Arooj Arshad
FAST
· 2020
·
i16 - 0300
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Academic
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Year
2020
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Career
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Skills
Eclipse, SNAP, Data Mining Techniques, Java, Graph Stream
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
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Mining Dynamic Social Networks Our final year project is a research and development (R & D) project. There are large number of social networks that are operating in this technologic world for example Facebook, Instagram and Yahoo. Data is coming from these networks in bulks and in larger capacity in two forms. One is static and the other dynamic. Our major focus is on the dynamic data of these networks. This data forms large, dynamic graphs over a passage of time. We first try to summarize these graphs using multiple data mining techniques into smaller ones and then try to find in them the different patterns of connectivity for example star, clique, chain and bipartite. We also try to find similar patterns on different time steps in order to prove that similar people do meet one another on various intervals. Features include: A graphic user interface (GUI) which shows two sections: one for input data and other for the summarized graph with the depiction of different patterns. \
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdfFrom job #23 page 206
Created: 1778226103