ROMJIST Volume 20, No. 3, 2017, pp. 286-298
Mironela PIRNAU Analysis of data volumes circulating in SNs after the occurrence of an earthquake
ABSTRACT: The paper presents a statistical analysis of the message flow on Twitter, related to earthquakes during certain periods of time after the occurrence of major earthquakes. Tweets were collected shortly after earthquakes in August and October 2016, in order to identify correlations among the content of the tweets in a disaster situation. The streams of collected tweets have been analyzed with Data Mining algorithms. The aim of this work is to identify modes of communication between the Twitter users in earthquake situations, and to analyze the word correlation found in the message exchanges during a disaster situation. The paper contributes to the understanding of communication patterns on social networks during and after disasters.KEYWORDS: tweets; earthquake; #terremoto; Data Mining; Social MediaRead full text (pdf)