We propose a new measure of vulnerability of a node in a complex network. The measure is based on the analogy in which … the nodes of the network are represented by balls and the links are identified with springs. We define the measure as the … network is supposed to be submerged. We prove exact relations among the thus defined node displacement, the information …

fundamental concepts developed by social network analysis. Through a number of case studies, we show how social network analysis … network analysis and how it can be combined with other approaches. The paper finally highlights some of the applications of … social network analysis and their implications for trade policies. …

centrality is defined by diffusion centrality (Banerjee, Chandrasekhar, Duflo, and Jackson, 2013), which characterizes a nodeâ …€™s influence in spreading information. It first show that diffusion centrality nests standard centrality measures – degree …, eigenvector and Katz-Bonacich centrality – as extreme special cases. Next, it shows that boundedly rational individuals can …

analyzed. There are significantly positive correlations between gift network centrality and various forms of informal insurance … researchers an underutilized means of data collection for social network analysis. This paper first summarizes unique features of … the observed gift network structure. …

The paper builds a causal network for the Chinese financial system based on the Granger causality of company risks …, studies its different topologies in crisis and bull period, and applies the centrality to explain individual risk and prevent … systemic risk. The results show that this causal network possesses both small-world phenomenon and scale-free property, and has …

entrants than degree or closeness centrality. During the growth of a network, preferential attachment shifts from (local … forms of centrality. Using a complete database for the scientific specialty of research about “steel structures,” we show … that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new …

We hypothesize that the more central a firm in the customer–supplier network the lower is its returns from an … acquisition. We find that the acquirers’ announcement day abnormal returns decline if the acquirer is more central in the network …. Additionally, the target’s premiums decline if the target is more central in the network. Lastly, we also find that conditioned on …

node and of a network. Moreover, we give a classi cation of the centrality measures based on a topology of network flows …We deliver a short overview of di erent centrality measures and influence concepts in social networks, and present the … centrality: the ones based on degree, closeness, betweenness, and the eigenvector-related measures. We consider centrality of a …