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.
Highlights
Today social media is used by the mass of the people around the world even the public organization and politicians are using social media to reach the mass of the people and conveying the messages [1, 2]
Identify the public information through social media is not a big issue but to make the network of people involved in the social media discussion is a major task that needs to do to analyze to identify the key players behind the political situation and reason of war on terrorism [4]
Gathering and analyzing social content is a difficult task as this involves analyzing the complexity of unstructured data, identification of different categories and text used in social content is another issue while filtering data from the social web [6, 7]
Summary
Today social media is used by the mass of the people around the world even the public organization and politicians are using social media to reach the mass of the people and conveying the messages [1, 2]. Identify the public information through social media is not a big issue but to make the network of people involved in the social media discussion is a major task that needs to do to analyze to identify the key players behind the political situation and reason of war on terrorism [4]. There are millions of users accounts on social media websites some accounts might be fake, some aren’t carefully analyzing the user account with appropriate content is the major issue while analyzing and mining the social web content. Gathering and analyzing social content is a difficult task as this involves analyzing the complexity of unstructured data, identification of different categories and text used in social content is another issue while filtering data from the social web [6, 7]. As far as business is a concern there are many tools available for the analysis of data, but for analyzing the data for a specific group like politics we have a limited amount of data available to make predictions as well as analyzing the data
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