TY - GEN
T1 - In the search of quality influence on a small scale – Micro-influencers discovery
AU - Rakoczy, Monika Ewa
AU - Bouzeghoub, Amel
AU - Lopes Gancarski, Alda
AU - Wegrzyn-Wolska, Katarzyna
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Discovery and detection of different social behaviors, such as influence in on-line social networks, have drawn much focus in the current research. While there are many methods tackling the issue of influence evaluation, most of them base on the underline assumption that a large audience is indispensable for an influencer to have much impact. However, in many cases, users with smaller but highly involved audience still are highly impactful. In this work, we target a novel problem of finding micro-influencers – exactly those users that have much influence on others despite of a limited range of followers. Therefore, we propose a new concept of micro-influencers in the context of Social Network Analysis, define the notion and present a flexible method aiming to discover them. The approach is tested on two real-world datasets of Facebook [24] and Pinterest [31]. The established results are promising and demonstrate the usefulness of the micro-influencer-oriented approach for potential applications.
AB - Discovery and detection of different social behaviors, such as influence in on-line social networks, have drawn much focus in the current research. While there are many methods tackling the issue of influence evaluation, most of them base on the underline assumption that a large audience is indispensable for an influencer to have much impact. However, in many cases, users with smaller but highly involved audience still are highly impactful. In this work, we target a novel problem of finding micro-influencers – exactly those users that have much influence on others despite of a limited range of followers. Therefore, we propose a new concept of micro-influencers in the context of Social Network Analysis, define the notion and present a flexible method aiming to discover them. The approach is tested on two real-world datasets of Facebook [24] and Pinterest [31]. The established results are promising and demonstrate the usefulness of the micro-influencer-oriented approach for potential applications.
KW - Influence
KW - Micro-influence
KW - Social Network Analysis
KW - Social scoring
UR - https://www.scopus.com/pages/publications/85055947321
U2 - 10.1007/978-3-030-02671-4_8
DO - 10.1007/978-3-030-02671-4_8
M3 - Conference contribution
AN - SCOPUS:85055947321
SN - 9783030026707
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 138
EP - 153
BT - On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences
A2 - Roman, Dumitru
A2 - Ardagna, Claudio Agostino
A2 - Meersman, Robert
A2 - Panetto, Hervé
A2 - Debruyne, Christophe
A2 - Proper, Henderik A.
PB - Springer Verlag
T2 - Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018
Y2 - 22 October 2018 through 26 October 2018
ER -