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Volumn 57, Issue 6, 2013, Pages 284-296

Conditional estimation of exponential random graph models from snowball sampling designs

Author keywords

Conditional Markov chain Monte Carlo maximum likelihood estimation; Exponential random graph models; Snowball sampling; Social networks

Indexed keywords


EID: 84890215300     PISSN: 00222496     EISSN: 10960880     Source Type: Journal    
DOI: 10.1016/j.jmp.2013.05.004     Document Type: Article
Times cited : (64)

References (41)
  • 1
    • 0002826444 scopus 로고
    • Nearest-neighbour Markov point processes and random sets
    • Baddeley A., Möller J. Nearest-neighbour Markov point processes and random sets. International Statistical Review 1989, 57:89-121.
    • (1989) International Statistical Review , vol.57 , pp. 89-121
    • Baddeley, A.1    Möller, J.2
  • 3
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • (with discussion)
    • Besag J.E. Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society: Series B 1974, 36:96-127. (with discussion).
    • (1974) Journal of the Royal Statistical Society: Series B , vol.36 , pp. 96-127
    • Besag, J.E.1
  • 6
    • 85052980806 scopus 로고
    • Relational analysis: the study of social organizations with survey methods
    • Coleman J.S. Relational analysis: the study of social organizations with survey methods. Human Organization 1958, 16:28-36.
    • (1958) Human Organization , vol.16 , pp. 28-36
    • Coleman, J.S.1
  • 7
    • 0141678931 scopus 로고    scopus 로고
    • Estimating the size of the homeless population in Budapest, Hungary
    • Dávid B., Snijders T.A.B. Estimating the size of the homeless population in Budapest, Hungary. Quality and Quantity 2002, 36:291-303.
    • (2002) Quality and Quantity , vol.36 , pp. 291-303
    • Dávid, B.1    Snijders, T.A.B.2
  • 9
    • 33847185785 scopus 로고    scopus 로고
    • Network sampling and model fitting
    • Cambridge University Press, New York, P.J. Carrington, J. Scott, S. Wasserman (Eds.)
    • Frank O. Network sampling and model fitting. Models and methods in social network analysis 2005, 31-56. Cambridge University Press, New York. P.J. Carrington, J. Scott, S. Wasserman (Eds.).
    • (2005) Models and methods in social network analysis , pp. 31-56
    • Frank, O.1
  • 10
  • 13
    • 34147186763 scopus 로고    scopus 로고
    • p *) models applied to a large social network
    • p *) models applied to a large social network. Social Networks 2007, 29:231-248.
    • (2007) Social Networks , vol.29 , pp. 231-248
    • Goodreau, S.1
  • 14
    • 4344651615 scopus 로고    scopus 로고
    • Statistical models for social networks
    • National Academies Press, Washington, DC, R.L. Breiger, K.M. Carley, P.E. Pattison (Eds.)
    • Handcock M.S. Statistical models for social networks. Dynamic social network modeling and analysis 2003, National Academies Press, Washington, DC. R.L. Breiger, K.M. Carley, P.E. Pattison (Eds.).
    • (2003) Dynamic social network modeling and analysis
    • Handcock, M.S.1
  • 15
    • 84890240525 scopus 로고    scopus 로고
    • Assessing degeneracy in statistical models for social networks. Center for statistics in the social sciences working paper no. 39, University of Washington.
    • Handcock, M.S. (2004). Assessing degeneracy in statistical models for social networks. Center for statistics in the social sciences working paper no. 39, University of Washington.
    • (2004)
    • Handcock, M.S.1
  • 16
    • 84890194762 scopus 로고    scopus 로고
    • Modelling social networks with sampled or missing data
    • CSSS Working paper no. 75
    • Handcock, M.S., & Gile, K.J. (2007). Modelling social networks with sampled or missing data. CSSS Working paper no. 75, University of Washington.
    • (2007) University of Washington
    • Handcock, M.S.1    Gile, K.J.2
  • 18
    • 45349097076 scopus 로고    scopus 로고
    • Statnet: software tools for representation, visualization, analysis and simulation of network data
    • URL:
    • Handcock M.S., Hunter D., Butts C., Goodreau S., Morris M. Statnet: software tools for representation, visualization, analysis and simulation of network data. Journal of Statistical Software 2008, 24(1). URL: http://www.jtatsoft.org/v24/i01.
    • (2008) Journal of Statistical Software , vol.24 , Issue.1
    • Handcock, M.S.1    Hunter, D.2    Butts, C.3    Goodreau, S.4    Morris, M.5
  • 19
    • 0003992773 scopus 로고    scopus 로고
    • Respondent-driven sampling: a new approach to the study of hidden populations
    • Heckathorn D.D. Respondent-driven sampling: a new approach to the study of hidden populations. Social Problems 1997, 44:174-199.
    • (1997) Social Problems , vol.44 , pp. 174-199
    • Heckathorn, D.D.1
  • 21
    • 34147139437 scopus 로고    scopus 로고
    • Curved exponential family models for social networks
    • Hunter D.R. Curved exponential family models for social networks. Social Networks 2007, 29:216-230.
    • (2007) Social Networks , vol.29 , pp. 216-230
    • Hunter, D.R.1
  • 27
    • 0002687371 scopus 로고
    • The small world problem
    • Milgram S. The small world problem. Psychology Today 1967, 1:60-67.
    • (1967) Psychology Today , vol.1 , pp. 60-67
    • Milgram, S.1
  • 28
    • 0036420701 scopus 로고    scopus 로고
    • Neighbourhood-based models for social networks
    • Pattison P.E., Robins G.L. Neighbourhood-based models for social networks. Sociological Methodology 2002, 32:301-337.
    • (2002) Sociological Methodology , vol.32 , pp. 301-337
    • Pattison, P.E.1    Robins, G.L.2
  • 31
    • 21344457455 scopus 로고    scopus 로고
    • Small and other worlds: global network structures from local processes
    • Robins G.L., Pattison P.E., Woolcock J. Small and other worlds: global network structures from local processes. American Journal of Sociology 2005, 110:894-936.
    • (2005) American Journal of Sociology , vol.110 , pp. 894-936
    • Robins, G.L.1    Pattison, P.E.2    Woolcock, J.3
  • 33
    • 0003314308 scopus 로고    scopus 로고
    • Markov chain Monte Carlo estimation of exponential random graph models
    • Snijders T.A.B. Markov chain Monte Carlo estimation of exponential random graph models. Journal of Social Structure 2002, 3(2).
    • (2002) Journal of Social Structure , vol.3 , Issue.2
    • Snijders, T.A.B.1
  • 34
    • 77956958458 scopus 로고    scopus 로고
    • Conditional marginalization for exponential random graph models
    • Snijders T.A.B. Conditional marginalization for exponential random graph models. Journal of Mathematical Sociology 2010, 34:239-252.
    • (2010) Journal of Mathematical Sociology , vol.34 , pp. 239-252
    • Snijders, T.A.B.1
  • 37
    • 0002975220 scopus 로고    scopus 로고
    • Model-based estimation with link-tracing designs
    • Thompson S.K., Frank O. Model-based estimation with link-tracing designs. Survey Methodology 2000, 26:87-98.
    • (2000) Survey Methodology , vol.26 , pp. 87-98
    • Thompson, S.K.1    Frank, O.2
  • 38
    • 84875599270 scopus 로고    scopus 로고
    • Exponential random graph model specifications for bipartite networks-a dependence hierarchy
    • Wang P., Pattison P.E., Robins G.L. Exponential random graph model specifications for bipartite networks-a dependence hierarchy. Social Networks 2013, 35(2):211-222.
    • (2013) Social Networks , vol.35 , Issue.2 , pp. 211-222
    • Wang, P.1    Pattison, P.E.2    Robins, G.L.3
  • 39
    • 84858802141 scopus 로고    scopus 로고
    • PNet: program for the estimation and simulation of p * exponential random graph models, user manual. Department of Psychology
    • Wang, P., Robins, G., & Pattison, P. (2009). PNet: program for the estimation and simulation of p * exponential random graph models, user manual. Department of Psychology, University of Melbourne.
    • (2009) University of Melbourne.
    • Wang, P.1    Robins, G.2    Pattison, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.