Synopsis: 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..
Mauris ligula odio, ullamcorper eu ultrices sed, imperdiet a ante. Ut ac molestie dolor. Proin erat nunc, facilisis vitae consequat sit amet, accumsan eu ligula. Nunc dui ipsum, pulvinar non consequat ut, scelerisque sed arcu. Fusce id ornare augue, bibendum iaculis neque. Praesent dictum lorem vitae congue tristique. Mauris tempus ornare felis, eget interdum neque mattis eu. Curabitur blandit imperdiet dictum. Nunc tempus lectus tempor, aliquam nulla vitae, efficitur enim. Vivamus felis eros, faucibus id molestie et, elementum vitae turpis. Cras volutpat cursus nulla sit amet interdum.
Interdum et malesuada fames ac ante ipsum primis in faucibus. Integer tincidunt semper augue accumsan aliquam. Ut in iaculis enim. Fusce lorem risus, blandit non auctor in, tempor at est. Duis pharetra finibus nulla sed porttitor. Nam eu mi suscipit, convallis quam eu, pulvinar est. Etiam in nibh ut nisl feugiat lacinia. Nunc pretium enim purus. Duis sit amet augue sollicitudin, mattis quam ac, consectetur urna. Vivamus feugiat, est id ornare hendrerit, enim nulla efficitur massa, ac lacinia neque neque nec lorem. Proin quis lacus eget nisl cursus venenatis. Ut vulputate purus quis sodales posuere.