INTERNATIONAL JOURNAL OF ADVANCE RESEARCH
IN MULTIDISCIPLINARY

In this paper, we introduce the ComTector (Com-munity Detector) algorithm, an improvement over previous methods for detecting communities in massive social networks. Evaluation of the spreading impact, description of the node's location, and identification of interaction centralities may all be accomplished using the identification methods of spreading influence nodes.  Recent advances in the field of social network influence node identification algorithms are summarized in this review, with an emphasis on the contributions from physical viewpoints and approaches, such as algorithms based on microstructure, algorithms based on community structure, algorithms based on macrostructure, and algorithms based on machine learning.