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篇名 |
Measuring Social Relations in the Web based on Search Engine and Text Analysis: A Model and Implementation
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並列篇名 | Measuring Social Relations in the Web based on Search Engine and Text Analysis: A Model and Implementation |
作者 | Meijuan Yin、Xiaonan Liu、Junyong Luo、Yan Liu、Ziqi Tang |
英文摘要 | To improve the accuracy and stability of existing methods to measure social relations in the Web, a novel model of relation measuring methods based on both a search engine and text analysis is proposed. The model measures the strength of social relations according to both the co-occurrence of two persons’ names in web pages obtained by a web search engine and the cooccurrence of two person names in sentences of the text of web pages as found by text analysis. The formalized description of the model is then presented. To evaluate the effectiveness of the proposed model, the specific implementation of the model is presented in detail. Experimental results show that compared with existing methods only based on a search engine or text analysis, the relation weights obtained by the specific methods based on the proposed model are more accurate and stable. |
起訖頁 | 459-470 |
關鍵詞 | Web social networks、Social networkextraction、Relation measuring、Search engine、Text analysis |
刊名 | 網際網路技術學刊 |
期數 | 201803 (19:2期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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