Trends and Pattern Analysis in Social Networks

The focus in India has now changed to providing world class higher education to all students aiming to compete with the world. Keeping this in mind, higher education institutions (HEIs) must figure out a way to make the change in accordance with technological advancements in social networking to motivate students and encourage an intuitive learning environment in their campus. Using social networking in higher education (HE) is being creative, productive, cost–effective, and is exceptionally critical owing to the complex nature of serving the population of the online generation (Og). Utilizing the social networking environment for learning and teaching at HEIs could be a financially effective and productive way of speaking to and connecting with higher education online members, which include students, faculties, administrators, staff, management, etc. A few illustrations of the HEI becoming a “Social Institution” are strengthening the HEI’s “brand” or reputation, managing and building online communities (staff, students, parents/guardians, graduated class/alumni), and streamlining processes for better productivity at less expense. This chapter focuses on effective implementation of data analytics techniques on social media datasets for helping Indian HEIs to compete effectively in the global market.