Identifying influential nodes in complex networks

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.

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About Giorgio Bertini

Research Professor. Founder 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 ++
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