The network forum is an important channel of information dissemination for Chinese Internet users and has become the primary source of opinions concerning “hot issues.” This paper presents a fast and efficient method to mine “hot posts” in network forums and to analyze the evolutionary trends of hot issues. The proposed method uses statistical and mathematical models to sort posts into sections. The proposed method is also used to analyze the evolutionary trends of hot posts, thus determining whether tracking is necessary for a certain post. Experiments were conducted to verify the feasibility and effectiveness of the proposed model. This study establishes a foundation for the further study of the evolution of hot issues in complex networks.
목차
Abstract 1. Introduction 2. Principle of related methods 2.1. Data collection 2.2. Data analysis 2.3. Methods and results 3. Development trend analysis 3.1. Preprocessed data 3.2. Selection and evaluation of mathematical models 3.3. Core analysis method 4. Conclusion Acknowledgements References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.6 No.2