Discovering Most Significant News Using Network Science Approach

Autor: Vassil Alexandrov, Ilya Blokh
Rok vydání: 2015
Předmět:
Zdroj: ICCS
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ISSN: 1877-0509
DOI: 10.1016/j.procs.2015.05.400
Popis: The role of social network mass media has increased greatly in the recent years. In this paper we investigate news publication in Twitter based on Network Science approach. We analyzed news data posted using the most popular media sources to discover the most significant news over a given period of time. Significance is a qualitative property that reflects the degree of news impact on society and public opinion. We have attempted to define the threshold of significance and discover a number of news which had some significance for society in period of time from July 2014 to January 2015.
Databáze: OpenAIRE
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