• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 162 matches

• 2021
• 
  Lihong Han, Qingguo Zhou, Jianxin Tang, Xuhui Yang, Hengjun Huang:
  Identifying Top-k Influential Nodes Based on Discrete Particle Swarm Optimization With Local Neighborhood Degree Centrality. IEEE Access 9: 21345-21356 (2021)
• 
  Aman Ullah, Bin Wang, Jinfang Sheng, Jun Long, Nasrullah Khan:
  Identification of Influential Nodes via Effective Distance-based Centrality Mechanism in Complex Networks. Complex. 2021: 8403738:1-8403738:16 (2021)
• 
  Shuai Wang, Jing Liu, Yaochu Jin:
  Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Trans. Cybern. 51(2): 900-912 (2021)
• 
  Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi, Alireza Bagheri:
  CFIN: A community-based algorithm for finding influential nodes in complex social networks. J. Supercomput. 77(3): 2207-2236 (2021)
• 
  Kamal Taha:
  Detecting Disjoint Communities in a Social Network Based on the Degrees of Association Between Edges and Influential Nodes. IEEE Trans. Knowl. Data Eng. 33(3): 935-950 (2021)
• 
  Yuxin Mao, Lujie Zhou, Naixue Xiong:
  TPS: A Topological Potential Scheme to Predict Influential Network Nodes for Intelligent Communication in Social Networks. IEEE Trans. Netw. Sci. Eng. 8(1): 529-540 (2021)
• 
  Péter Marjai, Attila Kiss:
  Influential Performance of Nodes Identified by Relative Entropy in Dynamic Networks. Vietnam. J. Comput. Sci. 8(1): 93-112 (2021)
• 
  Nipun Aggarwal, Sanjay Kumar:
  Identifying Influential Nodes in Weighted Networks using k-shell based HookeRank Algorithm. CoRR abs/2102.04304 (2021)
• 
  Jiaojiao Jiang, Sanjay Jha:
  Network Growth From Global and Local Influential Nodes. CoRR abs/2103.00487 (2021)
• 2020
• 
  Yuanzhi Yang, Xing Wang, You Chen, Min Hu, Chengwei Ruan:
  A Novel Centrality of Influential Nodes Identification in Complex Networks. IEEE Access 8: 58742-58751 (2020)
• 
  Enyu Yu, Yan Fu, Qing Tang, Jun-Yan Zhao, Duan-Bing Chen:
  A Re-Ranking Algorithm for Identifying Influential Nodes in Complex Networks. IEEE Access 8: 211281-211290 (2020)
• 
  Gouheng Zhao, Peng Jia, Cheng Huang, Anmin Zhou, Yong Fang:
  A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks. IEEE Access 8: 65462-65471 (2020)
• 
  Jie Zhao, Yutong Song, Yong Deng:
  A Novel Model to Identify the Influential Nodes: Evidence Theory Centrality. IEEE Access 8: 46773-46780 (2020)
• 
  Jinfang Sheng, Jiafu Zhu, Yayun Wang, Bin Wang, Zheng'ang Hou:
  Identifying Influential Nodes of Complex Networks Based on Trust-Value. Algorithms 13(11): 280 (2020)
• 
  Nan Zhao, Jingjing Bao, Nan Chen:
  Ranking Influential Nodes in Complex Networks with Information Entropy Method. Complex. 2020: 5903798:1-5903798:15 (2020)
• 
  Xuegong Chen, Jie Zhou, Zhifang Liao, Shengzong Liu, Yan Zhang:
  A Novel Method to Rank Influential Nodes in Complex Networks Based on Tsallis Entropy. Entropy 22(8): 848 (2020)
• 
  Chungu Guo, Liangwei Yang, Xiao Chen, Duanbing Chen, Hui Gao, Jing Ma:
  Influential Nodes Identification in Complex Networks via Information Entropy. Entropy 22(2): 242 (2020)
• 
  Nesrine Hafiene, Wafa Karoui, Lotfi Ben Romdhane:
  Influential nodes detection in dynamic social networks: A survey. Expert Syst. Appl. 159: 113642 (2020)
• 
  Soheila Molaei, Reza Farahbakhsh, Mostafa Salehi, Noël Crespi:
  Identifying influential nodes in heterogeneous networks. Expert Syst. Appl. 160: 113580 (2020)
• 
  Lei Xiao, Shuangyan Wang, Gang Mei:
  Efficient parallel algorithm for detecting influential nodes in large biological networks on the Graphics Processing Unit. Future Gener. Comput. Syst. 106: 1-13 (2020)
• 
  M. Prakash, P. Pabitha:
  A hybrid node classification mechanism for influential node prediction in Social Networks. Intell. Data Anal. 24(4): 847-871 (2020)
• 
  Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
  Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. Int. J. Data Sci. Anal. 9(2): 175-195 (2020)
• 
  Gouheng Zhao, Peng Jia, Anmin Zhou, Bing Zhang:
  InfGCN: Identifying influential nodes in complex networks with graph convolutional networks. Neurocomputing 414: 18-26 (2020)
• 
  Hamid Ahmadi Beni, Asgarali Bouyer:
  TI-SC: top-k influential nodes selection based on community detection and scoring criteria in social networks. J. Ambient Intell. Humaniz. Comput. 11(11): 4889-4908 (2020)
• 
  Bharat A. Tidke, Rupa Mehta, Jenish Dhanani:
  Multimodal ensemble approach to identify and rank top-k influential nodes of scholarly literature using Twitter network. J. Inf. Sci. 46(4) (2020)
• 
  Muluneh Mekonnen Tulu, Mbazingwa Elirehema Mkiramweni, Ronghui Hou, Sultan Feisso, Talha Younas:
  Influential nodes selection to enhance data dissemination in mobile social networks: A survey. J. Netw. Comput. Appl. 169: 102768 (2020)
• 
  Joseph Emerson, Amber Afelin, Viesulas Sliupas, Christian G. Fink:
  Identifying Influential Nodes in a Network Model of Epilepsy. J. Nonlinear Sci. 30(5): 2283-2308 (2020)
• 
  Jianxin Tang, Ruisheng Zhang, Ping Wang, Zhili Zhao, Li Fan, Xin Liu:
  A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks. Knowl. Based Syst. 187 (2020)
• 
  Ahmad Zareie, Amir Sheikhahmadi, Mahdi Jalili, Mohammad Sajjad Khaksar Fasaei:
  Finding influential nodes in social networks based on neighborhood correlation coefficient. Knowl. Based Syst. 194: 105580 (2020)
• 
  Bharat A. Tidke, Rupa Mehta, Jenish Dhanani:
  Consensus-based aggregation for identification and ranking of top-k influential nodes. Neural Comput. Appl. 32(14): 10275-10301 (2020)

skipping 132 more matches