Identifying and ranking influential spreaders in complex networks with consideration of spreading probability
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- 作者：Qian Ma maqiansdu@126.com" class="auth_mail" title="E-mail the corresponding author ; Jun Ma ; majun@sdu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Complex network ; Ranking ; Spreading ; Centrality measures
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：465
- 期：Complete
- 页码：312-330
- 全文大小：2818 K
文摘
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The common centralities are sensitive to the spreading probability.
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A hybrid degree centrality is proposed to evaluate nodes’ spreading ability.
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Our method integrates degree and local centrality with spreading probability.
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Our method is not sensitive to the spreading probability.
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Our method outperforms other centralities in both real and artificial networks.
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