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Volumn , Issue , 2010, Pages 301-310

Inferring relevant social networks from interpersonal communication

Author keywords

communication networks; email; learning; network structure; network thresholds; social network analysis; social networks; ties

Indexed keywords

COMMUNICATION NETWORKS; DATA SETS; DIFFERENT SIZES; ELECTRONIC COMMUNICATIONS; EMPIRICAL RESULTS; INFERRED NETWORKS; INTER-PERSONAL COMMUNICATIONS; LEARNING NETWORK; NETWORK INFERENCE; NETWORK STRUCTURES; NON-TRIVIAL; OPTIMAL THRESHOLD; OPTIMAL VALUES; PARAMETERIZED; PREDICTION ACCURACY; PREDICTION TASKS; RESEARCH QUESTIONS; SOCIAL NETWORK ANALYSIS; SOCIAL NETWORKS; THRESHOLD CONDITION;

EID: 77954633421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772722     Document Type: Conference Paper
Times cited : (145)

References (33)
  • 1
    • 20444434710 scopus 로고    scopus 로고
    • How to search a social network
    • July
    • Lada Adamic and Eytan Adar. How to search a social network. Social Networks, 27(3):187-203, July 2005.
    • (2005) Social Networks , vol.27 , Issue.3 , pp. 187-203
    • Adamic, L.1    Adar, E.2
  • 2
    • 13544253648 scopus 로고    scopus 로고
    • Cloning headless frogs and other important matters: Conversation topics and network structure
    • December
    • Peter Bearman and Paolo Parigi. Cloning headless frogs and other important matters: Conversation topics and network structure. Social Forces, 83(2):535-557, December 2004.
    • (2004) Social Forces , vol.83 , Issue.2 , pp. 535-557
    • Bearman, P.1    Parigi, P.2
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Christopher J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov., 2(2):121-167, 1998. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 4
    • 6344265551 scopus 로고    scopus 로고
    • Structural holes and good ideas
    • Ronald S. Burt. Structural holes and good ideas. The American Journal of Sociology, 110(2):349-399, 2004.
    • (2004) The American Journal of Sociology , vol.110 , Issue.2 , pp. 349-399
    • Burt, R.S.1
  • 8
    • 31044433193 scopus 로고    scopus 로고
    • Communication networks from the enron email corpus "it's always about the people. enron is no different"
    • Jana Diesner, Terrill L. Frantz, and Kathleen M. Carley. Communication networks from the enron email corpus "it's always about the people. enron is no different". Comput. Math. Organ. Theory, 11(3):201-228, 2005.
    • (2005) Comput. Math. Organ. Theory , vol.11 , Issue.3 , pp. 201-228
    • Diesner, J.1    Frantz, T.L.2    Carley, K.M.3
  • 9
    • 70349313631 scopus 로고    scopus 로고
    • Inferring social network structure using mobile phone data
    • N. Eagle, A. Pentland, and D. Lazer. Inferring social network structure using mobile phone data. PNAS, 106(36):15274-15278, 2009.
    • (2009) PNAS , vol.106 , Issue.36 , pp. 15274-15278
    • Eagle, N.1    Pentland, A.2    Lazer, D.3
  • 11
    • 84925930275 scopus 로고
    • The focused organization of social ties
    • Scott L. Feld. The focused organization of social ties. The American Journal of Sociology, 86(5):1015-1035, 1981.
    • (1981) The American Journal of Sociology , vol.86 , Issue.5 , pp. 1015-1035
    • Feld, S.L.1
  • 13
    • 0037681832 scopus 로고
    • Social access and the clustering of personal connections
    • M. Hammer. Social access and the clustering of personal connections. Social Networks, 2(4):305-325, 1980.
    • (1980) Social Networks , vol.2 , Issue.4 , pp. 305-325
    • Hammer, M.1
  • 14
    • 45749117949 scopus 로고    scopus 로고
    • A bayesian approach to network modularity
    • June
    • Jake M. Hofman and Chris H. Wiggins. A bayesian approach to network modularity. Phys Rev Lett., 100(5), June 2008.
    • (2008) Phys Rev Lett. , vol.100 , Issue.5
    • Hofman, J.M.1    Wiggins, C.H.2
  • 15
    • 30344443646 scopus 로고    scopus 로고
    • Empirical analysis of an evolving social network
    • DOI 10.1126/science.1116869
    • Gueorgi Kossinets and Duncan J. Watts. Empirical analysis of an evolving social network. Science, 311(5757):88-90, January 2006. (Pubitemid 43063064)
    • (2006) Science , vol.311 , Issue.5757 , pp. 88-90
    • Kossinets, G.1    Watts, D.J.2
  • 21
    • 84935322627 scopus 로고
    • Network data and measurement
    • Peter V. Marsden. Network data and measurement. Annual Review of Sociology, 16:435-463, 1990.
    • (1990) Annual Review of Sociology , vol.16 , pp. 435-463
    • Marsden, P.V.1
  • 23
    • 0035639140 scopus 로고    scopus 로고
    • Birds of a feather: Homophily in social networks
    • Miller Mcpherson, Lynn S. Lovin, and James M. Cook. Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1):415-444, 2001.
    • (2001) Annual Review of Sociology , vol.27 , Issue.1 , pp. 415-444
    • Mcpherson, M.1    Lovin, L.S.2    Cook, J.M.3
  • 24
    • 0003696205 scopus 로고
    • Holt, Rinehart and Winston, New York, NY
    • Theodore Mead Newcomb. The acquaintance process. Holt, Rinehart and Winston, New York, NY, 1961.
    • (1961) The Acquaintance Process
    • Newcomb, T.M.1
  • 25
    • 0042635247 scopus 로고    scopus 로고
    • Scientific collaboration networks. ii. shortest paths, weighted networks, and centrality
    • July
    • M. E. Newman. Scientific collaboration networks. ii. shortest paths, weighted networks, and centrality. Phys Rev E Stat Nonlin Soft Matter Phys, 64(1 Pt 2), July 2001.
    • (2001) Phys Rev E Stat Nonlin Soft Matter Phys , vol.64 , Issue.1 PART 2
    • Newman, M.E.1
  • 26
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • Feb
    • M. E. J. Newman and M. Girvan. Finding and evaluating community structure in networks. Physical Review E, 69(2):026113+, Feb 2004.
    • (2004) Physical Review E , vol.69 , Issue.2 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 28
    • 84976851626 scopus 로고
    • Discovering shared interests using graph analysis
    • Michael F. Schwartz and David C. M. Wood. Discovering shared interests using graph analysis. Commun. ACM, 36(8):78-89, 1993.
    • (1993) Commun. ACM , vol.36 , Issue.8 , pp. 78-89
    • Schwartz, M.F.1    Wood, D.C.M.2
  • 29
    • 31044436709 scopus 로고    scopus 로고
    • Technical report, USC Information Sciences Institute
    • J. Shetty and J. Adibi. Enron email dataset. Technical report, USC Information Sciences Institute, 2004.
    • (2004) Enron Email Dataset
    • Shetty, J.1    Adibi, J.2
  • 33
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of 'small-world' networks
    • June
    • D. J. Watts and S. H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393(6684):440-442, June 1998.
    • (1998) Nature , vol.393 , Issue.6684 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.