoes of power: Language effects and power differences in social interaction. In Proc. of the 21st international conference on World Wide Web, pages 699-708. ACM, 2012.
10. J. DiMicco, D. R. Millen, W. Geyer, C. Dugan, B. Brownholtz, and M. Muller. Motivations for social networking at work. In Proc. of the ACM conference on Computer supported cooperative work, pages 711-720. ACM, 2008.
11. E. Ferrara, O. Varol, C. Davis, F. Menczer, and A. Flammini. The rise of social bots. arXiv preprint arXiv:1407.5225, 2014.
12. E. Ferrara, O. Varol, F. Menczer, and A. Flammini. Traveling trends: social butteries or frequent iers? In Proceedings of the first ACM conference on Online social networks, pages 213-222. ACM, 2013.
13. S. Goel, A. Anderson, J. Hofman, and D. J. Watts. The structural virality of online diffusion. In Preprint, 2013.
14. S. Goel, D. J. Watts, and D. G. Goldstein. The structure of online diffusion networks. In Proc. of the 13th Electronic Commerce, pages 623-638. ACM, 2012.
15. J. Goldenberg, B. Libai, and E. Muller. Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing letters, 12(3):211-223, 2001.
16. B. Gonçalves, N. Perra, and A. Vespignani. Modeling users' activity on twitter networks: Validation of dunbar's number. PloS one, 6(8):e22656, 2011.
17. M. Granovetter. Threshold models of collective behavior. American journal of sociology, pages 1420-1443, 1978.
18. D. Gruhl, R. Guha, D. Liben-Nowell, and A. Tomkins. Information diffusion through blogspace. In Proc. of the 13th international conference on World Wide Web, pages 491-501. ACM, 2004.
19. A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: understanding microblogging usage and communities. In Proc. of the 9th WebKDD and 1st SNA-KDD workshop on Web mining and social network analysis, pages 56-65. ACM, 2007.
20. A. N. Joinson. Looking at, looking up or keeping up with people?: motives and use of facebook. In Proc. of the SIGCHI conference on Human Factors in Computing Systems, pages 1027-1036. ACM, 2008.
21. J. Kulshrestha, M. B. Zafar, L. E. Noboa, K. P. Gummadi, and S. Ghosh. Characterizing information diets of social media users. In Ninth International AAAI Conference on Web and Social Media, 2015.
22. H. Kwak, C. Lee, H. Park, and S. Moon. What is twitter, a social network or a news media? In Proc. of the 19th international conference on World wide web, pages 591-600. ACM, 2010.
23. C. Lampe, N. Ellison, and C. Steinfield. A face (book) in the crowd: Social searching vs. social browsing. In Proc. of the 20th anniversary conference on Computer supported cooperative work, pages 167-170. ACM, 2006.
24. J. Leskovec, L. A. Adamic, and B. A. Huberman. The dynamics of viral marketing. ACM Trans. Web, 1(1), May 2007.
25. D. Ramage, S. T. Dumais, and D. J. Liebling. Characterizing microblogs with topic models. ICWSM, 10:1-1, 2010.
26. T. C. Schelling. Micromotives and macrobehavior. WW Norton & Company, 2006.
27. B. Skyrms. Evolution of the social contract. Cambridge University Press, 2014.
28. T. Spiliotopoulos and I. Oakley. Understanding motivations for facebook use: Usage metrics, network structure, and privacy. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, pages 3287-3296. ACM, 2013.
29. V. Subrahmanian, A. Azaria, S. Durst, V. Kagan, A. Galstyan, K. Lerman, L. Zhu, E. Ferrara, A. Flammini, F. Menczer, et al. The darpa twitter bot challenge. arXiv preprint arXiv:1601.05140, 2016.
30. C. Tan, L. Lee, and B. Pang. The effect of wording on message propagation: Topic- and author-controlled natural experiments on twitter. In Proc. of the 52nd annual meeting of the Association for Computational Linguistics. ACL, 2014.
31. A. Vinciarelli, M. Pantic, H. Bourlard, and A. Pentland. Social signals, their function, and automatic analysis: a survey. In Proceedings of the 10th international conference on Multimodal interfaces, pages 61-68. ACM, 2008.
32. C. Wagner, V. Liao, P. Pirolli, L. Nelson, and M. Strohmaier. It's not in their tweets: Modeling topical expertise of twitter users. In Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom), pages 91-100. IEEE, 2012.
33. W. Wood. Attitude change: Persuasion and social influence. Annual review of psychology, 51(1):539-570, 2000.