A Technique to Identify Key Players that Helps to Improve Businesses Using Multilayer Social Network Analysis

Abstract

Social network analysis has gained importance in the current era of online networks. Companies nowadays are using the social network analysis tools and techniques to enhance their business positions. Analyzing the social networks provide the massive amount of useful information for the business. In this paper, we have analyzed the online social networks of leading mobile phone company Huawei. The importance of any individual (Node) can be determined by the participation and behavior of the node in the OSN. Centrality measure is the key factor to visualize any social network. Centrality in term includes Density, Closeness Centrality, Degree Centrality, Eigenvector Centrality and some other metrics such as Coefficient Clustering, Page Rank. These metrics can be used to determine the most important node (key player) in a network. Visualization of the social network is a complicated task as it is expanded every minute as thousands of users join the social network daily. We have put an effort to analyze the social network and determine the influential node with the calculation of above-mentioned metrics. The overall aim of our research is to improve the business by identifying the most influential node. The experimental results and a detailed quantitative analysis show that this is the more efficient and effective way to detect the influential nodes in an online social network.

The Significance of Stakeholders in the Rooftop Solar Power Plant Ecosystem Industry in Indonesia

“…On the other hand, normalized degree (nDegree) centrality is calculated by dividing the degree of a stakeholder by the maximum feasible degree. This attribute is used to identify which node has the greatest influence in a network (Farooq et al, 2018). The last step in data analysis, according to the Miles and Huberman model, is drawing conclusions and verifying them.…”