Abstract
Online Social Networks (OSNs) have found widespread applications in every area of our life. A large number of people have signed up to OSN for different purposes, including to meet old friends, to choose a given company, to identify expert users about a given topic, producing a large number of social connections. These aspects have led to the birth of a new generation of OSNs, called Multimedia Social Networks (MSNs), in which user-generated content plays a key role to enable interactions among users. In this work, we propose a novel expert-finding technique exploiting a hypergraph-based data model for MSNs. In particular, some user-ranking measures, obtained considering only particular useful hyperpaths, have been profitably used to evaluate the related expertness degree with respect to a given social topic. Several experiments on Last.FM have been performed to evaluate the proposed approach’s effectiveness, encouraging future work in this direction for supporting several applications such as multimedia recommendation, influence analysis, and so on.
Highlights
According to the 2018 Global Digital report [1], Internet users exceeded 4 billion people i.e., more than half of the world’s population is online
These aspects have led to the birth of a new generation of Online Social Networks (OSNs), called Multimedia Social Networks (MSNs), in which user-generated content plays a key role to enable interactions among users
We propose a novel expert-finding technique exploiting a hypergraph-based data model for MSNs
Summary
According to the 2018 Global Digital report [1], Internet users exceeded 4 billion people i.e., more than half of the world’s population is online. The evolution of Information and Communication Technologies has enriched OSN features, enabling users to share their interests, tastes, friendships, and behaviors by using multimedia objects, such as text, audio, video, and images The use of such multimedia objects facilitates the interaction of the users with the OSN, since, with them, they can express with more fidelity sentiments, comments, opinions, or feelings related to posted data. Such a new kind of OSN, where users mainly share multimedia objects, is called a Multimedia Social Network (MSN) [5,6].
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