Theories of Communication NetworksOxford University Press, 2003 - Počet stran: 406 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. |
Obsah
1 Networks and Flows in Organizational Communication | 3 |
The Multitheoretical Multilevel Framework | 27 |
Social Theories for Studying Communication Networks | 139 |
Integration | 291 |
Data Sets Used in Chapter 2 | 329 |
Další vydání - Zobrazit všechny
Běžně se vyskytující výrazy a sousloví
actor agents argued attitudes attributes behavior beliefs Blanche Carley centrality chapter coevolving cognitive consistency cognitive social structures collective action communication networks complex computational model configurations connected constraints Contractor create develop discussed dyadic dynamics emergence empirical environment epistatic evolutionary examine example exogenous expertise fitness landscape focal framework Fulk function genotype global graph groups heterarchies homophily hypotheses individuals influence interaction interorganizational Kauffman knowledge networks Krackhardt likelihood linkages Monge multilevel multiple multitheoretical mutual Nash equilibrium network analysis NK(C nodes observed network organizational communication organizational forms parameters person perspective populations probability processes random realizations relations relationships represented Science self-organizing semantic networks share similar simulations small world small world networks social capital social exchange theory social networks social support specific strategy structural holes structural tendencies theoretical mechanisms theory tion tive traits transaction cost economics transactive memory transitivity variables vidual Wasserman zations