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Volumn 31, Issue , 2013, Pages 238-246

Stochastic blockmodeling of relational event dynamics

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTINUOUS TIME SYSTEMS; DYNAMICS; STOCHASTIC SYSTEMS;

EID: 84907031771     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (22)
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    • Butts, C.T.1
  • 9
    • 23844513545 scopus 로고    scopus 로고
    • Participation shifts: Order and differentiation in group conversation
    • June
    • D. R. Gibson. Participation Shifts: Order and Differentiation in Group Conversation. Social Forces, 81(4): 1335-1380, June 2003.
    • (2003) Social Forces , vol.81 , Issue.4 , pp. 1335-1380
    • Gibson, D.R.1
  • 10
    • 0002297105 scopus 로고
    • Conditional logit analysis of qualitative choice behavior
    • D McFadden. Conditional logit analysis of qualitative choice behavior. Frontiers in Econometrics, 1(2): 105-142, 1973.
    • (1973) Frontiers in Econometrics , vol.1 , Issue.2 , pp. 105-142
    • McFadden, D.1
  • 12
    • 85066362869 scopus 로고    scopus 로고
    • Modeling the dynamics of social networks using Bayesian hierarchical blockmodels
    • Abel Rodriguez. Modeling the dynamics of social networks using Bayesian hierarchical blockmodels. Statistical Analysis and Data Mining, pages 1-23, 2011.
    • (2011) Statistical Analysis and Data Mining , pp. 1-23
    • Rodriguez, A.1
  • 13
    • 83555173625 scopus 로고    scopus 로고
    • Analyzing event stream dynamics in two-mode networks: An exploratory analysis of private communication in a question and answer community
    • October
    • Christoph Stadtfeld and Andreas Geyer-Schulz. Analyzing event stream dynamics in two-mode networks: An exploratory analysis of private communication in a question and answer community. Social Networks, pages 1-15, October 2011.
    • (2011) Social Networks , pp. 1-15
    • Stadtfeld, C.1    Geyer-Schulz, A.2
  • 17
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for Dirichlet process mixture models
    • RM Neal. Markov chain sampling methods for Dirichlet process mixture models. Jour- nal of Computational and Graphical Statistics, 9(2): 249-265, 2000.
    • (2000) Jour- nal of Computational and Graphical Statistics , vol.9 , Issue.2 , pp. 249-265
    • Neal, R.M.1
  • 18
    • 0035511357 scopus 로고    scopus 로고
    • Student resistance: How the formal and informal organization of classrooms facilitate everyday forms of student deffi- ance
    • November
    • Daniel A. McFarland. Student Resistance: How the Formal and Informal Organization of Classrooms Facilitate Everyday Forms of Student Deffi- ance. American Journal of Sociology, 107(3): 612-678, November 2001.
    • (2001) American Journal of Sociology , vol.107 , Issue.3 , pp. 612-678
    • McFarland, D.A.1
  • 20
    • 22944464423 scopus 로고    scopus 로고
    • Introducing the Enron corpus: A new data set for email classification research
    • Bryan Klimt. Introducing the Enron corpus: A new data set for email classification research. Eu- ropean Conference on Machine Learning, pages 217-226, 2004.
    • (2004) Eu- ropean Conference on Machine Learning , pp. 217-226
    • Klimt, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.