We show that prominent centrality measures in network analysis are all based on additively separable and linear treatments of statistics that capture a node's position in the network. This enables us to provide a taxonomy of centrality measures that distills them to varying on two dimensions:...

We examine the formation of networks among a set of players whose payoffs depend on the structure of the network. We focus on games where players may bargain by promising or demanding transfer payments when forming links. We examine several variations of the transfer/bargaining aspect of link...

Previous allocation rules for network games, such as the Myerson Value, implicitly or explicitly take the network structure as fixed. In many situations, however, the network structure can be altered by players. This means that the value of alternative network structures (not just sub-networks)...

Frontmatter -- Contents -- Preface -- PART I. BACKGROUND AND FUNDAMENTALS OF NETWORK ANALYSIS -- PART II. MODELS OF NETWORK FORMATION -- PART III. IMPLICATIONS OF NETWORK STRUCTURE -- PART IV. METHODS, TOOLS, AND EMPIRICAL ANALYSES -- Afterword -- Bibliography -- Index