Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections

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Abstract

Information usually spreads between people by the mean of textual documents. During such propagation, a piece of information can either remain the same or mutate. We propose to formulate information spread with a set of time-ordered document chains along which some information has likely been transmitted. This formulation is different from the usual graph view of a transmission process as it integrates a notion of lineage of the information. We also propose a way to construct a candidate set of document chains for the information propagation in a corpus of documents. We show that most of the chains have been judged as plausible by human experts.

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Huyghues-Despointes, C., Khouas, L., Velcin, J., & Loudcher, S. (2019). Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11489 LNAI, pp. 394–399). Springer Verlag. https://doi.org/10.1007/978-3-030-18305-9_35

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