Data-Text Primer: An Introduction to Computerized Social Data Analysis

Language ◽  
1975 ◽  
Vol 51 (2) ◽  
pp. 502
Author(s):  
Frank Anshen ◽  
David J. Armor ◽  
Arthur S. Couch
Keyword(s):  
Data Analysis ◽  
Social Data ◽  
Social Data Analysis

Social Network Analysis

2020 ◽  
pp. 107-117
Author(s):  
Sheik Abdullah A. ◽  
Abiramie Shree T. G. R.
Keyword(s):  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Storage ◽  
Social Data ◽  
Cloud Data ◽  
Huge Data ◽  
Cloud Data Storage ◽  
Social Data Analysis

Each day, 2.5 quintillion bytes of data are generated due to our daily activity. It is due to the vast amount of use of the smart mobiles, Cloud data storage, and the Internet of Things. In earlier days, these technologies were utilized by large IT companies and the private sector, but now each person has a high-end smartphone along with the cloud and IoT for the easy storage of data and backup. The analysis of the data generated by social media is a tedious process and involves a lot of techniques. Some tools for social network analysis are: Gephi, Networkx, IGraph, Pajek, Node XL, and cytoscope. Apart from these tools there are various efficient social data analysis algorithms that are far more helpful in doing analytics. The need for and use of social network analysis is very helpful in our current problem of huge data generation. In this chapter, the need for the analysis of social data along with the tools that are needed for the analysis and the techniques that are to be implemented in the field of social data analysis are covered.

scholarly journals Semi-supervised learning for big social data analysis

2018 ◽  
Vol 275 ◽  
pp. 1662-1673 ◽  
Author(s):  
Amir Hussain ◽  
Erik Cambria
Keyword(s):  
Data Analysis ◽  
Supervised Learning ◽  
Social Data ◽  
Social Data Analysis
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