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This research addresses the problem of analyzing the temporal dynamics of business organizations. In particular, we concentrate on inferring the related businesses, i.e., are there groups of companies that are highly correlated through some measurement (metric)? We argue that business relationships derived from general literature (i.e., newspaper articles, news items etc.) may help us create a network...
In this paper, we present a novel business network construction approach, where the nodes of the network correspond to the names of the companies in a particular stock market index, and its links show the co-occurrence of two company names in daily news. Our approach consists of two phases, in which search for the company names in the news articles and network construction operations are performed,...
We propose a quantitative framework for constructing optimal policies to manage systemic risk in financial networks. We analyze borrower-lender networks where all the loan amounts and cash flows are known, and where some nodes may default in the absence of external intervention. Given a fixed amount of cash to be injected into the system, we address the problem of allocating it among the nodes to...
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