How to identify influential nodes in complex networks is still an open issue. In this paper, a new multi-evidence centrality is proposed based on evidence theory. The existing measures of degree centrality, betweenness centrality, efficiency centrality, and correlation centrality are taken into consideration in the proposed method. The simulation on the Advanced Research Projects Agency (ARPA) network is used to illustrate the effectiveness of the proposed method.
Giorgio Bertini
Research Professor on society, culture, art, cognition, critical thinking, intelligence, creativity, neuroscience, autopoiesis, self-organization, complexity, systems, networks, rhizomes, leadership, sustainability, thinkers, futures ++
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Paul Gauguin
