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GSOC 2016 PROJECT

Local Community Detection Search Using a Conceptual View

Rogas is based on a conceptual view of network analytics, where two families of topological constructs have been introduced and implemented for...

Contributor
Omid Rezvani
Mentor
Qing
Program
GSoC 2016Completed

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Description from the program archive

<p>Rogas is based on a conceptual view of network analytics, where two families of topological constructs have been introduced and implemented for network analytics query processing. The two constructs introduced in Rogas are: CLUSTER-BY and RANK-BY, which play an important role in analyzing the topological structure that lies beneath based entities and relationships. However, local community search queries are still needed in Rogas framework. In a local community search query, the objective is to find the communities that are associated with a given set of query vertices. Implementation of local community search functionality needs careful modeling into NAER model as well.</p> <p>The proposed project aims at adding the local community search functionality into Rogas. This makes Rogas a more general framework that covers a broader range of network analytics applications. Moreover, this project aims at implementing and instantiation of three local community detection techniques chosen from the state-of-the-art ones in the field of network analytics. This can bring Rogas a new level of functionality with a more detailed coverage of network analytics applications.</p>

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Data: Google Summer of Code public archive. This project in the official archive