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科研机构
沈阳自动化研究所 [5]
兰州理工大学 [4]
地理科学与资源研究所 [1]
数学与系统科学研究院 [1]
重庆绿色智能技术研究... [1]
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期刊论文 [8]
会议论文 [3]
SCI/SSCI论文 [1]
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A novel centrality measure for identifying influential nodes based on minimum weighted degree decomposition
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2021, 卷号: 35, 期号: 24
作者:
Lu, Pengli
;
Zhang, Zhiru
;
Guo, Yuhong
;
Chen, Yahong
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/12/17
Complex networks
minimum weighted degree decomposition
local influentiality
global influence capability
susceptible-infected-recovered (SIR) model
EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity
期刊论文
MODERN PHYSICS LETTERS B, 2020, 卷号: 34, 期号: 26
作者:
Lu, Pengli
;
Dong, Chen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/03/01
Topological structure
neighbor-diversity
cumulative centrality
extended mixing H-index (EMH) centrality
Susceptible-Infected-Recovered (SIR) model
A Human Flesh Search Model Based on Multiple Effects
期刊论文
IEEE Transactions on Network Science and Engineering, 2020, 卷号: 7, 期号: 3, 页码: 1394-1405
作者:
Nian, Fuzhong
;
Diao, Hongyuan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/11/14
Analytical models
Complex networks
Computer system recovery
Couplings
Hafnium
Information dissemination
Mathematical models
Numerical models
Recovery
Small-world networks
Social networking (online)
Comparative experiments
Dynamic rates
Human flesh
Information propagation
Multiple effect
Propagation probabilities
Susceptible-infected-recovered model
Susceptible-infected-susceptible model
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
收藏
  |  
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
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/11/01
Complex Network
Influential Node
Eigen-centrality
Sir
Kendall
Factors influencing message dissemination through social media
期刊论文
Physical Review E, 2018, 卷号: 97, 期号: 6, 页码: 1-6
作者:
Fu Y(傅洋)
;
Yang HC(杨焕成)
;
Zheng ZY(郑泽宇)
;
Stanley, H. Eugene
;
Podobnik, Boris
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2018/07/01
Factors influencing message dissemination through social media
期刊论文
Physical Review E, 2018, 卷号: 97, 期号: 6, 页码: 1-6
作者:
Fu DZ(付殿峥)
;
Stanley, H. Eugene
;
Podobnik, Boris
;
Fu Y(傅洋)
;
Yang HC(杨焕成)
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/07/01
Factors that influence scope of information dissemination in online social networks and phase transition in process of communication
会议论文
9th International Conference on Modelling, Identification and Control, ICMIC 2017, Kunming, China, July 10-12, 2017
作者:
Zheng ZY(郑泽宇)
;
Fu Fu DZ(付殿峥)
;
Yang HC(杨焕成)
;
Han JD(韩建达)
;
Zhang DH(张道辉)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2018/08/12
online social networks(OSNs)
susceptible infected recovered (SIR)
information information dissemination
degree of nodes
probability to be retweeted
phase transition
Factors that influence scope of information dissemination in online social networks and phase transition in process of communication
会议论文
Kunming, China, July 10-12, 2017
作者:
Yang HC(杨焕成)
;
Fu DZ(付殿峥)
;
Zheng ZY(郑泽宇)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2018/08/12
online social networks(OSNs)
susceptible infected recovered (SIR)
information information dissemination
degree of nodes
probability to be retweeted
phase transition
Factors that influence scope of information dissemination in online social networks and phase transition in process of communication
会议论文
Kunming, China, July 10-12, 2017
作者:
Yang HC(杨焕成)
;
Fu DZ(付殿峥)
;
Zheng ZY(郑泽宇)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2018/08/12
online social networks(OSNs)
susceptible infected recovered (SIR)
information information dissemination
degree of nodes
probability to be retweeted
phase transition
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