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Rank-based deactivation model for networks with age 被引量:1

Rank-based deactivation model for networks with age
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摘要 We study the impact of age on network evolution which couples addition of new nodes and deactivation of old ones. During evolution, each node experiences two stages: active and inactive. The transition from the active state to the inactive one is based on the rank of the node. In this paper, we adopt age as a criterion of ranking, and propose two deactivation models that generalize previous research. In model A, the older active node possesses the higher rank, whereas in model B, the younger active node takes the higher rank. We make a comparative study between the two models through the node-degree distribution. We study the impact of age on network evolution which couples addition of new nodes and deactivation of old ones. During evolution, each node experiences two stages: active and inactive. The transition from the active state to the inactive one is based on the rank of the node. In this paper, we adopt age as a criterion of ranking, and propose two deactivation models that generalize previous research. In model A, the older active node possesses the higher rank, whereas in model B, the younger active node takes the higher rank. We make a comparative study between the two models through the node-degree distribution.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2013年第1期578-582,共5页 中国物理B(英文版)
基金 Project supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20093108110004) the National Natural Science Foundation of China (Grant Nos. 10805033 and 10902065)
关键词 complex networks deactivation model RANK complex networks, deactivation model, rank
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