Revealing the structure of domain specific tweets via complex networks analysis (CROSBI ID 635898)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Močibob, Edvin ; Martinčić-Ipšić, Sanda ; Meštrović, Ana
engleski
Revealing the structure of domain specific tweets via complex networks analysis
In this paper we explore the relation between different groups of tweets using complex network analysis and link prediction. The tweets were collected via the Twitter API depending on their textual content. That is, we searched for the tweets in English language containing specific predefined keywords from different domains. From the gathered tweets a complex network of words was formed as a weighted network. Nodes represent words and a link between two nodes exists if these two words co-occur in the same tweet, while weight denotes the co-occurrence frequency. The Twitter search was repeated for four different search criteria (API queries based on different tweet keywords), thus resulting in four networks with different nodes and links. The resulting networks were subjects to further network analysis, as comparison of numerical properties for different networks and link prediction for individual networks. This paper shows the tweet scraping process, our approach to building the networks, the measures we calculated for them, the differences and similarities between different networks we built and our success in predicting future links.
eighted complex networks ; tweets ; link prediction ; tweet polarity
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1904-1908.
2016.
objavljeno
10.1109/MIPRO.2016.7522398
Podaci o matičnoj publikaciji
39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016
Biljanović, Petar
Opatija: Institute of Electrical and Electronics Engineers (IEEE)
978-953-233-087-8
Podaci o skupu
MIPRO 2016
predavanje
30.05.2016-03.06.2016
Opatija, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo