Intelligent Social Networks Model Based On Semantic Tag Ranking
Intelligent Social Networks Model Based On Semantic Tag Ranking
Date
2018-09-05
Authors
Hamamerh, Rushdi
Awad, Sameh
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Social Networks has become one of the most popular platforms to allow users to communicate, and share
their interests without being at the same geographical location. With the great and rapid growth of Social
Media sites such as Facebook, LinkedIn, Twitter…etc. causes huge amount of user-generated content.
Thus, the improvement in the information quality and integrity becomes a great challenge to all social
media sites, which allows users to get the desired content or be linked to the best link relation using
improved search / link technique. So introducing semantics to social networks will widen up the
representation of the social networks.
In this paper, a new model of social networks based on semantic tag ranking is introduced. This model is
based on the concept of multi-agent systems. In this proposed model the representation of social links will
be extended by the semantic relationships found in the vocabularies which are known as (tags) in most of
social networks.The proposed model for the social media engine is based on enhanced Latent Dirichlet
Allocation(E-LDA) as a semantic indexing algorithm, combined with Tag Rank as social network ranking
algorithm. The improvements on (E-LDA) phase is done by optimizing (LDA) algorithm using the optimal
parameters. Then a filter is introduced to enhance the final indexing output. In ranking phase, using Tag
Rank based on the indexing phase has improved the output of the ranking. Simulation results of the
proposed model have shown improvements in indexing and ranking output.
Description
Keywords
SocialNetwork, Multi-Agent Systems, Semantic Indexing, Tag Rank, LDA, E-LDA
Citation
TY - JOUR AU - Hamamreh, Rushdi AU - Awad, Sameh PY - 2018/07/30 SP - 01 EP - 12 T1 - Intelligent Social Networks Model Based on Semantic Tag Ranking VL - 9 DO - 10.5121/ijwest.2018.9301 JO - International journal of Web & Semantic Technology ER -