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Hashtag# Perspicacity of India Region Using Scalable Big Data Infrastructure Using Hadoop Environment

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Social Networks Science: Design, Implementation, Security, and Challenges

Abstract

Social media is rapidly providing new standards of interaction between individuals in the recent era. It is known as a computer-intermediated tool that tolerates people to share, or create information, medical notes/reports, ideas, and pictures/videos through virtual communities. The online citizens (netizens) are able to create a colossal network of people to communicate with. Social media such as Facebook, Twitter, Youtube, Instagram and Tinder have prevalent uses that produce copious amount of data which is beyond the ability of normal software tools to process in the given elapsed time. Apache Hadoop project is the most famous open sourced frameworks for large scale computation on the commodity hardware. Hadoop has become kernel for distributed operating system for big data. There are two core components associated with Hadoop–Hadoop Distributed File System (HDFS) and MapReduce. MapReduce distributed the tasks on multiple nodes in the cluster, the developer only have to write code rest is taken care by MapReduce. The generated data from these social sources is real time and includes information about author’s daily activities, feelings and emotions. The messages often include images, geo-locations and many other annotations. This vast data repository provides researchers with opportunities to study the individuals’ behavior/emotions that subject to different conditions. In this chapter we will find the trending tweets from January 2017 to September 2017 depending upon the eight prominent themes that emerged from the data set and trending tweets depending upon the geolocation. For this we divide India depending upon the region that is North India, West India, South India, East India, Central India, Northeast India

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Acknowledgements

We would like to thank Ambedkar Institute of Advanced Communication Technologies and Research for providing us the infrastructure for carrying out the research work efficiently.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, Geeta Colony, New Delhi, 110031, India

    Arushi Jain & Vishal Bhatnagar

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  1. Arushi Jain
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  2. Vishal Bhatnagar
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Corresponding author

Correspondence to Arushi Jain .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  2. Department of Information Systems, ISCAP, Porto Polytechnic, Porto, Portugal

    Rosalina Babo

  3. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour

  4. Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India

    Vishal Bhatnagar

  5. Research Lab Sciences and Technologies of Image and Telecommunication, Sfax University, Sfax, Tunisia

    Med Salim Bouhlel

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Jain, A., Bhatnagar, V. (2018). Hashtag# Perspicacity of India Region Using Scalable Big Data Infrastructure Using Hadoop Environment. In: Dey, N., Babo, R., Ashour, A., Bhatnagar, V., Bouhlel, M. (eds) Social Networks Science: Design, Implementation, Security, and Challenges . Springer, Cham. https://doi.org/10.1007/978-3-319-90059-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-90059-9_4

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