. Agneessens, Choices of Theatre Events: p* Model for Affiliation Networks With attributes, Metodolo?ki zvezki, pp.419-439, 2004.

L. Anselin, A. Varga, and Z. Acs, Geographical Spillovers and University Research: A Spatial EconometricPerspective, Growth and Change, vol.31, issue.4, pp.501-515, 2000.
DOI : 10.1111/0017-4815.00142

C. Autant-bernard, Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies, Papers in Regional Science, vol.34, issue.3, pp.495-519, 2007.
DOI : 10.2307/2393988

URL : https://hal.archives-ouvertes.fr/ujm-00176420

V. Bala and S. Goyal, A Noncooperative Model of Network Formation, Econometrica, vol.68, issue.5, pp.1181-1229, 2000.
DOI : 10.1111/1468-0262.00155

P. A. Balland, Proximity and the Evolution of Collaboration Networks Evidences from R&D Projects within the GNSS industry, 2009.

J. Besag, Spatial Interaction and the Statistical Analysis of Lattice Systems, Journal of the Royal Statistical Society. Series B (Methodological), vol.36, issue.2, pp.192-236, 1974.

R. A. Boschma, Proximity and Innovation: A Critical Assessment, Regional Studies, vol.39, issue.1, pp.61-74, 2005.
DOI : 10.1080/0034340052000320887

T. Broekel and M. Hartog, Explaining the Structure of Inter-Organizational Networks using Exponential Random Graph Models, Industry & Innovation, vol.3, issue.3, 2011.
DOI : 10.1016/j.socnet.2008.10.003

N. Carayol and P. Roux, The Strategic Formation of Inter-Individual Collaboration Networks: Emprical Evidence from Co-invention Patterns, Annales d'Economie et de Statistiques, pp.87-88, 2007.

B. Cassiman and R. Veugelers, R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium, American Economic Review, vol.92, issue.4, pp.1169-1184, 2002.
DOI : 10.1257/00028280260344704

W. M. Cohen and D. A. Levinthal, Absorptive Capacity: A New Perspective on Learning and Innovation, Special Issue: Technology, Organizations, and Innovation, pp.128-152, 1990.
DOI : 10.2307/2393553

P. Cooke, M. G. Uranga, and G. Etxebarria, Regional innovation systems: Institutional and organisational dimensions, Research Policy, vol.26, issue.4-5, pp.475-491, 1997.
DOI : 10.1016/S0048-7333(97)00025-5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.515.3467

R. Cowan, N. Jonard, and J. Zimmermann, Bilateral Collaboration and the Emergence of Innovation Networks, Management Science, vol.53, issue.7, pp.1051-1067, 2007.
DOI : 10.1287/mnsc.1060.0618

P. Erdös and A. Renyi, On random graphs I, Publicationes Mathematicae Debrecen, issue.6, pp.290-297, 1959.

M. Fafchamps, S. Goyal, and M. J. Van-der-leij, Matching and Network Effects, Journal of the European Economic Association, vol.8, issue.1, pp.203-231, 2010.
DOI : 10.1111/j.1542-4774.2010.tb00500.x

M. P. Feldman, An Examination of the Geography of Innovation, Industrial and Corporate Change, vol.2, issue.3, 1993.

M. P. Feldman and F. R. , The Geographic Sources of Innovation: Technological Infrastructure and Product Innovation in the United States, Annals of the Association of American Geographers, pp.210-229, 1994.

D. Frachisse, L'analyse des réseaux sociaux appliquée aux PCRDT: Enjeux méthodologiques et outils pour l'évaluation, 2010.

O. Frank and D. Strauss, Markov Graphs, Journal of the American Statistical Association, vol.75, issue.395, pp.832-842, 1986.
DOI : 10.1080/01621459.1986.10478342

K. Frenken, F. Van-oort, and T. Verburg, Related Variety, Unrelated Variety and Regional Economic Growth, Regional Studies, vol.30, issue.5, pp.685-697, 2007.
DOI : 10.2307/3146208

URL : https://hal.archives-ouvertes.fr/hal-00514645

C. J. Geyer and E. A. Thompson, Constrained Monte Carlo Maximum Likelihood for Dependent Data, Journal of the Royal Statistical Society, Series B (Methodological), vol.54, issue.3, pp.657-699, 1992.

S. Goyal, M. J. Van-der-leij, and J. L. Moraga, Economics: An Emerging Small World, Jounal of Political Economy, pp.403-438, 2006.
DOI : 10.1086/500990

J. Hagedoorn, Inter-firm R&D partnerships: an overview of major trends and patterns since 1960, Research Policy, vol.31, issue.4, pp.477-492, 2002.
DOI : 10.1016/S0048-7333(01)00120-2

M. S. Handcock, Assessing Degeneracy in Statistical Models of Social Networks, Working Paper no.39, Centre for, Statistics and Social Sciences, 2003.

S. Hanneke, W. Fu, and E. P. Xing, Discrete temporal models of social networks, Electronic Journal of Statistics, vol.4, issue.0, pp.585-605, 2010.
DOI : 10.1214/09-EJS548

J. Hoekman, K. Frenken, and F. Van-oort, The geography of collaborative knowledge production in Europe, The Annals of Regional Science, vol.52, issue.3, pp.721-738, 2009.
DOI : 10.1007/s00168-008-0252-9

P. W. Holland and S. Leinhardt, An Exponential Family of Probability Distributions for Directed Graphs, Journal of American Statistical Association, vol.6, issue.373, pp.33-50, 1981.

O. M. Jackson and R. B. , Meeting Strangers and Friends of Friends: How Random Are Social Networks?, American Economic Review, vol.97, issue.3, pp.890-915, 2007.
DOI : 10.1257/aer.97.3.890

M. O. Jackson and A. Wolinsky, A Strategic Model of Social and Economic Networks, Journal of Economic Theory, vol.71, issue.1, pp.44-74, 1996.
DOI : 10.1006/jeth.1996.0108

C. Johnson and R. Gilles, Spatial social networks, Review of Economic Design, vol.5, issue.3, pp.273-299, 2000.
DOI : 10.1007/PL00013690

J. Knoben and L. A. Oerlemans, Proximity and inter-organizational collaboration: A literature review, International Journal of Management Reviews, vol.80, issue.1, pp.71-89, 2006.
DOI : 10.1016/j.jebo.2004.03.019

P. N. Krivitsky and M. S. Handcock, A Separable Model for Dynamic Networks, arXiv:1011, 2010.

R. Lata and T. Scherngell, The Spatio-Temporal Distribution of European R&D Networks: Evidence Using Eigenvector Spatially Filtered Spatial Interaction Models, Available at SSRN: http://ssrn, 2010.

P. J. Lane and M. Lubatkin, Relative absorptive capacity and interorganizational learning, Strategic Management Journal, vol.19, issue.5, pp.461-477, 1998.
DOI : 10.1002/(SICI)1097-0266(199805)19:5<461::AID-SMJ953>3.0.CO;2-L

N. Massard and C. Mehier, Proximity and Innovation Trough an, Accessibility of Knowledge " Lens, Regional Studies, vol.43, pp.77-88, 2009.

B. Nooteboom, Optimal cognitive distance and absorptive capacity, Research Policy, vol.36, issue.7, pp.1016-1034, 2007.
DOI : 10.1016/j.respol.2007.04.003

URL : http://repository.tue.nl/595283

M. Paier and T. Scherngell, Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Binary Choice Model Perspective, NEMO Working Paper 10, p.29, 2008.

J. Park and M. E. Newman, Statistical mechanics of networks, Physical Review E, vol.70, issue.6, 2004.
DOI : 10.1103/PhysRevE.70.066117

P. Pattison and G. Robins, 9. Neighborhood-Based Models for Social Networks, Sociological Methodology, vol.56, issue.1, pp.301-337, 2002.
DOI : 10.1111/1467-9531.00119

URL : https://hal.archives-ouvertes.fr/in2p3-00010560

R. Ponds, F. Van-oort, and K. Frenken, The geographical and institutional proximity of research collaboration, Papers in Regional Science, vol.46, issue.3, pp.423-443, 2007.
DOI : 10.1023/A:1014208219788

W. W. Powell, K. W. Koput, and L. Smith-doerr, Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology, Administrative Science Quarterly, vol.41, issue.1, pp.116-145, 1996.
DOI : 10.2307/2393988

G. Robins, An introduction to exponential random graph (p*) models for social networks, Social Networks, vol.29, issue.2, pp.173-191, 2007.
DOI : 10.1016/j.socnet.2006.08.002

T. Scherngell and M. J. Barber, Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme, Papers in Regional Science, vol.83, issue.3, pp.531-546, 2009.
DOI : 10.1111/j.1435-5957.2008.00215.x

T. A. Snijders, Markov Chain Monte Carlo Estimation of Exponential Random Graph Models, Journal of Social Structure, vol.3, issue.2, 2002.

D. Straus and M. Ikeda, Pseudolikelihood Estimation for Social Networks, Journal of the American Statistical Association, vol.28, issue.409, pp.204-212, 1990.
DOI : 10.1111/j.2044-8317.1986.tb00844.x

B. Uzzi, The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect, American Sociological Review, vol.61, issue.4, pp.674-698, 1996.
DOI : 10.2307/2096399

P. Wang, PNet: A Program for the Simulation and Estimation of Exponential Random Graph Models, School of Behaviour Science, 2006.

P. Wang, Exponential random graph () models for affiliation networks, Social Networks, vol.31, issue.1, pp.12-25, 2009.
DOI : 10.1016/j.socnet.2008.08.002

P. Wang, P. Pattison, and G. Robins, Exponential random graph model specifications for bipartite networks???A dependence hierarchy, Social Networks, vol.35, issue.2, 2012.
DOI : 10.1016/j.socnet.2011.12.004

S. Wasserman and P. Pattison, Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp, Psychometrika, vol.39, issue.3, pp.61-401, 1996.
DOI : 10.1007/BF02294547

S. Wuchty, B. F. Jones, and B. Uzzi, The Increasing Dominance of Teams in Production of Knowledge, Science, vol.316, issue.5827, pp.1036-1039, 2007.
DOI : 10.1126/science.1136099

A. Zaheer, B. Mcevily, and V. Perrone, Does Trust Matter? Exploring the Effects of Interorganizational and Interpersonal Trust on Performance, Organization Science, vol.9, issue.2, pp.141-159, 1998.
DOI : 10.1287/orsc.9.2.141

D. E. Zand, Trust and Managerial Problem Solving, Administrative Science Quarterly, vol.17, issue.2, pp.229-239, 1972.
DOI : 10.2307/2393957