EC Bednets A Novel Deep Learning Framework for Recognizing Influential Spam Users in Social Media Networks Using Rin Moga Method

Abstract

In topical time, social media networks are deep-rooted in communal life and play an essential role in metamorphosing human life. The social media networks play an imperative role in the distribution of vivacious information among the social users. In social media networks, the users have a higher effect by giving their peculiar social characteristics, contents, and locations. The users who distribute more facts and information are considered the Influential, and they take the vibrant roles than others in the social media networks. newlineThe research of social media networks in the field of marketing, education, and organization targets finding the users with more influence and distributing the content that creates a greater impact on the social media. The impact is more because of its features and also its great significance in many applications such as big data analysis, electrical field, advertising field, and stem cell therapy. The key research is to find the vital users (nodes) who govern the other users (nodes) in terms of spreading the unauthentic news, unverified facts, and falsified information newline