Visit me, click me, be my friend: An analysis of evidence networks of user relationships in BibSonomy

HT'10 - Proceedings of the 21st ACM Conference on Hypertext and Hypermedia

Volumn , Issue , 2010, Pages 265-269

  Mitzlaff, Folke ^a   Benz, Dominik ^a   Stumme, Gerd ^a   Hotho, Andreas ^b  

^a UNIVERSITY OF KASSEL   (Germany)

^b UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

Community detection; Folksonomies; Social networks; User recommendation

Indexed keywords

COMMUNITY DETECTION; FOLKSONOMIES; GROUP MEMBERSHIPS; LARGE POPULATION; NETWORK-BASED; RECOMMENDATION ALGORITHMS; RUNNING SYSTEMS; SEMANTIC SIMILARITY; SHARING PLATFORMS; SHORTEST PATH; SOCIAL NETWORKING; SOCIAL NETWORKS;

GRAPH THEORY; HYPERMEDIA SYSTEMS; HYPERTEXT SYSTEMS; POPULATION DYNAMICS;

SOCIAL NETWORKING (ONLINE);

EID: 77954907401     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1810617.1810664     Document Type: Conference Paper

References (16)

1. J. A. Almendral, J. Oliveira, L. López, J. Mendes, and M. A. Sanjuán. The network of scientific collaborations within the european framework programme. Physica A: Statistical Mechanics and its Applications, 384(2):675 - 683, 2007.
2. R. Baeza-Yates and A. Tiberi. Extracting semantic relations from query logs. In Proc. of the 13th ACM SIGKDD conf., page 85. ACM, 2007.
3. A. Broder, R. Kumar, F. Maghoul, P. Raghavan, S. Rajagopalan, R. Stata, A. Tomkins, and J. Wiener. Graph structure in the web. Computer Networks, 33(1-6):309-320, 2000.
4. C. Cattuto, C. Schmitz, A. Baldassarri, V. D. P. Servedio, V. Loreto, A. Hotho, M. Grahl, and G. Stumme. Network properties of folksonomies. AI Communications Journal, 20(4):245-262, 2007.
5. A. Clauset, C. R. Shalizi, and M. E. J. Newman. Power-law distributions in empirical data, 2007.
6. R. Diestel. Graph theory. Springer, Berlin, 2006.
7. P. N. Karamolegkos, C. Z. Patrikakis, N. D. Doulamis, P. T. Vlacheas, and I. G. Nikolakopoulos. An evaluation study of clustering algorithms in the scope of user communities assessment. Computers & Mathematics with Applications, 58(8):1498-1519, 2009.
8. B. Krause, R. Jäschke, A. Hotho, and G. Stumme. Logsonomy - social information retrieval with logdata. In HT08: Proc. of the 19th ACM Conf. on Hypertext and Hypermedia, pages 157-166. ACM, 2008.
9. B. Markines, C. Cattuto, F. Menczer, D. Benz, A. Hotho, and G. Stumme. Evaluating similarity measures for emergent semantics of social tagging. In 18th Int'l WWW Conference, pages 641-641, 2009.
10. A. Mislove, M. Marcon, K. Gummadi, P. Druschel, and B. Bhattacharjee. Measurement and analysis of online social networks. In 7th ACM SIGCOMM conf. on Internet measurement, page 42. ACM, 2007.
11. M. Newman and J. Park. Why social networks are different from other types of networks. Physical Review E, 68(3):36122, 2003.
12. M. E. J. Newman. Mixing patterns in networks. Phys. Rev. E, 67(2):026126, Feb 2003.
13. M. E. J. Newman. Detecting community structure in networks. The European Physical Journal B, 38, 2004.
14. R. Schifanella, A. Barrat, C. Cattuto, B. Markines, and F. Menczer. Folks in folksonomies: social link prediction from shared metadata. In Proc. 3rd ACM Int'l Conf. on Web search and data mining, pages 271-280, New York, NY, USA, 2010. ACM.
15. S. Siersdorfer and S. Sizov. Social recommender systems for web 2.0 folksonomies. In HT09: Proc. of the 20th ACM Conf. on Hypertext and Hypermedia, pages 261-270, New York, NY, USA, 2009. ACM.
16. A. Vázquez, R. Pastor-Satorras, and A. Vespignani. Large-scale topological and dynamical properties of the Internet. Physical Review E, 65(6):66130, 2002.