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A Method for Computing Social Rank and Relationship Strength over a Networking Platform | IEEE Conference Publication | IEEE Xplore

A Method for Computing Social Rank and Relationship Strength over a Networking Platform


Abstract:

Social network analysis is a large and dynamic domain composed of numerous interlinked research directions. Many of them give priority to node computations and consider, ...Show More

Abstract:

Social network analysis is a large and dynamic domain composed of numerous interlinked research directions. Many of them give priority to node computations and consider, as a measure of their importance, node centrality. We present in this paper a more complete and flexible social media content ranking scheme, based on the computation of Social Rank and Relationship Strength between pairs of users in a social network. Capturing the semantics of every edge (targeted by the latter computations) proved to offer a greater chance of producing accurate results. In terms of data modelling, Neo4j, the most popular graph database, was chosen for its analytical capabilities. We demonstrated our approach against a real Facebook dataset. The scheme could be adapted for the specifics of any dataset and can easily be extended to support new interactions or even other platforms. As further validating the model would require access to ground-truth-labelled data that is difficult to obtain, there are certain limitations in our work.
Date of Conference: 10-12 October 2024
Date Added to IEEE Xplore: 11 November 2024
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Conference Location: Sinaia, Romania

References

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