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• W2888392090 abstract "This paper describes a new approach of viewing a social relation as a string with various forces acting on it. Accordingly, a tension measure for a relation is defined. Various component forces of the tension measure are identified based on the structural information of the network. A new variant of rough set, namely, double bounded rough set, is developed in order to define these forces mathematically. It is revealed experimentally with synthetic and real-world data that positive and negative tension characterizes, relatively, the presence and absence of a physical link between two nodes. An algorithm based on tension measure is proposed for link prediction. Superiority of the algorithm is demonstrated on nine real-world networks, which include four temporal networks. The source code for calculating tension measure and link prediction algorithm is publicly available at https://gitlab.com/suman5/social-tension-measure." @default.
• W2888392090 created "2018-08-31" @default.
• W2888392090 creator A5006093797 @default.
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• W2888392090 date "2018-09-01" @default.
• W2888392090 modified "2023-10-16" @default.
• W2888392090 title "Double Bounded Rough Set, Tension Measure, and Social Link Prediction" @default.
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• W2888392090 doi "https://doi.org/10.1109/tcss.2018.2861215" @default.
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