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

Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Lazega, Emmanuel (Éditeur intellectuel), Snijders, Tom A.B (Éditeur intellectuel)
Résumé:VIII, 375 p. 65 illus., 41 illus. in color.
text
Langue:anglais
Publié: Cham : Springer International Publishing : Imprint: Springer, 2016.
Édition:1st ed. 2016.
Collection:Methodos Series, Methodological Prospects in the Social Sciences, 12
Sujets:
Accès en ligne:https://doi.org/10.1007/978-3-319-24520-1
Format: Électronique eBook
Table des matières:
  • 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-Thérèse Jourda
  • 8: Blockmodeling of multilevel network data: Aleš Žiberna
  • 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 largenetworks 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: François-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 intwo 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.