, summary network parameters (e.g., the degree distribution or transitivity index); and (iii) empirical models of strategic … network formation admitting interdependencies in preferences. Current research challenges and open questions are also …

This paper presents and structurally estimates a model of endogenous network formation and legislative activity of … of Congress as exogenously given and instead embed it in a model of endogenous network formation useful for developing …

I build a simple dynamic model of the formation of an international social network of importers and exporters. Firms … can only export into markets in which they have a contact. They acquire new contacts both at random, and via their network …

Financial network structure is an important determinant of systemic risk. This paper examines how the U.S. interbank … network evolved over a long and important period that included two key events: the founding of the Federal Reserve and the …, initially reducing overall network concentration. The network became even more focused on Fed cities during the Depression, as …

We develop a theoretical model of security investments in a network of interconnected agents. Network connections … strategic substitutes. In a general (non-symmetric) network, this implies that underinvestment by some agents will encourage … symmetric or locally tree-like. We also characterize the impact of network structure on equilibrium and optimal investments …

linked fields. Our analysis uses 1.8 million U.S. patents and their citation properties to map the innovation network and its … strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975 …-1994. The interaction of this pre-existing network structure with patent growth in upstream technology fields has strong …

A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …

algorithm herself, her equity preference has no effect on the training procedure. So long as the data, however biased, contain … signal, they will be used and the learning algorithm will be the same. Equity preferences alone provide no reason to alter …