An Unsupervised Anomaly Detection Model for Weighted Heterogeneous Graph

Maryam Khazaei; Nosratali Ashrafi-Payaman

Articles in Press, Accepted Manuscript, Available Online from 31 May 2023

  Nowadays, whereas the use of social networks and computer networks is increasing, the amount of associated complex data with graph structure and their applications, such as classification, clustering, link prediction, and recommender systems, has risen significantly. Because of security problems and ...  Read More

DINGA: A Genetic-algorithm-based Method for Finding Important Nodes in Social Networks

H. Rahmani; H. Kamali; H. Shah-Hosseini

Volume 8, Issue 4 , November 2020, , Pages 545-555

  Nowadays, a significant amount of studies are devoted to discovering important nodes in graph data. Social networks as graph data have attracted a lot of attention. There are various purposes for discovering the important nodes in social networks such as finding the leaders in them, i.e. the users who ...  Read More