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題名：利用網路結構分析的研究主題視覺化
書刊名：教育資料與圖書館學
作者：林頌堅 引用關係
作者(外文)：Lin, Sung-chien
出版日期：2013
卷期：50:4
頁次：頁565-596
主題關鍵詞：研究主題分析；資訊視覺化；路徑搜尋網路；社群偵測演算法；Analysis of research topics；Information visualization；Path-finder networks；Community detection algorithms
原始連結：連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
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  • 共同引用共同引用:6
  • 點閱點閱:93
路徑搜尋網路(PFNet)方法與社群偵測演算法經常被應用在研究主題的視覺化呈現與分析。PFNet方法能夠在保留原先網路的結構特性下，刪除大量不重要的連結線。社群偵測演算法則能夠將網路劃分成凝聚性子群。然而這兩種方法都有不足的地方：PFNet方法無法自動從輸入的網路上發現重要的子群，社群偵測演算法無法保證同一子群的節點會映射在鄰近的區域。本論文建議整合這兩種方法以減輕上述的問題：利用社群偵測演算法將PFNet方法產生的新網路劃分成子群。並且本研究也建議利用子群內的出現頻率較高的詞語做為研究主題的標示，讓結果分析與詮釋更加容易。本研究以臺灣資訊傳播學領域為範例，利用相關系所的碩士論文為分析資料。研究結果發現：整合PFNet方法和社群偵測演算法有利於從論文相關網路上發現代表重要研究主題的子群。子群內最高出現頻次的詞語大多和資訊傳播學以及其基礎領域的問題、方法、理論和技術非常相關，可以做為研究主題的標示。
The Pathfinder network (PFNet) method and the community detection algorithms both are methods which have been widely applied to visual presentation and analysis of research topics. The PFNet method can delete a large amount of insignificant links in networks but also retains the structural characteristics of the original networks, while the community detection algorithms are able to partition networks into a set of cohesive subgroups. However, each of the methods has its deficiencies. The PFNet method cannot automatically find out critical subgroups in input networks and the community detection algorithms do not guarantee nodes in the same subgroup able to be mapped in neighboring area. The integration of these two methods provides a way to alleviate the above problems: The output network from the PFNet method is partitioned using community detection algorithm. In addition, this study also suggests that the use of high frequency terms within papers in subgroups as the labels of research topics to make the analysis and interpretation of results easier. This study takes the field of Information Communication as an analytic case to study the application of the integrated methods, and the data of master theses of the related graduated schools are collected to be used for the analysis. The results show that it is effective to integrate the PFNet method and the community detection algorithms to discover subgroups representing important research topics from the network which is constructed upon the relations between papers in the examined field. The terms with high occurring frequency in subgroups are very relevant to the problems, method, theorems and technologies in the field of Information Communications and its fundamental disciplines, and therefore, they are suitable as the representatives of research topics.
期刊論文
1.Kamada, Tomihisa、Kawai, Satoru(1989)。An algorithm for drawing general undirected graphs。Information Processing Letters，31(1)，7-15。  new window
2.林頌堅(2012)。資訊傳播學領域的研究主題發展分析。資訊傳播研究，2(2)，1-19。new window  延伸查詢new window
3.Blondel, V. D.、Guillaume, J.-L.、Lambiotte, R.、Lefebvre, E.(2008)。Fast unfolding of communities in large networks。Journal of Statistical Mechanics: Theory and Experiment，2008(10)，155-168。  new window
4.Borner, K.、Sanyal, S.、Vespignani, A.(2007)。Network science。Annual Review of Information Science and Technology，41(1)，537-607。  new window
5.Chen, C.(1998)。Bridging the gap: The use of Pathfinder networks in visual navigation。Journal of Visual Languages and Computing，9(3)，267-286。  new window
6.Chen, P.、Redner, S.(2010)。Community structure of the physical review citation network。Journal of Informetrics，4(3)，278-290。  new window
7.Colliander, C.、Ahlgren, P.(2012)。Experimental comparison of first and second-order similarities in a scientometric context。Scientometrics，90(2)，675-685。  new window
8.Groh, G.、Fuchs, C.(2011)。Multi-modal social networks for modeling scientific fields。Scientometrics，89(2)，569-590。  new window
9.Morris, S. A.、Van der Veer Martens, B.(2008)。Mapping research specialties。Annual Review of Information Science and Technology，42(1)，213-295。  new window
10.Schubert, A.、Soos, S.(2010)。Mapping of science journals based on h-similarity。Scientometrics，83(2)，589-600。  new window
11.van Eck, N. J.、Waltman, L.、Noyons, Ed C. M.、Buter, R. K.(2010)。Automatic term identification for bibliometric mapping。Scientometrics，82(3)，581-596。  new window
12.Wallace, M. L.、Gingras, Y.、Duhon, R.(2009)。A new approach for detecting scientific specialties from raw cocitation networks。Journal of the American Society for Information Science and Technology，60(2)，240-246。  new window
13.Waltman, L.、Van Eck, N. J.、Noyons, E. C. M.(2010)。A unified approach to mapping and clustering of bibliometric networks。Journal of Informetrics，4(4)，629-635。  new window
14.White, H. D.(2003)。Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists。Journal of American Society for Information Science and Technology，54(3)，423-434。  new window
15.Yan, E.、Ding, Y.、Milojevic, S.、Sugimoto, C. R.(2012)。Topics in dynamic research communities: An exploratory study for the field of information retrieval。Journal of Informetrics，6(1)，140-153。  new window
16.Zhang, L.、Liu, X.、Janssens, F.、Liang, L.、Glänzel, W.(2010)。Subject clustering analysis based on ISI category classification。Journal of Informetrics，4(2)，185-193。  new window
17.Zhao, H.、Lin, X.(2010)。A comparison of mapping algorithms for author co-citation data analysis。Proceedings of American Society for Information Science and Technology，47(1)，1-3。  new window
18.Newman, M. E. J.、Girvan, M.(2004)。Finding and Evaluating Community Structure in Networks。Physical Review E: Statistical Nonlinear & Soft Matter Physics，69(2)，026113。  new window
19.李敦仁、余民寧(20071200)。學習表現的知識結構評量研究：以「教育統計學」學科知識為例。教育研究與發展期刊，3(4)，113-148。new window  延伸查詢new window
20.Girvan, M.、Newman, M. E. J.(2002)。Community Structure in Social and Biological Networks。Proceedings of the National Academy of Sciences of the United States of America，99(12)，7821-7826。  new window
21.Chen, C. M.(2006)。Cite Space II: Detecting and visualizing emerging trends and transient patterns in scientific literature。Journal of the American Society for Information Science and Technology，57(3)，359-377。  new window
22.Börner, Katy、Chen, Chaomei、Boyack, Kevin W.(2003)。Visualizing knowledge domains。Annual Review of Information Science and Technology，37(1)，179-255。  new window
23.Small, H.(2006)。Tracking and predicting growth areas in science。Scientometrics，68(3)，595-610。  new window
24.Takeda, Y.、Kajikawa, Y.(2009)。Optics: a bibliometric approach to detect emerging research domains and intellectual bases。Scientometrics，78(3)，543-558。  new window
25.Lin, X.(1997)。Map displays for information retrieval。Journal of the American Society for Information Science，48(1)，40-54。  new window
26.Clauset, A、Newman, M. E. J.、Moore, C.(2004)。Finding Community Structure in Very Large Networks。Physical Review E，70(6)，066111。  new window
27.Newman, M. E. J.,(2006)。Modularity and Community Structure in Networks。Proceedings of the National Academy of Sciences of the United States of America，103(23)，8577-8582。  new window
28.Chen, C.、Paul, R. J.(2001)。Visualizing a knowledge domain’s intellectual structure。Computer，34，65-71。  new window
會議論文
1.梁朝雲(201103)。尋找「資訊傳播」定義、發現「資訊傳播」研究。《教育資料與圖書館學》40週年國際學術研討會，淡江大學資訊與圖書館學系（主辦） 。新北市。  延伸查詢new window
2.Chen, C.、Morris, S.(2003)。Visualizing evolving networks: Minimum spanning trees versus pathfinder networks。Information Visualization, 2003. INFOVIS 2003. IEEE Symposium on。Seattle, WA：IEEE。67-74。  new window
圖書
1.Chen, C.(2003)。Mapping scientific frontiers: The quest for knowledge visualization。London：Springer-Verlag。  new window
2.Chen, C.、Carr, L.(1999)。Trailblazing the literature of hypertext: Author co-citation analysis (1989-1998)。Proceedings of the tenth ACM Conference on Hypertext and hypermedia: Returning to our diverse roots: Returning to our diverse roots。New York, NY：ACM。  new window
3.Hansen, Derek L.、Shneiderman, Ben、Smith, Marc A.(2010)。Analyzing social media networks with NodeXL: Insights from a connected world。Morgan Kaufmann。  new window
4.NWB Team(2006)。Network Workbench Tool。Northeastern University：University of Michigan：Indiana University。  new window
5.de Nooy, Wouter、Mrvar, Andrej、Batagelj, Vladimir(2005)。Exploratory social network analysis with Pajek。Cambridge University Press。  new window
 
 
 
 
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