Pregled bibliografske jedinice broj: 939376
Exploratory analysis of pairwise interactions in online social networks
Exploratory analysis of pairwise interactions in online social networks // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 58 (2018), 4; 422-428 doi:10.1080/00051144.2018.1468162 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 939376 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Exploratory analysis of pairwise interactions in online social networks
Autori
Humski, Luka ; Pintar, Damir ; Vranić, Mihaela
Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 58
(2018), 4;
422-428
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Facebook ; SNA ; feature collection ; online social networks ; synthetic data
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2014-09-2051 - Uporaba metoda i otvorenih tehnologija dubinske analize podataka za unaprijeđenje infrastrukture elektroničkog učenja (eduMINE) (Pintar, Damir, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus