Theories Of Communication Networks
36,64 €
Tellimisel
Tarneaeg:
2-4 nädalat
Tootekood
9780195160376
Description:
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 contempo...
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 contempo...
Description:
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 anlysis, 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.
Table of Contents:
1. Networks and Flows in Organizational Communication; PART I: THE MULTITHEORETICAL, MULTILEVEL FRAMEWORK; 2. Network Concepts, Measures, and the Multitheoretical, Multilevel Analytical Framework; 3. Communication and Knowledge Networks as Complex Systems; 4. Computational Modeling of Networks; PART II: SOCIAL THEORIES FOR STUDYING COMMUNICATION NETWORKS; 5. Theories of Self-Interest and Collective Action; 6. Contagion, Semantic, and Cognitive Theories; 7. Exchange and Dependency Theories; 8. Homophily, Proximity, and Social Support Theories; 9. Evolutionary and Coevolutionary Theories; PART III: INTEGRATION; 10. MultiTheoretical, Multilevel Models of Communication and Other Organizational Networks; Appendix: Data Sets Used in Chapter 2; References; Author Index; Subject Index
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 anlysis, 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.
Table of Contents:
1. Networks and Flows in Organizational Communication; PART I: THE MULTITHEORETICAL, MULTILEVEL FRAMEWORK; 2. Network Concepts, Measures, and the Multitheoretical, Multilevel Analytical Framework; 3. Communication and Knowledge Networks as Complex Systems; 4. Computational Modeling of Networks; PART II: SOCIAL THEORIES FOR STUDYING COMMUNICATION NETWORKS; 5. Theories of Self-Interest and Collective Action; 6. Contagion, Semantic, and Cognitive Theories; 7. Exchange and Dependency Theories; 8. Homophily, Proximity, and Social Support Theories; 9. Evolutionary and Coevolutionary Theories; PART III: INTEGRATION; 10. MultiTheoretical, Multilevel Models of Communication and Other Organizational Networks; Appendix: Data Sets Used in Chapter 2; References; Author Index; Subject Index
| Autor | Monge, Peter R. ; Contractor. Noshir S. |
|---|---|
| Ilmumisaeg | 2003 |
| Kirjastus | Oxford University Press Inc |
| Köide | Pehmekaaneline |
| Bestseller | Ei |
| Lehekülgede arv | 430 |
| Pikkus | 234 |
| Laius | 234 |
| Keel | American English |
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