2014-01-012024-05-16https://scholars.lib.ntu.edu.tw/handle/123456789/666412摘要：隨著科技網路的日益發達，網路通訊和線上社群的使用者也不斷增加。因此，這些彼此之間流通的資料也越來越多。而為了增進瞭解這些社群使用者，許多視覺化分析的方式都紛紛被提出。透過視覺化的方式，經過不同的排列或是色彩編譯，研究者可以快速地看出某些形態或是趨勢，又或者是可以藉由這樣子的視覺化分析方式來得出用一般演算法所無法得出來的直覺。因此，在本計畫中，我們計畫利用鐵路軌道的譬喻來重現整個社群網路。相較於傳統的以點來代表人，線代表關係；此種視覺化的方式則是用線來代表人，用點來代表所經歷的事件。此外，我們也嘗試著利用動畫的方式來解釋一段時間內人們之間互相的交流，以動態看出彼此之間關係的消長，並以實際的電子郵件資料以及線上通訊軟體的資料來做測試。而對於在大量資料之下所會出現的資料互相重疊的問題，我們也試著提出以群聚的概念來解決。因此，藉由本計畫所進行的研究，我們期待能夠實現以視覺化的方式來分析並探索社群網路的關係，且提供使用者更加的互動性。<br> Abstract: With the growing use of online communication and social networking, personal communication data become rich in multiple dimensions. In order to understand the relationship between the online communities, lots of visualization analysis are proposed. Through the different visualization ways, like different layouts or different color encodings, researchers can easily read out the patterns or the trend. Moreover, through the suitable visual analytics, researchers usually can easily conclude the insights, which cannot be easily got through the algorithms. Therefore, in this project, we plan to use different ways to visualize the social network by utilizing the railway metaphor. Comparing to the traditional encodings, which use nodes to represent the people and links to present the relationship among the people, the new method uses lines to represent the people and uses the nodes to represent the experienced events. Moreover, we plan to try use animation to visualize the communication among people to disclose the trend of their relationship over time. To deal with the social network data, the scalability is also the key issue. Therefore, we plan to use the clustering approach to organize the social network data to reduce the cluttering. Hence, according to this project, we hope to realize the new way to explore the social network data and provide systems with better performance and interaction.社群網路資訊可視化Social NetworkInformation Visualization