Network theory

About: Network theory is a(n) research topic. Over the lifetime, 2257 publication(s) have been published within this topic receiving 109864 citation(s).

The Strength of Weak Ties: A Network Theory Revisited

Abstract: of Ph.D. dissertation, University of Haifa, Israel.

Social Network Analysis: A Handbook

Abstract: Networks and Relations The Development of Social Network Analysis Handling Relational Data Lines, Direction and Density Centrality and Centralization Components, Cores, and Cliques Positions, Roles, and Clusters Dimensions and Displays Appendix Social Network Packages

Power and Centrality: A Family of Measures

Abstract: 2In an influential paper, Freeman (1979) identified three aspects of centrality: betweenness, nearness, and degree. Perhaps because they are designed to apply to networks in which relations are binary valued (they exist or they do not), these types of centrality have not been used in interlocking directorate research, which has almost exclusively used formula (2) below to compute centrality. Conceptually, this measure, of which c(ot, 3) is a generalization, is closest to being a nearness measure when 3 is positive. In any case, there is no discrepancy between the measures for the four networks whose analysis forms the heart of this paper. The rank orderings by the

Building a Network Theory of Social Capital

Abstract: This chapter reviews social capital as discussed in the literature, identifies controversies and debates, considers some critical issues, and provides conceptual and research strategies for building a theory. It argues that such a theory and the research enterprise must be based on the fundamental understanding that social capital is captured from embedded resources in social networks. Such measurements can strength of tie network bridge, or intimacy, intensity, interaction and reciprocity be made relative to two frameworks: network resources and contact resources. There are many other measures, such as size, density, cohesion, and closeness of social networks which are candidates as measures for social capital. Network locations are necessary conditions of embedded resources. By considering social capital as assets in networks, the chapter discusses some issues in conceptualization, measurement, and causal mechanism. A proposed model identifies the exogenous factors leading to the acquisition (or the lack) of social capital as well as the expected returns of social capital.