International Symposium on Telecommunication (IST)

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Identification and Analysis of Information Dissemination on Social Networks with a Focus on Instagram

Authors :

Ahmad Ghasemi¹ Zohreh Mafi² Mojtaba Mazoochi³

1- Department of Management North Tehran Branch, Islamic Azad University Tehran, Iran 2- Iran Telecom Research Center (ITRC) 3- Iran Telecom Research Center (ITRC)

Keywords :

social networks،Information Dissemination،Graph Models،machine learning،Instagram Network،Source Detection

Abstract :

Social networks play a crucial role in the transmission and dissemination of information within society. Analyzing information dissemination can help identify primary sources of information and understand how it spreads. Recognizing key and influential users in social networks can assist marketing managers in delivering their messages more effectively. This paper uses graph models and machine learning methods to identify, examine, and analyze key points of information dissemination on the Instagram social network. The results indicate that by conducting a thorough analysis of social networks, effective patterns of information dissemination can be identified, which are highly beneficial for optimizing marketing and communication strategies. Additionally, this paper presents various methods for analyzing and predicting information dissemination.