Pregled bibliografske jedinice broj: 589301
How to Calculate Trust between Social Network Users?
How to Calculate Trust between Social Network Users? // Proceedings of the 20th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2012)
Split: Institute of Electrical and Electronics Engineers (IEEE), 2012. str. 1-1 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 589301 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
How to Calculate Trust between Social Network Users?
Autori
Podobnik, Vedran ; Štriga, Darko ; Jandras, Ana ; Lovrek, Ignac
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 20th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2012)
/ - Split : Institute of Electrical and Electronics Engineers (IEEE), 2012, 1-1
ISBN
978-953-290-035-4
Skup
The 20th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2012)
Mjesto i datum
Split, Hrvatska, 11.09.2012. - 13.09.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
social network ; Facebook ; trust ; social recommender ; closest friends
Sažetak
Trust among users in a social network plays an important role when trying to build a social recommender system. To be able to calculate who- trusts-whom and implement that knowledge in the social recommender, it is crucial to examine in detail all possible relations between users in the social network and to evaluate those relations properly. We propose a model to transform a single user’s social graph from a binary structure to a structure with the concrete weights between the nodes in a graph. This paper first addresses a question of how can a general model for calculating trust be implemented using a specific social network as a medium (i.e., Facebook). Afterwards, the proposed model is verified through a Facebook application named “Closest Friends”, which calculates the user’s closest friends on the Facebook social network. Finally, our approach has been evaluated with the experiment among the 150 Facebook users who tested “Closest Friends” application.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Ekonomija
POVEZANOST RADA
Projekti:
036-0362027-1639 - Isporuka sadržaja i pokretljivost korisnika i usluga u mrežama nove generacije (Matijašević, Maja, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb