| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 99 === Complicated human networks and relationships exist in news reports, which tend to be people-centric. The act of examining the relationship between the characters in a particular event is often influenced by the presence of strong linkages that have been built up between these people over time. As a result, it becomes more difficult to draw out the key characters involved in the event. This research employs the concept of complex networks with a hierarchical architecture, and makes use of the hierarchically-oriented bond and bridge motif detection algorithm method to assess the strength of each relationship at each hierarchical level, based on the structural and spectral properties of the network. These properties are used in turn to extract the existing adhesive relationships and bonds between the characters. Hence, the study of relationships using this method enables the elimination of existing strong linkages between characters, and facilitates the extraction of the core figures involved in a specific event. In this paper, this model is tested using reports on the Taiwan-China Economic Cooperation Framework Agreement (ECFA), obtained from the archives of the two major Taiwanese papers. The proposed algorithm model pulled out Lee Sush-der (Minister of Finance at the time that the ECFA was concluded) as the key figure in the relationship map for this event, a result of greater relevance as compared to the two figures obtained through traditional text-mining methods—Ma Ying-jeou and Tsai Ing-wen (leaders of the ruling political parties).
|
|---|
