Complex network analysis of tag as a social network

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)

Volumn 44, Issue 11, 2010, Pages 2194-2197

  Wu, Chao ^a   Zhou, Bo ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Scale free network; Small world network; Social network; Tag

Indexed keywords

ANALYSIS METHOD; AVERAGE PATH LENGTH; CLUSTERING COEFFICIENT; COMPLEX NETWORK ANALYSIS; COMPLEX NETWORKS; DEGREE DISTRIBUTIONS; ONLINE SOCIAL NETWORKS; SCALE FREE NETWORKS; SEMANTIC RELATEDNESS; SMALL WORLD NETWORKS; SOCIAL NETWORKS; TAG; TAG SYSTEMS; WEB RESOURCES;

SEMANTICS; SOCIAL NETWORKING (ONLINE);

ELECTRIC NETWORK ANALYSIS;

EID: 78650766357     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: 10.3785/j.issn.1008-973X.2010.11.027     Document Type: Article

References (14)

1. Chirita P, Costache S, Handschuh S, et al. P-tag: large scale automatic generation of personalized annotation tags for the Web [C]//Proceedings of the 16th International Conference on World Wide Web. Banff: ACM, 2007: 845-854.
2. Cimiano P, Handschuh S, Staab S. Towards the self-annotating Web [C]//Proceedings of the 13th International Conference on World Wide Web. New York: ACM, 2004: 462-471.
3. Bao S, Xue G, Wu X, et al. Optimizing Web search using social annotations [C]//Proceedings of the 16th International Conference on World Wide Web. Banff: ACM, 2007: 501-510.
4. Szomszor M, Cattuto C. Folksonomies: the Semantic Web, and movie recommendation [C]//Proceedings of ESWC 2007. Vienna: ESSI, 2007: 14-21.
5. Byde A, Wan H, Cayzer S. Personalized tag recommendations via tagging and content-based similarity metrics [C]//Proceedings of the International Conference on Weblogs and Social Media. Barcelona: ACM, 2006: 1.
6. Setten B, Van Vliet G, Van Huten V. On the importance of "who tagged what" [C]//In Workshop on the Social Navigation and Community based Adaptation Technologies. Heidelberg: Springer, 2006: 4018.
7. Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases [J]. ACM SIGMOD Rec, 1993, 22(2): 207-216.
8. Agrawal R, Srikant R. Fast algorithms for mining association rules in large databases [C]//Proceedings of 20th International Conference on Very Large Data Bases. Santiago de Chile: Morgan Kaufmann, 1994: 487-499.
9. Watts D, Strogatz S. Collective dynamics of small-world networks [J]. Nature, 1998, 393: 440-442.
10. Albert R, Jeong H, Barabasi A L. Diameter of the World-Wide Web [J]. Nature, 1999, 401: 130-131.
11. Arabas I, Albert R. Emergence of scaling in random networks [J]. Science, 1999, 286: 509-512.
12. Erdos P, Renyi A. On random graphs [J]. Publicationes Mathematicae Debrecen, 1959, 5: 290-297.
13. Xin L, Lei G, Yihong E Z. Tag-based social interest discovery [C]//Proceeding of the 17th International Conference on World Wide Web. Beijing: ACM, 2008: 675-684.
14. Mislove A, Marcon M, Gummadi K P. Measurement and analysis of online social networks [C]//Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement. San Diego: ACM, 2007: 29-42.