rumor in social networks
Rumor Spreading in Vehicular Social Networks
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Regarding vehicles as social objects is justifiable, since, they have been intelligent. The transportation systems have positively changed due to this vehicular advance technology. Nowadays, vehicles can interact with each other using wireless transceiver devices
A Novel Approach for Dynamic Rumor Influence Minimization in Social Networks
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With the quick advancement of big scale on-line social networks , on-line information sharing is getting to be inescapable day by day. Various information is proliferating through on-line social networks also as each the constructive and antagonistic. All through this paper, we
Minimization of Dynamic Rumor Influence with User Experience in Social Networks
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With the quick advancement of enormous scale on-line social networks , on-line information sharing is getting to be plainly ubiquitous day by day. Various information is engendering through on-line interpersonal networks likewise as each the constructive and antagonistic
Rumor Detection in Social Networks via Deep Contextual Modeling
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Fake news and rumors constitute a major problem in social networks recently. Due to the fast information propagation in social networks , it is inefficient to use human labor to detect suspicious news. Automatic rumor detection is thus necessary to prevent devastating effects
Rumor spreading in gaming social networks
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Understanding the emergence of rumor is a fundamental problem in social science. In the past decade, to further understand the general principles in rumor spreading [1 6] on social networks , researchers investigate the rumor spreading on many typical models, eg
The Twitter Rumor Network : Subject and Sentiment Cascades in a Massive Online Social Network
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As social creatures, human beings base their decisions not only on their personal goals and motives, but also largely take into account the decisions of those around them. The tendency of individuals to base their decisions on the decisions of others in a group leads to a
DETECTING ROOT OF THE RUMOR IN SOCIAL NETWORK USING GSSS
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Detecting source of the rumor in social network plays a role in limiting the damage caused by them. However rumor spreading in social network to a shorter distance only can be identified by using some of the methodologies. In this paper, we introduce a concept to
Detection and Minimization Influence of Rumor in Social Network
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With the fast development of big scale on-linesocial networks, on-line data sharing is becoming omnipresent daily. Numerous info is propagating through on-line social networks similarly as every the positive and negative. Throughout this paper, we tend to tend to focus
Detection and Minimization Influence of Rumor in Social Network
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With the fast development of big scale on-line social networks, on-line data sharing is becoming omnipresent daily. Numerous info is propagating through on-line social networks similarly as every the positive and negative. Throughout this paper, we tend to tend to focus
Rumor Influence Detection and Minimization in Social Network
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With the quick advancement of huge scale on-line social network , on-line information sharing is getting to be ubiquitous every day. Various data is engendering through on-line social network comparably as each the positive and negative. All through this paper, we
Detection and Minimization of Rumor Influence in Social Network
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With the fast development of big scale on-line social networks, on-line data sharing is becoming omnipresent daily. numerous info is propagating through online social networks similarly as every the positive and negative. Throughout this paper, we tend to tend to focus
Analysis on the typical phenomena in the network public opinion rumor dissemination based on social network fluctuation principle
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The continuous improvement of social network technology brings unprecedented impetuses and opportunities to the social development and provides mass communication provides a powerful media platform. Network construction by using data mining verifies the powerful
Social Network Analysis Investigation of identification of effective nodes in the rumor distribution in the social network
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Today, Internet communications have been expanded and virtual social networks have grown dramatically. Different communities have been formed on social networks. For security applications and identifying user identities, recognizing an effective node in social