Multi-dimensional attributes and measures for dynamical user profiling in social networking environments-Reference-Cited by-同舟云学术

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Multi-dimensional attributes and measures for dynamical user profiling in social networking environments

Published:2014-09-07 Issue:14 Volume:74 Page:5015-5028
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhou Xiaokang,Wang Wei,Jin Qun

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-014-2230-9.pdf

Reference31 articles.

1. Achananuparp, P., Lim, E.P., Jiang, J., and Hoang, T.A.: Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter Network. In: ACM Trans. Management Information Systems (TMIS), vol. 3, no. 3, article 13. (2012)

2. Agarwal, N.K.: Information Source and its Relationship with the Context of Information Seeking Behavior. In: Proc. iConference ’11 (2011 iConference). ACM, New York, pp. 48–55. (2011)

3. Allen, S.M., Colombo, G., and Whitaker, Roger.M.: Cooperation through Self-Similar Social Networks. ACM Trans. Autonomous and Adaptive Systems (TAAS), vol. 5, no. 1, article 4. (2010)

4. Asur, S., Parthasarathy, S., and Ucar, D.: An Event-Based Framework for Characterizing the Evolutionary Behavior of Interaction Graphs. In: ACM Trans. Knowledge Discovery from Data (TKDD), vol. 3, no. 4, article 16. (2009)

5. Black, A., Mascaro, C., Gallagher, M., and Goggins, S.P.: Twitter Zombie: Architecture for Capturing, Socially Transforming and Analyzing the Twittersphere. In: Proc. GROUP ’12 (17th ACM international conference on Supporting group work), ACM, New York, USA, pp. 229–238. (2012)

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