Naslov
SmartSocial Influence: A Synergy of Telco and Social Data in Identifying Social Network Key Actors

Autori
Smailović, Vanja ; Podobnik, Vedran

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Proceedings of the 2016 Winter Conference on Business Intelligence (WCBI 2016) / - , 2016

Skup
2016 Winter Conference on Business Intelligence (WCBI)

Mjesto i datum
Snowbird, Utah, SAD, 03.03.2016. - 05.03.2016

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
social networking; Facebook; telecommunications; social influence; social network analysis; SmartSocial; user profiles

Sažetak
Today, every person simultaneously participates in numerous social networks which span through various perspectives of our lives – family, friends, hobbies and work – to name just a few. In a networked society where everybody and everything becomes inter-connected, it is very important to be able to identify key actors and key relationships in such a complex multi- layered eco-system. A possible step towards this goal is designing a methodology and implementing algorithms which enable: i) joining multiple relations among actors across different social networks into the single unified social network ; and ii) mining created unified social network for identification of key actors and key relationships. This paper proposes the SmartSocial Platform as a proof-of-concept Information Technology (IT) artefact with described capabilities. In order to not just present the feasibility of an idea, but demonstrate its real-world instantiation, this paper will focus on the specific research challenge of identifying the most influential actors in a social network built through combining relationships among same actors in two different domains. Namely, we will analyze how relationships in the communication domain (which are proxied through real-world mobile phone communication data) correlate with relationships in the social networking service domain (which is proxied through real-world Facebook data).

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Ekonomija

POVEZANOST RADA