L. A. Adamic and E. Adar, Friends and neighbors on the Web, Social Networks, vol.25, issue.3, pp.211-230, 2003.
DOI : 10.1016/S0378-8733(03)00009-1

B. Adida, hGRDDL: Bridging microformats and RDFa, Web Semantics: Science, Services and Agents on the World Wide Web, vol.6, issue.1, pp.61-69, 2008.
DOI : 10.1016/j.websem.2007.11.006

M. Anyanwu, A. Maduko, and A. Sheth, SPARQL2L: Towards Support for Subgraph Extraction Queries in RDF Databases, Proc. WWW2007, 2007.

D. A. Bader and K. Madduri, Parallel Algorithms for Evaluating Centrality Indices in Real-world Networks, 2006 International Conference on Parallel Processing (ICPP'06), p.2006, 2006.
DOI : 10.1109/ICPP.2006.57

D. A. Bader, S. Kintali, K. Madduri, and M. Mihail, Approximating Betweenness Centrality, p.2007, 2007.
DOI : 10.1007/978-3-540-77004-6_10

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.4023

U. Bojars, J. G. Breslin, A. Finn, and S. Decker, Using the Semantic Web for linking and reusing data across Web 2.0 communities, Web Semantics: Science, Services and Agents on the World Wide Web, vol.6, issue.1, pp.21-28, 2008.
DOI : 10.1016/j.websem.2007.11.010

U. Brandes, A faster algorithm for betweenness centrality*, The Journal of Mathematical Sociology, vol.113, issue.2, pp.163-177, 2001.
DOI : 10.1016/S0378-8733(97)00007-5

U. Brandes and C. Pich, CENTRALITY ESTIMATION IN LARGE NETWORKS, International Journal of Bifurcation and Chaos, vol.17, issue.07, pp.2303-2318, 2007.
DOI : 10.1142/S0218127407018403

M. Buffa, Du Web aux wikis : une histoire des outils collaboratifs. http://interstices.info, online journal, issue of 23, p.8, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00475074

. Burt, RS, 1992.
DOI : 10.1007/978-3-540-35280-8_2187

R. S. Burt, N. Lin, K. Cook, and R. S. Burt, Structural Holes versus Network Closure as Social Capital Social Capital: Theory and Research, pp.31-56, 2001.

R. S. Burt, Structural Holes and Good Ideas, American Journal of Sociology, vol.110, issue.2, pp.339-399, 2004.
DOI : 10.1086/421787

C. Corby, R. Dieng-kuntz, and C. Faron-zucker, Querying the semantic web with the corese search engine, ECAI, p.2004, 2004.

C. Corby, http://www-sop.inria.fr, p.php, 2008.

L. Danon, A. Diaz-guilera, J. Duch, and A. Arenas, Comparing community structure identification, Journal of Statistical Mechanics: Theory and Experiment, vol.2005, issue.09, p.9008, 2005.
DOI : 10.1088/1742-5468/2005/09/P09008

URL : http://arxiv.org/abs/cond-mat/0505245

L. Donetti and M. A. Munoz, Detecting network communities: a new systematic and efficient algorithm, Journal of Statistical Mechanics: Theory and Experiment, vol.2004, issue.10, p.10012, 2004.
DOI : 10.1088/1742-5468/2004/10/P10012

J. A. Evans, Electronic publishing and the narrowing of science and scholarship, Science, vol.5887, issue.321, 2008.

T. Finin, L. Ding, and L. Zou, Social networking on the semantic web, The Learning Organization, vol.12, issue.5, pp.418-435, 2005.
DOI : 10.1108/09696470510611384

L. C. Freeman, Centrality in social networks conceptual clarification, Social Networks, vol.1, issue.3, 1979.
DOI : 10.1016/0378-8733(78)90021-7

L. C. Freeman and S. P. Borgatti, Centrality in valued graphs: A measure of betweenness based on network flow, Social Networks, vol.13, issue.2, pp.141-154, 1991.
DOI : 10.1016/0378-8733(91)90017-N

S. Fortunato, V. Latora, and M. Marchiori, Method to find community structures based on information centrality, Physical Review E, vol.70, issue.5, p.56104, 2004.
DOI : 10.1103/PhysRevE.70.056104

R. Geisberg, P. Sanders, and D. Scultes, Better approximation of betweenness centrality, p.8, 2008.

M. Girvan and M. E. Newman, Community structure in social and biological networks, Proc. Natl. Acad. Sci. USA 99, 2002.
DOI : 10.1073/pnas.122653799

M. Girvan and M. E. Newman, Finding and evaluating community structure in networks, Phys. Rev. E, vol.69, p.26113, 2004.

J. Golbeck, B. Parsia, and J. Hendler, Trust Networks on the Semantic Web, p.3, 2003.
DOI : 10.1007/978-3-540-45217-1_18

T. Gruber, Ontology of Folksonomy, International Journal on Semantic Web and Information Systems, vol.3, issue.1, p.2005, 2005.
DOI : 10.4018/jswis.2007010101

J. Hendler and J. Goldbeck, Metcalfe's law, Web 2.0, and the Semantic Web, Web Semantics: Science, Services and Agents on the World Wide Web, vol.6, issue.1, pp.14-20, 2008.
DOI : 10.1016/j.websem.2007.11.008

P. Holme, B. J. Kim, C. N. Yoon, and S. K. Han, Attack vulnerability of complex networks, Physical Review E, vol.65, issue.5, p.56109, 2002.
DOI : 10.1103/PhysRevE.65.056109

Y. Jin, Y. Matsuo, and M. Ishizuka, Extracting a Social Network among Entities by Web mining, p.2007, 2007.

H. Kautz, B. Selman, and M. Shah, The hidden Web, AI magazine, vol.18, issue.2, pp.27-35, 1997.

R. Khare and T. Celik, Microformats, Proceedings of the 15th international conference on World Wide Web , WWW '06, p.2006, 2006.
DOI : 10.1145/1135777.1135917

K. L. Kochut and M. Janik, SPARQLeR: Extended Sparql for Semantic Association Discovery, Proc, p.2007, 2007.
DOI : 10.1007/978-3-540-72667-8_12

V. Latora and M. Marchiori, A measure of centrality based on network efficiency, New Journal of Physics, vol.9, issue.6, p.188, 2007.
DOI : 10.1088/1367-2630/9/6/188

F. Limpens, M. Buffa, and F. Gandon, Rapprocher les ontologies et les folksonomies pour la gestion des connaissances partagées : un état de l'art, p.2008, 2008.

Y. Matsuo, M. Hamasaki, H. Takeda, T. Nishimura, K. Hasida et al., POLYPHONET, Proceedings of the 15th international conference on World Wide Web , WWW '06, p.2006, 2006.
DOI : 10.1145/1135777.1135837

J. L. Moreno, Emotions mapped by new geography, New York Times, 1933.

P. Mika, Social Networks and the Semantic Web, 2007.

S. Milgram, The Small World Problem, Psychology Today, vol.1, issue.1, pp.61-67, 1967.
DOI : 10.1037/e400002009-005

I. Mirbel, Vers une ontologie pour les communautés de développement de logiciel libre, p.2009, 2008.

M. E. Newman, Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality, Physical Review E, vol.64, issue.1, p.16132, 2001.
DOI : 10.1103/PhysRevE.64.016132

M. E. Newman, The Structure and Function of Complex Networks, SIAM Review, vol.45, issue.2, pp.167-256, 2003.
DOI : 10.1137/S003614450342480

M. E. Newman, Detecting community structure in networks, The European Physical Journal B - Condensed Matter, vol.38, issue.2, pp.321-330, 2004.
DOI : 10.1140/epjb/e2004-00124-y

M. E. Newman, Fast algorithm for detecting community structure in networks, Physical Review E, vol.69, issue.6, p.66133, 2004.
DOI : 10.1103/PhysRevE.69.066133

A. Passant and P. Laublet, Meaning Of A Tag: A Collaborative Approach to Bridge the Gap Between Tagging and Linked Data, p.2008, 2008.

J. C. Paolillo and E. Wright, Social Network Analysis on the Semantic Web: Techniques and Challenges for Visualizing FOAF. Visualizing the semantic WebXml-based Internet And Information, 2006.

P. Pons and M. Latapy, Computing communities in large networks using random walks, p.2005, 2005.

F. Radicchi, C. Castellano, F. Cecconi, V. Loreto, and D. Parisi, Defining and identifying communities in networks, Proceedings of the National Academy of Sciences, vol.101, issue.9, pp.2658-2663, 2004.
DOI : 10.1073/pnas.0400054101

E. E. Santos, L. Pan, D. Arendt, and M. Pittkin, An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis, 2006 IEEE International Conference on Systems, Man and Cybernetics, p.2006, 2006.
DOI : 10.1109/ICSMC.2006.385045

J. Scott-2000, Social Network Analysis, a handbook, second edition, Sage, 2000.

J. R. Tyler, D. M. Wilkinson, and B. A. Huberman, Email as Spectroscopy: Automated Discovery of Community Structure within Organizations, Proc. C&T2003, 2003.
DOI : 10.1007/978-94-017-0115-0_5

S. Wasserman, K. Faust, D. Iacobucci, and M. Granovetter, Social Network Analysis: Methods and Applications, 1994.
DOI : 10.1017/CBO9780511815478

B. Wellman, Computer Networks As Social Networks, Science, vol.293, issue.5537, pp.2031-2065, 2001.
DOI : 10.1126/science.1065547

E. Wenger, Communities of Practice: Learning as a Social System Thinker, 1998.
DOI : 10.1017/CBO9780511803932

D. M. Wilkinson and B. A. Huberman, A method for finding communities of related genes, Proc. Natl. Acad. Sci, 2003.
DOI : 10.1073/pnas.0307740100

F. Wu and B. A. Huberman, Finding communities in linear time: a physics approach, The European Physical Journal B - Condensed Matter, vol.38, issue.2, 2004.
DOI : 10.1140/epjb/e2004-00125-x

H. Zhou and R. Lipowsky, Network browniam motion: A new method to measure vertexvertex proximity and to identify communities and subcommunities, ICCS, 2004.