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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李瑞庭(Anthony J.T. Lee) | |
| dc.contributor.author | Ying-Ciao Chen | en |
| dc.contributor.author | 陳映樵 | zh_TW |
| dc.date.accessioned | 2022-11-25T03:04:58Z | - |
| dc.date.available | 2026-07-01 | |
| dc.date.copyright | 2021-08-18 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-15 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81848 | - |
| dc.description.abstract | 越來越多的公司行號在社群平台上創立自身的品牌帳號，或與具有影響力的網紅合作來宣傳品牌形象或產品，如何為公司選擇有影響力的網紅已成為一個重要的研究議題。但若合作的網紅具有類似的喜好，他們會有較多的共同粉絲，為了讓預算的效益最大化，所選擇的網紅，彼此間最好具備低相似度。因此，本研究提出一個架構，透過考慮網紅的影響力與相似度，從目標群體中找出高效益的網紅組合，使得組合中的網紅具高影響力且低相似度。首先，我們利用每位網紅所發佈、分享和喜歡的貼文來計算網紅間的相似度；接著，我們利用Cobb-Douglas生產函數和PageRank演算法建立影響力模型，計算每位網紅的影響力，所建立的影響力模型可調整各項參數，以滿足公司行號的需求；最後，我們提出一個方法，考慮網紅的影響力與彼此間的相似度，挑選出高效益的網紅組合。實驗結果顯示，我們的方法與最優解方法相近，並且優於其它比較方法。本研究不僅可以幫助公司選擇高效益的網紅組合，將預算運用效率最大化，還可以提供不同的影響力模型與不同的選擇方法來滿足公司行號的需求。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-25T03:04:58Z (GMT). No. of bitstreams: 1 U0001-1207202103500200.pdf: 1896438 bytes, checksum: 07b647f5713b765d352a41c4ce1c91ba (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | Table of Contents.......................i List of Figures.........................ii List of Tables..........................iii Chapter 1 Introduction..................1 Chapter 2 Related Work..................5 Chapter 3 The Proposed Framework........9 3.1 Similarity between Influencers.....9 3.2 Influence Model....................11 3.3 Influencer Selection Method........13 Chapter 4 Experimental Results..........18 4.1 Dataset............................18 4.2 Performance Evaluation.............21 4.3 Utility versus Budget..............26 4.4 Selected Examples..................28 Chapter 5 Conclusions and Future Work...32 References..............................35 Appendix A..............................40 | |
| dc.language.iso | en | |
| dc.subject | 影響力最大化 | zh_TW |
| dc.subject | 貪婪演算法 | zh_TW |
| dc.subject | Cobb-Douglas生產函數 | zh_TW |
| dc.subject | 社群平台 | zh_TW |
| dc.subject | 網紅影響力 | zh_TW |
| dc.subject | greedy algorithm | en |
| dc.subject | influencer influence | en |
| dc.subject | influence maximization | en |
| dc.subject | Cobb-Douglas production function | en |
| dc.subject | social media platforms | en |
| dc.title | 從社群平台中找尋高效益的網紅組合 | zh_TW |
| dc.title | Finding High-Utility Influencers on Social Media Platforms | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳建錦(Hsin-Tsai Liu),盧信銘(Chih-Yang Tseng) | |
| dc.subject.keyword | 網紅影響力,影響力最大化,Cobb-Douglas生產函數,貪婪演算法,社群平台, | zh_TW |
| dc.subject.keyword | influencer influence,influence maximization,Cobb-Douglas production function,greedy algorithm,social media platforms, | en |
| dc.relation.page | 44 | |
| dc.identifier.doi | 10.6342/NTU202101394 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-07-16 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| dc.date.embargo-lift | 2026-07-01 | - |
| 顯示於系所單位： | 資訊管理學系 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-1207202103500200.pdf 此日期後於網路公開 2026-07-01 | 1.85 MB | Adobe PDF |
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