Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Leclercq, Eric"'
Publikováno v:
Quality and Quantity (2022)
Influential nodes play a critical role in boosting or curbing spreading phenomena in complex networks. Numerous centrality measures have been proposed for identifying and ranking the nodes according to their importance. Classical centrality measures
Externí odkaz:
http://arxiv.org/abs/2205.06995
It is of paramount importance to uncover influential nodes to control diffusion phenomena in a network. In recent works, there is a growing trend to investigate the role of the community structure to solve this issue. Up to now, the vast majority of
Externí odkaz:
http://arxiv.org/abs/2202.00516
Identifying key nodes is crucial for accelerating or impeding dynamic spreading in a network. Community-aware centrality measures tackle this problem by exploiting the community structure of a network. Although there is a growing trend to design new
Externí odkaz:
http://arxiv.org/abs/2202.00515
Unlike classical centrality measures, recently developed community-aware centrality measures use a network's community structure to identify influential nodes in complex networks. This paper investigates their relationship on a set of fifty real-worl
Externí odkaz:
http://arxiv.org/abs/2201.12918
Centrality measures are crucial in quantifying the influence of the members of a social network. Although there has been a great deal of work dealing with this issue, the vast majority of classical centrality measures are agnostic of the community st
Externí odkaz:
http://arxiv.org/abs/2201.12914
The constantly growing size of real-world networks is a great challenge. Therefore, building a compact version of networks allowing their analyses is a must. Backbone extraction techniques are among the leading solutions to reduce network size while
Externí odkaz:
http://arxiv.org/abs/2201.12905
Publikováno v:
Sci Rep 11, 10088 (2021)
Identifying vital nodes in networks exhibiting a community structure is a fundamental issue. Indeed, community structure is one of the main properties of real-world networks. Recent works have shown that community-aware centrality measures compare fa
Externí odkaz:
http://arxiv.org/abs/2105.07233
Publikováno v:
IEEE Access, vol. 8, pp. 129717-129742, 2020
Hierarchy and centrality are two popular notions used to characterize the importance of entities in complex systems. Indeed, many complex systems exhibit a natural hierarchical structure, and centrality is a fundamental characteristic allowing to ide
Externí odkaz:
http://arxiv.org/abs/2103.01376