We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest standard exponential random graph models (ERGMs) as a special case. We provide the first general results on when these models' (including ERGMs) parameters estimated from the...

We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest standard exponential random graph models (ERGMs) as a special case. We provide the first general results on when these models' (including ERGMs) parameters estimated from the...

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