TY - GEN
T1 - Users views on others – Analysis of confused relation-based terms in social network
AU - Rakoczy, Monika
AU - Bouzeghoub, Amel
AU - Wegrzyn-Wolska, Katarzyna
AU - Lopes, Alda Gancarski
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Nowadays, online social networks are used everywhere. Thus, areas such as social network analysis or recommender systems are currently very important. Roles related to relations between users, concerning influential, trusted or popular individuals are known to be crucial in these areas. While the significance of such roles is undeniable, the terms connected to these roles are not precisely specified and generally confused. In this article, we focus on the roles of users connected to terms trust, reputation, influence and popularity in the scope of social network analysis and social recommendations.We analyze existing works using these roles in order to compare and contrast their interpretations. We emphasize the most important features that the definitions of these notions should include and make the comparative analysis of the most often confused terms: trust vs reputation, and influence vs popularity. We also present the notions global classification concerning their abstract level, define the terms and distinguish them from one another.
AB - Nowadays, online social networks are used everywhere. Thus, areas such as social network analysis or recommender systems are currently very important. Roles related to relations between users, concerning influential, trusted or popular individuals are known to be crucial in these areas. While the significance of such roles is undeniable, the terms connected to these roles are not precisely specified and generally confused. In this article, we focus on the roles of users connected to terms trust, reputation, influence and popularity in the scope of social network analysis and social recommendations.We analyze existing works using these roles in order to compare and contrast their interpretations. We emphasize the most important features that the definitions of these notions should include and make the comparative analysis of the most often confused terms: trust vs reputation, and influence vs popularity. We also present the notions global classification concerning their abstract level, define the terms and distinguish them from one another.
KW - Influence
KW - Popularity
KW - Recommender systems
KW - Reputation
KW - Social network analysis
KW - Social networks
KW - Trust
U2 - 10.1007/978-3-319-48472-3_9
DO - 10.1007/978-3-319-48472-3_9
M3 - Conference contribution
AN - SCOPUS:84995934846
SN - 9783319484716
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 155
EP - 174
BT - On the Move to Meaningful Internet Systems
A2 - Dillon, Tharam
A2 - Debruyne, Christophe
A2 - Oâ’Sullivan, Declan
A2 - Panetto, Herve
A2 - Kuhn, Eva
A2 - Ardagna, Claudio Agostino
A2 - Meersman, Robert
PB - Springer Verlag
T2 - Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016
Y2 - 24 October 2016 through 28 October 2016
ER -