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Multilevel Network Analysis for the Social Sciences: Theory, Methods and Applications

Multilevel Network Analysis for the Social Sciences: Theory, Methods and Applications (Paperback, Softcover Repri)

Tom A. B. Snijders, Emmanuel Lazega (엮은이)
Springer
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Multilevel Network Analysis for the Social Sciences: Theory, Methods and Applications
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책 정보

· 제목 : Multilevel Network Analysis for the Social Sciences: Theory, Methods and Applications (Paperback, Softcover Repri) 
· 분류 : 외국도서 > 인문/사회 > 사회과학 > 방법론
· ISBN : 9783319796390
· 쪽수 : 375쪽
· 출판일 : 2019-03-30

목차

1: Introduction: Tom A.B. Snijders, Emmanuel Lazega, and Mark Tranmer.- Part I: THEORY: 2: The Multiple Flavours of Multilevel Issues for Networks: Tom A.B. Snijders.- 3: Neo-structural sociology, social change and dynamics of multilevel structures in the organizational society: Emmanuel Lazega.- PART II: METHODS: 4: Multilevel Modeling of Social Network and Relational Data: Marijtje A.J. van Duijn.- 5: Multilevel Models for Multilevel Network Dependencies: Mark Tranmer.- 6: Exponential random graph models for multilevel networks: Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega.- 7: Social selection models for multilevel networks: Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega, Marie-Therese Jourda.- 8: Blockmodeling of multilevel network data: Ales Ziberna.- 9: Correspondence Analysis of Multilevel Networks: Mengxiao Zhu, Stanley Wasserman.- 10: Multi-Level Network Analysis from The Duality of Cases and Variables: Ronald L. Breiger.- 11: Multi-splitting large networks for multi-level analysis: Christophe Prieur.- PART III: APPLICATIONS: 12: Experience sampling across organizational levels: Paola Zappa and Alessandro Lomi.- 13: Social integration of gifted students among their classmates: Miranda Jessica Lubbers.- 14:The impact of network position and team structure on individual outcomes: using a multilevel model with an autocorrelation component to predict individual (employee) job satisfaction: Filip Agneessens, Johan Koskinen.- 15: Small fish in big ponds: The structure of international fisheries agreements: James Hollway, Johan Koskinen.- 16: Dynamic interlocks and multilevel analysis in European corporate elites: Francois-Xavier Dudouet and Antoine Vion.- 17: Comparing fields of sciences: the network of collaborations of physicists and philosophers: Elisa Bellotti.- 18: Connecting and dissecting collective agency in community: applying a multi-level relational approach to the study of community infrastructure and collective action in two Manchester neighbourhoods: Beth Carley.- 19: Multilevel alignments between interactions and relations over different time frames: Implications for group innovativeness: Eric Quintane.- 20: A Multilevel network study of the Biotech industry in France: Alvaro Pina-Stranger, Ana Maria Falconi, Emmanuel Lazega.- 21: Economic exchange vs. social exchange: A Multilevel approach of a trade fair for TV programs in Africa: Guillaume Favre, Julien Brailly, Josiane Chatellet, Emmanuel Lazega.- 22 : Exponential Random Graph Models for a MultiLevel Network - A Case Study of the Audiovisual Market in Eastern Europe: Julien Brailly, Guillaume Favre, Josiane Chatellet, Emmanuel Lazega.

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