Theories of Communication NetworksOxford University Press, 2003 - 406 Seiten To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks. |
Im Buch
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Inhalt
Networks and Flows in Organizational Communication | 3 |
Part I | 4 |
Integration | 17 |
The Multitheoretical Multilevel Framework | 27 |
Network Concepts Measures and the Multitheoretical Multilevel Analytic Framework | 29 |
Communication and Knowledge Networks as Complex Systems | 79 |
Computational Modeling of Networks | 99 |
Part II | 120 |
Social Theories for Studying Communication Networks | 139 |
Theories of SelfInterest and Collective Action | 141 |
Contagion Semantic and Cognitive Theories | 173 |
Exchange and Dependency Theories | 209 |
Homophily Proximity and Social Support Theories | 223 |
Evolutionary and Coevolutionary Theories | 241 |
Multitheoretical Multilevel Models of Communication | 293 |
Andere Ausgaben - Alle anzeigen
Theories of Communication Networks Peter R. Monge,Noshir S. Contractor,Peter S. Contractor Eingeschränkte Leseprobe - 2003 |
Häufige Begriffe und Wortgruppen
actor argued attitudes attributes AttX behavior Blanche Carley centrality chapter cognitive consistency cognitive social structures collective action communication networks computational model configurations connected contagion mechanism Contractor DeSanctis develop discussed distribution dyad dynamics emergence empirical epistatic examine example exogenous expertise firms fitness landscape focal framework Fulk function global graph groups heterarchies homophily hypotheses individuals influence interaction interorganizational knowledge networks Krackhardt likelihood linkages Monge MTML multilevel multilevel models multiple multitheoretical mutual network analysis NK(C nodes observed network organizational communication organizational forms parameters person perspective populations probability processes properties realizations reciprocity relationships represented Science self-interest self-organizing semantic networks shared similar simulations small world networks social capital social exchange theory social networks social support social theories specified strategy structural equivalence structural holes structural tendencies theoretical mechanisms tion tive top-center traditional transaction cost economics transactive memory transitivity variables vidual virtual experiments Wasserman zations
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