Extracting Cultural Similarities from Social Networks Data Using Topic Detection Techniques<br/>

Please enable javascript in your browser.

Extracting Cultural Similarities from Social Networks Data Using Topic Detection Techniques

505 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49898 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Habibi, Jafar
Abstract:
With the widespread usage of the internet among all layers of societies and the fast growth of social networks’ impact, researchers found a new source to study people’s habits, interests and culture. In order to combine these two important aspects of social networks, we used data from social networks to perform a cross-cultural study. The proposed method includes steps of gathering data from twitter, automatic classification of tweets into news categories and calculating cultural distance and cultural similarities from the overall distribution of tweets among the selected classes. By applying the proposed method on a sample of tweets in 2016, we examined the overall tendencies of users of thirteen countries toward the major news categories. Correlation analysis shows connections between the overall tweeting behavior of users and other cultural scores, and confirms our framework and its findings by showing a positive correlation between the cultural distances computed based on our results and results of previous studies
Keywords:
Text Classification ; Social Networks ; Network Analysis ; Cross Cultural Studies ; Cultural Similarities

No TOC