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| Zeqian Shen, Kwan-Liu Ma, Tina Eliassi-Rad, "Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 6, pp. 1427-1439, November/December, 2006. | |||
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| @article{ 10.1109/TVCG.2006.107, author = {Zeqian Shen and Kwan-Liu Ma and Tina Eliassi-Rad}, title = {Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction}, journal ={IEEE Transactions on Visualization and Computer Graphics}, volume = {12}, number = {6}, issn = {1077-2626}, year = {2006}, pages = {1427-1439}, doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2006.107}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Visualization and Computer Graphics TI - Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction IS - 6 SN - 1077-2626 SP1427 EP1439 EPD - 1427-1439 A1 - Zeqian Shen, A1 - Kwan-Liu Ma, A1 - Tina Eliassi-Rad, PY - 2006 KW - Graph drawing KW - information visualization KW - ontology KW - semantic graphs KW - social networks KW - visual analytics. VL - 12 JA - IEEE Transactions on Visualization and Computer Graphics ER - | |||
Abstract—Social network analysis is an active area of study beyond sociology. It uncovers the invisible relationships between actors in a network and provides understanding of social processes and behaviors. It has become an important technique in a variety of application areas such as the Web, organizational studies, and homeland security. This paper presents a visual analytics tool, OntoVis, for understanding large, heterogeneous social networks, in which nodes and links could represent different concepts and relations, respectively. These concepts and relations are related through an
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