Searched for: subject%3A%22statistical%255C+and%255C+nonlinear%255C+physics%22
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He, Z. (author), Van Mieghem, P.F.A. (author)
Identifying the fastest spreaders in epidemics on a network helps to ensure an efficient spreading. By ranking the average spreading time for different spreaders, we show that the fastest spreader may change with the effective infection rate of a SIS epidemic process, which means that the time-dependent influence of a node is usually strongly...
journal article 2018
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Li, C. (author), Li, Q. (author), Van Mieghem, P.F.A. (author), Stanley, H.E. (author), Wang, H. (author)
In recent decades, a number of centrality metrics describing network properties of nodes have been proposed to rank the importance of nodes. In order to understand the correlations between centrality metrics and to approximate a high-complexity centrality metric by a strongly correlated low-complexity metric, we first study the correlation...
journal article 2015
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Trajanovski, S. (author), Wang, H. (author), Van Mieghem, P. (author)
Modularity has been explored as an important quantitative metric for community and cluster detection in networks. Finding the maximum modularity of a given graph has been proven to be NPcomplete and therefore, several heuristic algorithms have been proposed. We investigate the problem of finding the maximum modularity of classes of graphs that...
journal article 2012