Leveraging a Hierarchical Selection of Communities in Social Networks to Maximize Diffusion-Reference-Cited by-同舟云学术

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Leveraging a Hierarchical Selection of Communities in Social Networks to Maximize Diffusion

Published:2023-05-03 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Web Research (ICWR)
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Author:

Heidari Mohsen¹,Fasahat Mohamad Ali²,Afsharian Sanaz³,Artishdar Parinaz⁴

Affiliation:

1. Esfarayen University,Dept. of Electrical, Computer and Industrial Engineering,North Khorasan,Iran

2. Mehr Alborz Higher Education Institute,Dept. of Computer Science,Tehran,Iran

3. Islamic Azad University, Damavand Branch,English Department,Tehran,Iran

4. Islamic Azad University, Yadegar Emam, Khomeini Branch,Dept. of Software Engineering,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138905/10138951/10139309.pdf?arnumber=10139309

Reference21 articles.

1. PHG: A Three-Phase Algorithm for Influence Maximization Based on Community Structure

2. TI-SC: top-k influential nodes selection based on community detection and scoring criteria in social networks

3. Identification of influential spreaders in complex networks

4. Influence Maximisation in Social Networks Using Neighbourhood Degree Based Vote-Rank Approach

5. Detecting the overlapping and hierarchical community structure in complex networks

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