An Approach for Digital-Social Network Analysis Using Twitter API

Abstract

In today’s world of the Internet, we have seen that we are a series of interconnected points that communicate with one another. We are able to send out information about ourselves or about work, we can exchange videos and files, and connect with people of the same beliefs and ideas. Through this process, we are able to retrieve a broader awareness, clarify different concerns, interrogate people, and overall map different ideas and people together. Networking has been used quite often as a term to describe such objectives. Whether we are talking about one or more devices communicating with one another or a group of people connecting with each other, networking has been used to describe such connectivity and communication between objects. Network analysis has been introduced as well, as a way to explore this connectivity, and it has also affected connectivity on a social level also known as social network analysis. To further clarify social network analysis (SNA) which is the main concern of the paper, we need to acknowledge what each term means, what are the different types of SNA, the benefits, and purpose of the SNA usage, how we can use it and what are the best tools and applications that we can use.