This research examines four frequently used centrality indices — degree, closeness, betweenness, and eigenvectors — to understand the extent to which their clear theoretical distinctions are reflected in differences in empirical performance. Even for stylized networks in which one centrality...

This research uses random networks as benchmarks for inferential tests of network structures. Specifically, we develop formulas for expected values and confidence intervals for four frequently employed social network centrality indices. The first study begins with analyses of stylized networks,...

In this article, the authors consider the nexus of social networks and radically new products. These new products are so innovative that they forge new product categories, and social networks might be particularly fruitful in their development, dissemination, and help to foster growth and...

This article introduces network analysis as a supplement to current research on the process of negotiations. We briefly review the literature on negotiations involving third parties, and argue that to understand fully the dynamics of dispute resolution, it is important to examine processes in...

Kraemer and Jacklin (1979) proposed a method of analysis of univariate dyadic social interactions or relational data, and Mendoza and Graziano (1982) extended this method to multivariate relations. Their approach is based on an analysis-of- variance-type model that contains parameters...

Auctions have been studied extensively as an economic marketplace. The economist's focus is on modeling final sales prices, but the processes that give rise to those outcomes are rarely studied in great detail. This research is intended to provide that complementary perspective. We show how the...

Social networks are currently extremely popular, and social networks models are useful in studying network phenomena. This paper describes models that are flexible in form, applicable to binary, categorical, or ordered data, reflecting a single relation among actors or multivariate or...