Abstract
In this paper we aim at analyzing the scope of an entity in Twitter. In particular, we want to define a framework for measuring this scope from multiple viewpoints (e.g., influence, reliability, popularity) simultaneously and for multiple entities (e.g., users, hashtags). In this way, we can compare different properties and/or different entities. This comparison allows the extraction of knowledge patterns (for instance, the presence of anomalies and outliers) that can be exploited in several application domains (for example, information diffusion).
This work was partially supported by Aubay Italia S.p.A.
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Leggio, D., Marra, G., Ursino, D. (2014). Defining and Investigating the Scope of Users and Hashtags in Twitter. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_41
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DOI: https://doi.org/10.1007/978-3-662-45563-0_41
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