Results 191 to 200 of about 28,536 (223)

Influential nodes selection

Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014
Influence maximization is the problem of finding a set of seed nodes in social network for maximizing the spread of influence. Traditionally, researchers view influence propagation as a stochastic process and formulate the influence maximization problem as a discrete optimization problem.
Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen   +3 more
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Identifying influential nodes in heterogeneous networks

Expert Systems with Applications, 2020
Abstract Identifying influential users and measure the influence of nodes in social networks have become an interesting and important topic of research. It is crucial to find out to what extent individuals influence each other because it can be used to control rumors, diseases, and diffusion. There are numerous relevant models most of which are based
Soheila Molaei, Reza Farahbakhsh, Mostafa Salehi, Noel Crespi   +3 more
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Influential Nodes in Social Networks

2020
Social network is the perfect place for connecting people. The social network is a social structure formed by a set of nodes (persons, organizations, etc.) and a set of links (connection between nodes). People feel very comfortable to share news and information through a social network.
Kousik Das, Rupkumar Mahapatra, Sovan Samanta, Anita Pal   +3 more
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Identifying influential nodes in complex networks: A node information dimension approach

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2018
In the field of complex networks, how to identify influential nodes is a significant issue in analyzing the structure of a network. In the existing method proposed to identify influential nodes based on the local dimension, the global structure information in complex networks is not taken into consideration.
Bian, Tian, Deng, Yong
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Discovering influential nodes from trust network

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
The goal of viral marketing is that, by the virtue of mouth to mouth word spread, a small set of influential customers can influence more customers. Influence maximization (IM) task is used to discover such influential nodes (or customers) from a social network.
Sabbir Ahmed, C. I. Ezeife
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Pricing influential nodes in online social networks

Proceedings of the VLDB Endowment, 2020
Influential nodes with rich connections in online social networks (OSNs) are of great values to initiate marketing campaigns. However, the potential influence spread that can be generated by these influential nodes is hidden behind the structures of OSNs, which are often held by OSN providers and unavailable to advertisers for privacy concerns.
Yuqing Zhu, Jing Tang, Xueyan Tang
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Finding influential nodes in bus networks

International Journal of Modern Physics B, 2018
Finding influential nodes is of significance to understand and control the spreading capacity of complex systems. This paper aims to find influential nodes of bus networks by a proposed node failure process. Network efficiency and average transfer times are used to measure the performance of bus networks.
Hui Zhang, Baiying Shi, Xiaohua Yu, Meiling Li, Shuguang Song, Quanman Zhao, Xiangming Yao, Wei Wang   +7 more
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Discovering Influential Nodes for Viral Marketing

2009 42nd Hawaii International Conference on System Sciences, 2009
High cost and uncertainty are problems of marketing. Influential online product reviews are more powerful than firm’s advertisements. The key of viral marketing is to discover the viruses for efficiently spreading product impressions. In this paper, a model combined with mining techniques and adaptive RFM is proposed to evaluate the influential power ...
null Yung-Ming Li, null Cheng-Yang Lai, null Chia-Hao Lin   +2 more
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Improved influential nodes identification in complex networks

Journal of Intelligent & Fuzzy Systems, 2021
Influential node identification plays an important role in optimizing network structure. Many measures and identification methods are proposed for this purpose. However, the current network system is more complex, the existing methods are difficult to deal with these networks.
Dong, Shi, Zhou, Wengang
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Identifying influential nodes in social networks: A voting approach

Chaos, Solitons & Fractals, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Panfeng Liu, Longjie Li, Shiyu Fang, Yukai Yao   +3 more
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