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Naaz, Roohie
- Rethinking Audience Clustering in Sports Market using Gossip Protocol
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Authors
Affiliations
1 Department of Computer Science and Engineering, National Institute of Technology, Srinagar, IN
2 Department of Computer Science and Engineering, NIT Srinagar, IN
1 Department of Computer Science and Engineering, National Institute of Technology, Srinagar, IN
2 Department of Computer Science and Engineering, NIT Srinagar, IN
Source
International Journal of Computer Networks and Applications, Vol 5, No 6 (2018), Pagination: 70-77Abstract
Analytics and inferences have found their place in all the business domains varying from large-scale businesses with criticality to small scale business with less criticality. Sports are considered to be big business in its aspects like amount of money spent on it but in its other version like number of people associated with it, it is comparatively a small industry. Sports analytics have changed their dimension both in the manner they are thought about and number of participation from scientific society that grew over the years. Contribution from analytics is being looked from by sports management to enhance various industries associated to it. The authors realize that sports industry is a close, strongly connected group that is very similar in its behavior to a social network. The authors propose a graph theoretic model in context of sports analytics that presents preliminary study of using gossip protocol for sharing information among members of sports oriented social network.
Keywords
Clustering, Gossip Protocol, Sports, Social Network.Full Text
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