Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2018.1468162
Exploratory analysis of pairwise interactions in online social networks
Luka Humski
; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
Damir Pintar
; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
Mihaela Vranić
; University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
Sažetak
In the last few decades sociologists were trying to explain human behaviour by analysing social networks, which requires access to data about interpersonal relationships. This represented a big obstacle in this research field until the emergence of online social networks (OSNs), which vastly facilitated the process of collecting such data. Nowadays, by crawling public profiles on OSNs, it is possible to build a social graph where “friends” on OSN become represented as connected nodes. OSN connection does not necessarily indicate a close real-life relationship, but using OSN interaction records may reveal real-life relationship intensities, a topic which inspired a number of recent researches. Still, published research currently lacks an extensive exploratory analysis of OSN interaction records, i.e. a comprehensive overview of users’ interaction via different ways of OSN interaction. In this paper, we provide such an overview by leveraging results of conducted extensive social experiment which managed to collect records for over 3200 Facebook users interacting with over 1,400,000 of their friends. Our exploratory analysis focuses on extracting population distributions and correlation parameters for 13 interaction parameters, providing valuable insight into OSN interaction for future researches aimed at this field of study.
Ključne riječi
SNA; synthetic data; online social networks; Facebook; feature collection
Hrčak ID:
203412
URI
Datum izdavanja:
18.6.2018.
Posjeta: 935 *