Titlebook: Computational Data and Social Networks; 7th International Co Xuemin Chen,Arunabha Sen,My T. Thai Conference proceedings 2018 Springer Natur

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,Sternbilder und überliefertes Wissen, the studied networks are anonymized, where no user profile or sensitive data is available, and (3) the need of scalable algorithms for user linkage task in large-scale social nateworks, and (4) users in social network are interrelated. To resolve these challenges, a noval user linkage framework bas

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Computational Data and Social Networks978-3-030-04648-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-663-05493-1ily life. These social networks not only help users stay in touch with family and friends, but also keep abreast of breaking news and emerging contents. However, in some scenarios, we need to take measures to control or limit the spread of negative information such as rumors. In this paper, we first

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,Heißluft-Sterilisatoren mit Kreislauf,a set of . seed users on a social network to maximize the expected number of influenced nodes. However, most of related works consider only one player without competitors. In this paper, we investigate the Budgeted Competitive Influence Maximization (.) problem within limited budget and time constra

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