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Analyzing social media friendship for personalization

Published: 29 October 2012 Publication History

Abstract

Since social media users have various purposes such as tightening friendship and obtaining information, it might be easier to model a user's interest and to provide personalized information if the user's purpose can be inferred. In this paper, we analyze the friendship of Twitter users and its effects on Twitter usage. According to our analysis, although the number of offline friends is smaller than that of online friends, a user more actively responds to the microblogs posted by the offline friends. We expect that our analysis is helpful to model a user's social behavior and interest.

References

[1]
J. Han, X. Xie, and W. Woo, "Context-based local hot topic detection for mobile user," in Adjunct Proceedings of the 8th International Conference on Pervasive Computing, pp. 5--8, Springer, 2010.
[2]
J. Chen, R. Nairn, and E. Chi, "Speak little and well: recommending conversations in online social streams," in Proceedings of the 2011 CHI, (New York, NY, USA), pp. 217--226, ACM, 2011.

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  • (2014)Characterizing user interest using heterogeneous mediaProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2577346(289-290)Online publication date: 7-Apr-2014

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Published In

cover image ACM Conferences
DUBMMSM '12: Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
October 2012
46 pages
ISBN:9781450317078
DOI:10.1145/2390131
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: 29 October 2012

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Author Tags

  1. friendship
  2. social media analysis
  3. twitter

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  • Research-article

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CIKM'12
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Overall Acceptance Rate 15 of 20 submissions, 75%

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  • (2014)Characterizing user interest using heterogeneous mediaProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2577346(289-290)Online publication date: 7-Apr-2014

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