• Akshay Dhumal
• Prashant Bhosale
• Ajay Jogdand
• Aniket Mahajan
• Dr. Brijendra Gupta

As each social network structure and strength of influence between people evolve constantly, it needs to trace the cogent nodes beneath a dynamic setting. To address this downside, The System explore the cogent Node trailing (INT) downside as AN extension to the standard Influence Maximization downside (IM) beneath dynamic social networks. Whereas Influence Maximization downside aims at characteristic a set of k nodes to maximize the joint influence beneath one node or user. INT downside focuses on trailing a group of cogent nodes that keeps maximizing the influence because the network evolves by means that of posts or ads. Utilizing the smoothness of the evolution of the network structure, The System propose AN economical algorithmic rule, edge Interchange Greedy (UBI) and a variant, UBI+. Rather than constructing the seed set from the bottom, this begin from the cogent seed set system realize antecedently and implement node replacement to boost the influence coverage. What is more, the system conjointly focuses on detection of posts for his or her positive or negative views by analyzing the usage history of that posts or ads or product

Social Networks, Community Detection, Influence Maximization.

"SECURE SOCIAL NETWORK: INFLUENTIAL NODE TRACKING USING GREEDY APPROACH ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.274-279, April-2019, Available :http://www.jetir.org/papers/JETIR1904J35.pdf

"SECURE SOCIAL NETWORK: INFLUENTIAL NODE TRACKING USING GREEDY APPROACH ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp274-279, April-2019, Available at : http://www.jetir.org/papers/JETIR1904J35.pdf