Implicit Social Networking: Discovery of Hidden Relationships, Roles and Communities among Consumers (CROSBI ID 636929)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Podobnik, Vedran ; Lovrek, Ignac
engleski
Implicit Social Networking: Discovery of Hidden Relationships, Roles and Communities among Consumers
This paper proposes the implicit social networking as an innovative methodology for approaching consumers who possess information- rich user profiles based on aplethora of online services they use. An implicit social network is not explicitly built by consumers themselves, but implicitly calculated by third parties based on a level of a common interest between consumers (i.e., profile matchmaking). The analysis of aconsumer social network created in such a manner enables discovery of hidden roles, relationships and communities among consumers and represents a basis for provisioning of innovative services (e.g., personalized and/or context-aware services such as recommender systems). The implicit social networking methodology is evaluated through two pilot cases: (i) implicit social networking based on the SmartSocial platform ; and (ii) implicit social networking of IPTV users. The generalizability of the implicit social networking is demonstrated through additional example aimed not at external company stakeholders (e.g., company consumers), but at internal stakeholders (i.e., company employees) through the implicit corporate social networking pilot case.
user profiles ; consumers ; employees ; matchmaking ; social networking ; social computing ; social network analysis
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
583-592.
2015.
objavljeno
Podaci o matičnoj publikaciji
Procedia Computer Science 60: "Proceedings of the 19th Annual Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2015)"
Singapur: Elsevier
Podaci o skupu
19th Annual Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2015)
predavanje
07.09.2015-09.09.2015
Singapur