Leveraging Web Intelligence for Information Cascade Detection in Social Streams

Abstract : In this paper, we present an approach for investigating information cascades in social and collaborative networks. The proposed approach seeks to improve methods limited to the detection of paths through which merely exact content-tokens are propagated. For this sake, we adopt to leverage web intelligence to the purpose of discovering paths that convey exact content-tokens cascades, as well as paths that convey concepts or topics related to these content-tokens. Indeed, we mine sequence of actors involved in cascades of keywords and topics extracted from their posts, using simple to use restful APIs available on the web. For the evaluation of the approach, we conduct experiments based on assimilating a scientific collaborative network to a social network. Our findings reveal the detection of missed information when using merely exact content propagation. Moreover, we noted that the vocabulary of actors is preserved mostly in short cascades, where topics become a better alternative in long cascades.
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Conference papers
Abdelmalek Amine; Malek Mouhoub; Otmane Ait Mohamed; Bachir Djebbar. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-522, pp.56-65, 2018, Computational Intelligence and Its Applications. 〈10.1007/978-3-319-89743-1_6〉
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Submitted on : Tuesday, November 6, 2018 - 5:02:50 PM
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Mohamed Nait-Hamoud, Fedoua Didi, Abdelatif Ennaji. Leveraging Web Intelligence for Information Cascade Detection in Social Streams. Abdelmalek Amine; Malek Mouhoub; Otmane Ait Mohamed; Bachir Djebbar. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-522, pp.56-65, 2018, Computational Intelligence and Its Applications. 〈10.1007/978-3-319-89743-1_6〉. 〈hal-01913877〉

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