Language Processes and Related Statistics in the Posts Associated to Disasters on Social Networks


  • Speranta Cecilia Bolea Institute of Computer Science of the Romanian Academy - Iasi Branch


social networks, disaster, analytics, language statistics, correlative analysis, Zipf’s law, dynamics


This paper provides a detailed and long-period statistics of the use of synonyms in posts related to specific events on social networks (SNs), an extended analysis of the correlations of the flows of the synonyms in such posts, a study of the applicability of Zipf’s law to posts related to specific events on SNs, and an analysis of the dynamics of the fluxes of synonyms in the posts. The paper also introduces the study of the distances in the phase space for the characterization of the dynamics of the word fluxes on social networks. This article is a partial report on recent research performed for a deeper analysis of social networks and of processes developing on social networks, including used lexicon, dynamics of messages related to a specific type of topic, and relationships of the processes on SNs with external events.

Author Biography

Speranta Cecilia Bolea, Institute of Computer Science of the Romanian Academy - Iasi Branch

Senior researcher, group of Natural Language
Processing. Research interests: natural language processing and related applications.


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