… important branches of the centrality theory, we seek to identify the most central group of nodes
in a network, (without fixing the group … , among them being group centralization measures (…

Due to the development of intelligent decision-making, social network group decision-making
(SNGDM) has become increasingly valued. Generally, real SNGDM cases involve not only …

… the input network is to a random network with the same degrees of … how good the partitioning
of a network is. The basic formulation … the majority of network nodes into a few huge groups. …

… or groups from different networks. We focus on a degree-based measure of group centrality
… To this end we need to revisit certain important parts of its definition which will be later used …

… importance between the number of ties and tie weights. … a generalization of degree centrality
for weighted networks where … α , which determines the relative importance of the number of …

… abrupt increasing in degree centrality ranking through these two networks. This can be
explained by increasingly wide range of application in other field and great importance to other …

… study the problem of finding the most degree-central clique (MDCC) in a network, that is we
aim to find … propose an important property associated with the most degree-central cliques in …

… , which fuses more information, can more reasonably evaluate the node importance… importance
metric method is proposed based on the degree and the density of the local area network…

… the network, evolution may nudge proteins to find new interaction partners among the same
age group. Young proteins may not have had enough time to find new interaction partners. …

… network, the degrees represent an important … groups represent maximum balance, while
convergence at any higher number of groups implies imbalanced relations in the social network. …