A Survey on Feasible Summarization of Dynamic Social Network Data Based on Interestingness Measures |
Author(s): |
| M. Ambika , V.S.B. College of Engineering Technical Campus; G. V. Jayasri, V.S.B. College of Engineering Technical Campus; P. Rinthuja, V.S.B. College of Engineering Technical Campus; U. Swetha, V.S.B. College of Engineering Technical Campus; P. Vigneshkumar, V.S.B. College of Engineering Technical Campus |
Keywords: |
| Interestingness, Summarization, Diffusion process |
Abstract |
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Summarization of dynamic social networks is that collections of each node that communicate between each group, using this summarization data can be collected together in a shorten form. Interestingness measure is implementing the innovative ideas in the project. Some old systems goal is to summarize networks for interesting dynamic pattern. Dynamic networks including time sensitivity, online interestingness evaluation and summary traceability which is used to capturing the some most interesting nodes. By using diffusion radius and scope, we elucidate interestingness measures for dynamic networks and we suggest OSNet, an online summarization framework for dynamic networks. Coherent algorithms are comprised in OSNet. |
Other Details |
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Paper ID: IJSRDV4I120376 Published in: Volume : 4, Issue : 12 Publication Date: 01/03/2017 Page(s): 419-422 |
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