earticle

영어

Social network analysis is a rapidly emerging field of research, active since the early 2000s. This research proposes the formulation of a decision support system-based integration of social network analysis and change detection techniques. The social network under study is an email dataset of former US Secretary of State Mrs. Hillary Rodham Clinton via her personal and official email addresses. In the year 2015, Hillary Clinton was facing controversies for using personal email accounts for non-governmental purposes while she was serving as the United States Secretary of State. Some political experts and competitors maintain that Clinton's use of personal email accounts to conduct Secretary of State Affairs violates protocols and federal laws that assure convenient record keeping of government activity. There have been some lawsuits filed over the freedom of information to release Clinton's emails sent and received over her private server over the State Department's failure. August 31st on Monday, the State Department released nearly 7,000 pages of Clinton's heavily updated emails (its biggest release of emails to date). The documents were released as PDFs by the State Department. In this research, we use the NodeXL tool for analyzing the emails from 2011-2012 for checking the Closeness Centrality, Betweenness Centrality, Eigenvectors and Page rank. Although many people have done much work on this topic but in this research, we use the NodeXL tool to check Closeness Centrality, Betweenness Centrality, Eigenvectors and Page rank for more accuracy of all the above factors. This research employs a cleaned, normalized and preprocessed CSV version of the dataset retrieved from the online dataset repository.