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An Optimized Decision Support System Based On Social Network Change Detection (SNCD)

첫 페이지 보기
  • 발행기관
    한국차세대컴퓨팅학회 바로가기
  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 통권
    ICNGC 2025 The 11th International Conference on Next Generation Computing 2025 (2025.12)바로가기
  • 페이지
    pp.96-99
  • 저자
    Muhammad Waseem Iqbal, Zaeem Nazir, Khalid Hamid, Muhammad Waleed Iqbal, Abeer Moazzam, Hussain Dawood
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A478469

원문정보

초록

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.

목차

Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
A. Introduction to Social Networks
B. Niche Networks:
C. Psychological effects of social networking:
D. Introduction to SNA
III. METHODOLOGY
IV. RESULTS AND DISCUSSION
A. Betweenness centrality
B. Closeness centrality
V. CONCLUSION
REFERENCES

키워드

social networks closeness centrality change detection page rank

저자

  • Muhammad Waseem Iqbal [ Faculty of Artificial Intelligence, Universiti Teknologi Malysia (UTM), Malaysia ]
  • Zaeem Nazir [ Department of Computer Science University of Narowal, Narowal, Pakistan ]
  • Khalid Hamid [ Department of Computer Science, Superior University, Lahore. Pakistan ]
  • Muhammad Waleed Iqbal [ Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus; Sahiwal, Pakistan ]
  • Abeer Moazzam [ School of Computing, Horizon University College, Ajman, UAE ]
  • Hussain Dawood [ School of Computing, Horizon University College, Ajman, UAE ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국차세대컴퓨팅학회 [Korean Institute of Next Generation Computing]
  • 설립연도
    2005
  • 분야
    공학>컴퓨터학
  • 소개
    본 학회는 차세대 PC 및 그 관련분야의 학술활동을 통하여 차세대 PC의 학문 및 기술발전을 도모하고 산업발전 및 국제협력 증진을 목적으로 한다.

간행물

  • 간행물명
    한국차세대컴퓨팅학회 학술대회
  • 간기
    반년간
  • 수록기간
    2021~2025
  • 십진분류
    KDC 566 DDC 004

이 권호 내 다른 논문 / 한국차세대컴퓨팅학회 학술대회 ICNGC 2025 The 11th International Conference on Next Generation Computing 2025

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