Provenance of Explicit and Implicit Interactions on Social Media with W3C PROV-DM

作者: Io Taxidou , Tom De Nies , Peter M. Fischer

DOI: 10.1007/978-3-030-34407-8_7

关键词:

摘要: In recent years, research in information diffusion social media has attracted a lot of attention, since the data produced is fast, massive and viral. The provenance such equally important because it helps to judge relevance trustworthiness enclosed data. However, currently provide insufficient mechanisms for provenance, while models use their own concepts notations, targeted specific cases. this paper, we present extend our model based on W3C PROV Data Model. provides Web-native interoperable format that allows easy publication data, minimizes integration effort among different systems making PROV. We computational methods reconstruction user interactions investigation human behaviour media.

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