Identify Initial Nodes for Spreader in A New Diffusion Model Based on Topology (DBT) in Social Networks-Reference-Cited by-同舟云学术

Identify Initial Nodes for Spreader in A New Diffusion Model Based on Topology (DBT) in Social Networks

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

Khosravi Ehsan¹,Yazdanifar Fatemeh²,Salimi Nikoo³,Beni Hamid Ahmadi⁴

Affiliation:

1. Sharif University of Technology,Dept. of Computer Engineering,Tehran,Iran

2. Amirkabir University of Technology,Dept. of Mathematics and Computer Science,Tehran,Iran

3. Engineering and Naval Architecture University of Genoa,Dept. of the Electrical, Electronics, Electronics and Telecommunication,Genoa,Italy

4. Azarbaijan Shahid Madani University,Dept. of Software Engineering,Tabriz,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138905/10138951/10138958.pdf?arnumber=10138958

Reference27 articles.

1. FIP: A fast overlapping community-based influence maximization algorithm using probability coefficient of global diffusion in social networks

2. DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning;sharma;Intelligent Automation & Soft Computing,2023

3. Scalable Influence Maximization in Social Networks under the Linear Threshold Model

4. Time-critical influence maximization in social networks with time-delayed diffusion process;chen;Twenty-Sixth AAAI Conference on Artificial Intelligence,2012

5. Solving the influence maximization problem by using entropy and weight of edges

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