- 學位論文
正定社交網路迭代行為之模擬
Simulation of the Iterated Behavior in Positive Definite Social Network
並列摘要
This study mainly aims at whether the society supports or disagrees with certain issues, and uses social networks among people to update their opinions. In this study, the matrix is used to construct this issue. By using the computer simulation, when the matrix is a positive definite, we find that it will eventually converge. Therefore, this topic must have a conclusion. If it is not positive, the simulation results show that there are two situations occur. One is that the two will cycle, and the second is to converge. Furthermore, the program is attached in the appendix.
參考文獻
1. YVES KAMP and MARTIN HASLER (1990)
Recursive Neural Networks for Associative Memory J. Wiley & Sons, New York.
2. Roger A. Horn and Charles R. Johnson (1990)
Matrix Analysis Cambridge University.
延伸閱讀
- Kao, C. L. (2011). 社交網路循序互動樣式之探勘 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2011.01127
- 蔡曉婷（2019）。基於語義分析網路即時回饋系統輔助線上討論成效之有效行為模式研究〔碩士論文，國立政治大學〕。華藝線上圖書館。https://doi.org/10.6814/NCCU201900501
- 林冠群、溫忠麟、Herbert W. Marsh、林惠賢（2011）。正交化無限制潛在交互效果模式之修正策略的評估。測驗學刊，58(1)，29-54。https://doi.org/10.7108/PT.201103.0029
- Chuang, T. C. (2017). 在社群網路串流中之樣式探勘 [master's thesis, Tamkang University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0002-2507201723312000
- 莊孟修（2018）。A Novel Algorithm for Efficient Influence Maximization in Social Networks〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-0307201820564400