About the paper
| Title |
Proof of Concept for Comparison and Classification of Online Social Network Friends Based on Tie Strength Calculation Model |
| Book |
ICIST 2016 Proceedings |
| Pages |
159-164 |
| Abstract: Facebook, the popular online social network, is
used on daily basis by over 1 billion people each day. Its
users use it for message exchange, sharing photos,
publishing statuses etc. Recent research shows that a
possibility exists of determining the connection level (or
strength of their friendship, tie strength) between users
based on analyzing their interaction on Facebook. The aim
of this paper is to explore, as a proof of concept, the
possibility of using a model for calculating strength of
friendship to compare and classify ego-user’s Facebook
friends. A survey, which involved more than 2500 people
and collected a significant amount of data, was conducted
through a developed web application. Analysis of collected
data revealed that the model can determine with a high level
of accuracy the stronger connections of ego-user and classify
ego-user’s friends into several groups according to the
estimated strength of their friendship. Conducted research
is the base for creating an enriched social graph – graph
which shows all kinds of relations between people and their
intensity. Results of this research have plenty of potential
uses, one of which is specifically improvement of the
education process, especially in the segment of e-learning. |
Full citation
Ilić, J.,
Humski, L.,
Pintar, D.,
Vranić, M.,
Skočir, Z.
Proof of Concept for Comparison and Classification of Online Social Network Friends Based on Tie Strength Calculation Model. In:
Konjović, Z.,
Zdravković, M.,
Trajanović, M.
(Eds.)
ICIST 2016 Proceedings, pp.159-164, 2016
Keywords
Machine learning
Social networks