Mining Active Influential Nodes for Finding Information Diffusion in Social Networks

2021 ◽  
pp. 245-255
Author(s):  
Ameya Mithagari ◽  
Radha Shankarmani
Keyword(s):  
Social Networks ◽  
Information Diffusion ◽  
Influential Nodes

A community-based approach to identify the most influential nodes in social networks

2016 ◽  
Vol 43 (2) ◽  
pp. 204-220 ◽  
Author(s):  
Maryam Hosseini-Pozveh ◽  
Kamran Zamanifar ◽  
Ahmad Reza Naghsh-Nilchi
Keyword(s):  
Social Networks ◽  
Information Diffusion ◽  
Closeness Centrality ◽  
Centrality Measures ◽  
Community Based ◽  
Spreading Process ◽  
Centrality Measure ◽  
Influence Spread ◽  
The Social ◽  
Influential Nodes

One of the important issues concerning the spreading process in social networks is the influence maximization. This is the problem of identifying the set of the most influential nodes in order to begin the spreading process based on an information diffusion model in the social networks. In this study, two new methods considering the community structure of the social networks and influence-based closeness centrality measure of the nodes are presented to maximize the spread of influence on the multiplication threshold, minimum threshold and linear threshold information diffusion models. The main objective of this study is to improve the efficiency with respect to the run time while maintaining the accuracy of the final influence spread. Efficiency improvement is obtained by reducing the number of candidate nodes subject to evaluation in order to find the most influential. Experiments consist of two parts: first, the effectiveness of the proposed influence-based closeness centrality measure is established by comparing it with available centrality measures; second, the evaluations are conducted to compare the two proposed community-based methods with well-known benchmarks in the literature on the real datasets, leading to the results demonstrate the efficiency and effectiveness of these methods in maximizing the influence spread in social networks.

scholarly journals Extracting Influential Nodes for Maximization Influence in Social Networks

2021 ◽  
Vol 1818 (1) ◽  
pp. 012177
Author(s):  
Zainab Naseem Attuah ◽  
Firas Sabar Miften ◽  
Evan Abdulkareem Huzan
Keyword(s):  
Social Networks ◽  
Influential Nodes

NodeRank: Finding influential nodes in social networks based on interests

2021 ◽  
Author(s):  
Mohammed Bahutair ◽  
Zaher Al Aghbari ◽  
Ibrahim Kamel
Keyword(s):  
Social Networks ◽  
Influential Nodes

Towards Information Diffusion in Mobile Social Networks

2016 ◽  
Vol 15 (5) ◽  
pp. 1292-1304 ◽  
Author(s):  
Zongqing Lu ◽  
Yonggang Wen ◽  
Weizhan Zhang ◽  
Qinghua Zheng ◽  
Guohong Cao
Keyword(s):  
Social Networks ◽  
Information Diffusion ◽  
Mobile Social Networks

SIMiner: A Stigmergy-Based Model for Mining Influential Nodes in Dynamic Social Networks

2019 ◽  
Vol 5 (2) ◽  
pp. 223-237 ◽  
Author(s):  
Weihua Li ◽  
Quan Bai ◽  
Minjie Zhang
Keyword(s):  
Social Networks ◽  
Dynamic Social Networks ◽  
Influential Nodes
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