Affiliation:
1. Jaypee Institute of Information Technology, India
Abstract
Over the last decade, technology has thrived to provide better, quicker, and more effective platforms to help individuals connect and disseminate information to other individuals. The increasing popularity of these networks and its huge content in the form of text, images, and videos provides new opportunities for data analytics in the context of social networks. This motivates data mining experts and researchers to deploy various mining apparatus and application-specific tools for analysing the massive, intricate, and dynamic social media knowledge. The research detailed in this chapter would entail major social network concepts with data analysis techniques. Moreover, it gives insight to representation and modelling of social networks with research datasets and tools.
Reference46 articles.
1. Akcora, C., Carminati, B., & Ferrari, E. (2011). Network and profile based measures for user similarities on social networks. IEEE International Conference on Information Reuse and Integration (IRI), 292–298.
2. User similarities on social networks
3. Gephi: An open source software for exploring and manipulating networks.;M.Bastian;International AAAI Conference on Weblogs and Social Media,2009
4. Batagelj, V., & Pajek. (n.d.). Program for Large Network Analysis. Retrieved from http://vlado.fmf.uni-lj.si/pub/networks/pajek
5. Measuring segregation in social networks
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献