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The model of information dissemination on social networks under epidemic-related panic
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2022, 卷号: 36, 期号: 1
作者:
Nian, Fuzhong
;
Guo, Xin
;
Li, JinZhou
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/03/01
SEIR model
psychological effect
node attraction
complex network
Identifying influential nodes in social networks: A voting approach
期刊论文
CHAOS SOLITONS & FRACTALS, 2021, 卷号: 152
作者:
Liu, Panfeng
;
Li, Longjie
;
Fang, Shiyu
;
Yao, Yukai
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  |  
浏览/下载:15/0
  |  
提交时间:2021/12/17
Social networks
Influence maximization
Voting approach
Spreading model
Temporal gravity model for important node identification in temporal networks
期刊论文
CHAOS SOLITONS & FRACTALS, 2021, 卷号: 147, 页码: 17
作者:
Bi, Jialin
;
Jin, Ji
;
Qu, Cunquan
;
Zhan, Xiuxiu
;
Wang, Guanghui
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  |  
浏览/下载:17/0
  |  
提交时间:2021/10/26
Temporal networks
Temporal gravity model
Important node
Centrality
Infection-Probability-Dependent Interlayer Interaction Propagation Processes in Multiplex Networks
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 1085-1096
作者:
Liu, Juan
;
Wu, Xiaoqun
;
Lu, Jinhu
;
Wei, Xiang
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  |  
浏览/下载:19/0
  |  
提交时间:2021/04/26
Epidemic threshold
multiplex network
propagation process
spreading rate function (SRF)
A clique-based discrete bat algorithm for influence maximization in identifying top-k influential nodes of social networks
期刊论文
SOFT COMPUTING, 2021, 卷号: 25, 期号: 13, 页码: 8223-8240
作者:
Han, Lihong
;
Li, Kuan-Ching
;
Castiglione, Arcangelo
;
Tang, Jianxin
;
Huang, Hengjun
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  |  
浏览/下载:13/0
  |  
提交时间:2021/06/03
Large-scale networks
Top-k influential nodes
Discrete bat algorithm
Clique partition
Diffusion of influence
Identifying vital nodes in complex networks based on information entropy, minimum dominating set and distance
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2021, 卷号: 35, 期号: 5
作者:
Lu, Pengli
;
Chen, Wei
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  |  
浏览/下载:15/0
  |  
提交时间:2021/04/12
Complex networks
information entropy
spreading capability
minimum dominance set
centrality
Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2019, 卷号: 33, 期号: 32
作者:
Lu, Pengli
;
Dong, Chen
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  |  
浏览/下载:2/0
  |  
提交时间:2020/06/02
Complex networks
spreading capability
clustering H-index mixing (CHM) centrality
susceptible-infected-recovered (SIR) model
Identifying the influential nodes via eigen-centrality from the differences and similarities of structure
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 510, 页码: 77-82
作者:
Zhong, Lin-Feng
;
Shang, Ming-Sheng
;
Chen, Xiao-Long
;
Cai, Shi-Ming
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  |  
浏览/下载:20/0
  |  
提交时间:2018/11/01
Complex Network
Influential Node
Eigen-centrality
Sir
Kendall
Local structure can identify and quantify influential global spreaders in large scale social networks
期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 卷号: 115, 期号: 29, 页码: 7468-7472
作者:
Hu, YQ
;
Ji, SG
;
Jin, YL
;
Feng, L
;
Stanley, HE
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  |  
浏览/下载:111/0
  |  
提交时间:2018/12/27
COMPLEX NETWORKS
EPIDEMICS
VIRUSES
Identifying node spreading influence for tunable clustering coefficient networks
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 486, 页码: 242-250
作者:
Wang, Zi-Yi
;
Han, Jing-Ti
;
Zhao, Jun
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  |  
浏览/下载:10/0
  |  
提交时间:2019/08/22
Node spreading influence
Clustering coefficient
Dynamic-sensitive centrality
SIR model
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