Social Network Analysis and Visualization with R

Abstract

In industrial revolution 4.0 period, social network Service (SNS) usage is rising. In this circumstance, Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, communication studies, business management, economics, geography, history, information science, organizational studies, political science, social psychology, development studies, sociolinguistics, and computer science and is now commonly available as a consumer tool. SNA is a branch of Network Science, which is an attempt to understand networks emerging in nature, technology and society using R. Researcher can find hub and node for practical application. And word cloud is the representative tool for visualization of communication. The resulting networks, which can contain thousands of nodes, are then analyzed by using R from network theory to identify the key actors, the key communities or parties, and general properties such as robustness or structural stability of the overall network, or centrality of certain nodes.