A state of the art on social network analysis and its applications on a Semantic Web

CEUR Workshop Proceedings

Volumn 405, Issue , 2008, Pages

  Erétéo, Guillaume ^a   Buffa, Michel ^b   Gandon, Fabien ^c   Grohan, Patrick ^a   Leitzelman, Mylène ^d   Sander, Peter ^b  

^a ORANGE LABS   (France)

^b UNIVERSITÉ CÔTE D'AZUR   (France)

^c INRIA   (France)

^d TELECOM PARISTECH   (France)

Author keywords

Semantic web; Social network analysis

Indexed keywords

CLASSICAL METHODS; ITS APPLICATIONS; STATE OF THE ART; WEB 2.0; WEB RESOURCES;

SEMANTIC WEB; WORLD WIDE WEB;

SOCIAL NETWORKING (ONLINE);

EID: 84885659915     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (58)

1. Adamic, L. A., Adar, E.: Friends and Neighbors on the web. Social Networks 25: 211-230 (2003)
2. Adida, B.: hGRDDL: Bridging micorformats and RDFa. J. Web Sem. 6(1): 61-69 (2008)
3. Anyanwu, M., Maduko, A., Sheth, A.: SPARQL2L: Towards Support for Subgraph Extraction Queries in RDF Databases, Proc. WWW2007. (2007)
4. Bader, D. A., Madduri, K.: Parallel algorithms for evaluating centrality in real-world networks, ICPP2006 (2006).
5. Bader, D. A., Kintali, S., Madduri, K., Mihail, M.: Approximating betweenness centrality. WAW2007 (2007)
6. Bojars, U., Breslin, J.G, Finn, A., Decker, S.: "Using the Semantic Web for linking and reusing data across Web 2.0 communities", 2008, J. Web Sem. 6: 21-28.
7. Brandes, U.: A faster algorithm for betweenness centrality. J. Math. Socio. 25(2): 163-177 (2001).
8. Brandes, U., Pich, C.: Centrality estimation in large networks. J. Bifurcation and Chaos in Applied Sciences and Engineering 17(7), 2303-2318 (2007).
9. Buffa, M.: Du Web aux wikis: une histoire des outils collaboratifs. http://interstices.info, online journal, issue of 23/05/08 (2008)
10. Burt, RS: Structural Holes. Cambridge University Press, New York (1992)
11. Burt, R.S.: Structural Holes versus Network Closure as Social Capital. Lin, N, Cook K., Burt, R.S.: Social Capital: Theory and Research. Aldine de Gruyter: 31-56 (2001)
12. Burt, R.S.: Structural Holes and Good Ideas. American J. of Sociology 100(2): 339-399 (2004)
13. Corby, C, Dieng-Kuntz, R., Faron-Zucker, C.: Querying the semantic web with the corese search engine. ECAI/PAIS2004 (2004)
14. Corby, C.: http://www-sop.inria.fr/edelweiss/software/corese/v2-4-0/ manual/next.php (2008)
15. Danon, L., Diaz-Guilera, A., Duch, J., Arenas, A. Comparing community structure identification. J. Stat. Mech. P09008 (2005).
16. Donetti, L., Munoz, M. A.: Detecting communities: a new systematic and efficient algorithm. J. Stat. Mech. P10012 (2004).
17. Evans, JA.: Electronic publishing and the narrowing of science and scholarship. Science 5887 (321). (2008)
18. Finin, T., Ding, L., Zou, L.: Social networking on the semantic web. J. Learning organization 5 (12): 418-435. (2005)
19. Freeman, L.C.: Centrality in Social Networks: I. Conceptual Clarification. Social Networks 1 (1979)
20. Freeman, L. C, Borgatti, S. P.: Centrality in valued graphs: A mesure of betweenness based on network flow. Social Networks 13: 141-154 (1991)
21. Fortunato, S., Latora, V., Marchiori, M.: Method to find community structures based on information centrality. Phy. Rev. E 70(5): 056104 (2004)
22. Geisberg, R., Sanders P., Scultes, D.: Better approximation of betweenness centrality. ALENEX08 (2008).
23. Girvan, M., Newman, M. E. J.: Community structure in social and biological networks, Proc. Natl. Acad. Sci. USA 99(12) (2002)
24. Girvan, M., Newman, M. E. J.: Finding and evaluating community structure in networks. Phys. Rev. E, 69:026113 (2004)
25. Golbeck, J., Parsia, B., Hendler, J.: Trust network on the semantic web. CIA03(2003)
26. Goldbeck, J., Rothstein, M.: Linking social Networks on the web with FOAF AAA08 (2008)
27. Gruber, T.: Ontology of folksonomy: A mash-up of apples and oranges. MTSR2005 (2005)
28. Hendler, J., Goldbeck, J.: Metcalfe's law, web 2.0 and the Semantic Web. J. Web Sem. 6(1): 14-20, 2008
29. Holme, P., Kim, B.J., Yoon, C.N., Han, S.K.: Attack vulnerability of complex networks. Phys. Rev. E 65: 056109 (2002).
30. Jin, Y., Matsuo, Y., Ishizuka, M.: Extracting a Social Network among Entities by Web mining. ESWC2007. (2007)
31. Kautz, H., Selman, B., Shah, M.: The hidden Web. AI magazine 18 (2):27-35 (1997)
32. Khare, R., Celik, T.: Microformats: a pragmatic path to the Semantic Web. WWW2006 (2006)
33. Kim, H., Yang, S., Song, S., Breslin, J. G., Kim, H.: Tag Mediated Society with SCOT Ontology. ISWC2007. (2007).
34. Kochut, K.L., Janik, M.: SPARQLeR: Extended SPARQL for Semantic Association Discovery. Proc. ESWC2007 (2007)
35. Latora, V., Marchiori, M.: A measure of centrality based on the network efficiency. N. J. Phy 9 (6): 188 (2007)
36. Limpens, F., Buffa, M., Gandon, F.: Rapprocher les ontologies et les folksonomies pour la gestion des connaissances partagées: un état de l'art. IC2008 (2008)
37. Matsuo, Y., Hamasaki, M., Takeda, H., Nishimura, T., Hasida, K., Ishizuka, M.: POLYPHONET: An advanced social network extraction system. WWW2006 (2006)
38. Moreno, J.L.: Emotions mapped by new geography. New York Times (1933)
39. Mika, P.: Social Networks and the Semantic Web. Springer (2007)
40. Milgram, S.: The Small World Problem. Psychology Today, 1(1): 61 - 67. (1967)
41. Mirbel, I.: Vers une ontologie pour les communautés de développement de logiciel libre. IC2009 (2008)
42. Newman, M. E. J.: Scientific collaboration networks. Shortests paths weighted networks, and centrality. Phys Rev E Stat Nonlin Soft Matter Phys 64: 016132 (2001)
43. Newman, M. E. J.: The structure and function of complex networks. SIAM Review 45, 167-256 (2003)
44. Newman, M. E. J.: Detecting community structure in networks. Eur. Phys. J. B 38:321-330. (2004).
45. Newman, M. E. J.: Fast algorithm for detecting community in networks. Phys. Rev. E 69, 066133 (2004)
46. Passant, A., Laublet, P.: Meaning Of A Tag: A Collaborative Approach to Bridge the Gap Between Tagging and Linked Data. LDOW2008 (2008)
47. Paolillo, J. C., Wright, E.: Social Network Analysis on the Semantic Web: Techniques and Challenges for Visualizing FOAF. Visualizing the semantic WebXml-based Internet And Information (2006).
48. Pons, P., Latapy, M.: Computing communities in large networks using random walks. ISCIS2005 (2005)
49. Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., Parisi, D.: Defining and identifying communities in networks. Proc Natl Acad Sci USA 101, 2658-2663 (2004)
50. Santos, E.E., Pan, L., Arendt, D., Pittkin, M.: An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis. IEEE2006 (2006)
51. Scott, J.: 2000 Social Network Analysis, a handbook, second edition. Sage (2000)
52. Tyler, J. R., and Wilkinson., D. M., Huberman, B. A.: Email as spectroscopy: automated discovery of community structure within organizations. Proc. C&T2003 (2003)
53. Wasserman, S., Faust, K., Iacobucci, D., Granovetter, M.: Social Network Analysis: Methods and Applications. Cambridge University Press (1994)
54. Wellman, B.: Computer Networks As Social Networks. Science 293, 2031-34 (2001)
55. Wenger, E.: Communities of Practice: Learning as a Social System Thinker. (1998)
56. Wilkinson, D. M., Huberman, B. A. A method for finding communities of related genes. Proc. Natl. Acad. Sci. (2003)
57. Wu, F., Huberman, B. A.: Finding communities in linear time: a physics approach. HP Labs (2004)
58. Zhou, H., Lipowsky, R.: Network browniam motion: A new method to measure vertex-vertex proximity and to identify communities and subcommunities. ICCS 2004 (2004).