Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API

Abstract

People have informal conversations on social media sites (Twitter, Facebook, etc) that shed light on the current issues around the world-opinions, and concerns about the learning process. Data from such environments can provide valuable information to predict the future to make effective decision making, however, the usage of such data is challenging. The complexity of such data from social media content requires the use of human understanding as well as social network analysis to make predictions. We focused on political groups around the world to discover linkages behind the Terrorism around the World to make predictions depend upon the data available. In this research paper, we focused on tweets related to the politicians and communities based on hashtags like #Syria #Weapons #Terrorist, etc. to identify the linkages of the user who are talking about these issues depending upon the HashTag we used for the content analysis of social network by using Gephi to make a prediction.

A mediation analysis of social media marketing between the relationship of entrepreneurial marketing strategies and the performance of small & medium enterprises in Pakistan

“…Hence performance has the potential to ensure satisfactory results and actions to be achieved (44) and thus to identify its position in terms of a strong and weak point through the evaluation of a proven MME performance. In addition, the purpose of the evaluation of SME performance is to improve the range of opportunities (45) , whether internal or external, to achieve the overall potential best and to achieve desirable development over time (45) . The research model shown below in the Figure 1 has one exogenous variable that is entrepreneurial marketing strategies with four dimensions; proactive orientations, innovativeness, focus on customer and value creation.…”