Analysis and Visualization of Co-authorship Networks for Understanding Academic Collaboration and Knowledge Domain of Individual Researchers

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http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.20

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	Tze-Haw Huang, Mao Lin Huang, "Analysis and Visualization of Co-authorship Networks for Understanding Academic Collaboration and Knowledge Domain of Individual Researchers," Computer Graphics, Imaging and Visualization, International Conference on, pp. 18-23, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006.

	BibTex	x
	@article{ 10.1109/CGIV.2006.20, author = {Tze-Haw Huang and Mao Lin Huang}, title = {Analysis and Visualization of Co-authorship Networks for Understanding Academic Collaboration and Knowledge Domain of Individual Researchers}, journal ={Computer Graphics, Imaging and Visualization, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2606-3}, pages = {18-23}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.20}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

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	TY - CONF JO - Computer Graphics, Imaging and Visualization, International Conference on TI - Analysis and Visualization of Co-authorship Networks for Understanding Academic Collaboration and Knowledge Domain of Individual Researchers SN - 0-7695-2606-3 SP18 EP23 A1 - Tze-Haw Huang, A1 - Mao Lin Huang, PY - 2006 KW - co-authorship KW - information visualization KW - information analysis VL - 0 JA - Computer Graphics, Imaging and Visualization, International Conference on ER -

Tze-Haw Huang, University of Technology, Australia

Mao Lin Huang, University of Technology, Australia

This paper proposed a new approach for collecting, analyzing and visualizing co-authoring data of individuals. This approach can be used for understanding the academic collaboration and knowledge domain of individual researchers in a past period through repetitive co-published works. Particularly we extracted the co-authoring data from the DBLP which is one of the largest on-line Computer Science bibliographic databases available on the Internet. To help users to understand the academic collaboration and knowledge domain of individuals, we developed an InterRing visualizer which shows not only the weight of co-authorship of an individual with other researchers in particular academic year, but also the knowledge domain of the individual that was covered by his/her publications published in a past period.

Index Terms:

co-authorship, information visualization, information analysis

Citation:

Tze-Haw Huang, Mao Lin Huang, "Analysis and Visualization of Co-authorship Networks for Understanding Academic Collaboration and Knowledge Domain of Individual Researchers," cgiv, pp.18-23, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006

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