Prediction optimization of diffusion paths in social networks using integration of ant colony and densest subgraph algorithms-Reference-Cited by-同舟云学术

Prediction optimization of diffusion paths in social networks using integration of ant colony and densest subgraph algorithms

Author:

Majbouri Yazdi Kasra¹,Majbouri Yazdi Adel²,Khodayi Saeid³,Hou Jingyu¹,Zhou Wanlei⁴,Saedy Saeed⁵,Rostami Mehrdad⁶

Affiliation:

1. School of Information Technology, Deakin University, Australia. E-mails: kmajbour@deakin.edu.au, jingyu.hou@deakin.edu.au

2. Department of Computing, Kharazmi University, Iran. E-mail: majbourii.adel@gmail.com

3. Faculty of Computer & Electrical Engineering, Qazvin Islamic Azad University, Iran. E-mail: s.khodayi20@gmail.com

4. School of Software, University of Technology Sydney, Australia. E-mail: wanlei.zhou@uts.edu.au

5. Faculty of Engineering, Khavaran Higher Education Institute, Iran. E-mail: s.saedy@hotmail.com

6. Faculty of Computer Engineering, University of Kurdistan, Sanandaj, Iran. E-mail: me.rostami@gmail.com

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference43 articles.

5. C.M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006. ISBN 978-0-387-31073-2.

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