Big Social Network Mining for "Following" Patterns-Reference-Cited by-同舟云学术

Big Social Network Mining for "Following" Patterns

Published:2008 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering - C3S2E '15
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Author:

Jiang Fan,Kawagoe Kyoji,Leung Carson K.

Funder

Natural Sciences and Engineering Research Council of Canada

Japan Society for the Promotion of Science

Publisher

ACM Press

Reference21 articles.

1. P. Braun, A. Cuzzocrea, C.K. Leung, R.K. MacKinnon, and S.K. Tanbeer. A tree-based algorithm for mining diverse social entities. Procedia Computer Science, 35, pp. 223--232, 2014.

2. J. Dean and S. Ghemawat. MapReduce: simplified data processing on large clusters. Communications of the ACM, 51(1), pp. 107--113, Jan. 2008.

3. N. Dhahri, C. Trabelsi, and S.B. Yahia. RssE-Miner: a new approach for efficient events mining from social media RSS feeds. In Proc. DaWaK 2012, pp. 253--264. Springer.

4. Facebook newsroom - company info. http://newsroom.fb.com/company-info/

5. F. Jiang and C.K. Leung. A business intelligence solution for frequent pattern mining on social networks. In Proc. IEEE ICDM Workshops 2014, pp. 789--796.

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