Data Mining In Social Media

1861 Words8 Pages
Modern era social networking has been revolutionised with the advent of Web-based social networking systems. This kind of communication platform is technically termed as a social networking site (SNS). The social networking sites have collectively given rise to social media networks that facilitate real-time communication and information sharing across the globe. Major social networking websites in the world such as Facebook, Twitter, Google Pulse, etc. generate lots of time critical dynamic data. The Pew Research Center (2014, p. 1) has described social media in the following words: “Social media include all the ways people connect to people through computation. Mobile devices, social networks, email, texting, micro-blogging and location…show more content…
These network structures can be visualised, analysed, and processed to generate network insights. The network insights are used to obtain valuable information on different aspects of social media functions, structures, variations, and behaviours. Data mining can help in manipulating social media data more effectively. According to Gundecha and Liu (2012, section 1.1), data mining can be defined as “a process of discovering useful or actionable knowledge in large-scale data.” Given the diversified nature and hugeness of social media data, implementation of data mining techniques has emerged as a coveted alternative to conventional social network analysis (SNA) methods. In this paper, the main focus area is the field of data mining with reference to social media analysis and research. 2. Literature…show more content…
Instead, social media data and its features must be understood on the basis of data sources and network models related with them (Zafarani, Abbasi, and Liu 2014). 2.2 Application of data mining The state of the art of modern data mining technologies is highly complex, rich, and purposive. According to Han, Kamber, and Pei (2011), basic essentials of data mining include pre-processing, supervised and unsupervised learning, algorithmic manipulation, and effective organisation. Furthermore, clear understanding of graph essentials, network measures, and network models (see Figure – 2) is extremely necessary for implementing a “social media mining” (Zafarani, Abbasi, and Liu 2014, p. 1) framework According to Gundecha and Liu (2012), the major aims of a data mining process include manipulating large-scale data and deciphering actionable patterns in them. “Because social media is widely used for various purposes, vast amounts of user-generated data exist and can be made available for data mining.” (Gundecha and Liu 2012, section
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