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- W4297094620 abstract "Diffusion dynamics is the transfer of information from one node to another. Information diffusion has two goals: maximize or minimize information spread over the network. Attractive information such as innovations, awareness campaigns, branding, and advertising help people positively. However, awful information such as rumors, malicious viruses, pornography, and revenge disturb people. The negative information contributes to chaos; therefore, it must be blocked and inhibited from further diffusion. We are motivated to study the problem, namely <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Influence Minimization</i> . The new information alters the energy level or entropy associated with a node. Entropy quantifies the influence propagation rate across the network. This article proposes two reduction policies that reduce repulsive information’s influence through entropy. We validate the proposed system by considering the user response and surveillance on real-time networks." @default.
- W4297094620 created "2022-09-27" @default.
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- W4297094620 date "2022-01-01" @default.
- W4297094620 modified "2023-10-17" @default.
- W4297094620 title "Influence Minimization With Node Surveillance in Online Social Networks" @default.
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- W4297094620 doi "https://doi.org/10.1109/access.2022.3210126" @default.
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