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.
Paul Gauguin
Giorgio Bertini
Research Professor. Director at Learning Change Project – Research on society, culture, art, neuroscience, cognition, critical thinking, intelligence, creativity, autopoiesis, self-organization, rhizomes, complexity, systems, networks, leadership, sustainability, thinkers, futures ++
Giorgio Bertini does not work for, consult, own shares in or receive funding from any company or organization that would benefit from these papers, and has disclosed no relevant affiliations beyond their academic appointment.
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