Hybrid Social Networking Application for a University Community

TL;DR

This paper presents a hybrid social networking system for university communities that integrates semantic ontologies and multiple frameworks to enhance social interaction and location-based services.

Contribution

It introduces a novel hybrid social network system combining semantic ontologies and multiple frameworks tailored for university communities.

Findings

High matching accuracy for users with similar interests

Effective location-based services within the campus

Enhanced social interaction features

Abstract

A hybrid social network for building social communities for a university community is presented. The system employed the semantic ontology for an offline/online social network site (SNS). It captures the core features of an SNS including profile creation, friend invite/search, group formation, chatting/messaging, blogging and voting. Three core frameworks - the peer2me framework, SMSN semantic mobile social network and Peoplepods framework were considered in the implementation phase. The results show remarkable matching performance for prosumers with similar interests with relevance close to unity. The social network was able to capture the needs of the university students by serving as a handy direction to popular locations within the campus.