By a News Reporter-Staff News Editor at Computer Weekly News -- Current study results on Computers - Computer Programming have been published. According to news reporting out of Hong Kong, People’s Republic of China, by VerticalNews editors, research stated, “Whether and how does the structure of family trees differ by ancestral traits over generations? This is a fundamental question regarding the structural heterogeneity of family trees for the multi-generational transmission research. However, previous work mostly focuses on parent-child scenarios due to the lack of proper tools to handle the complexity of extending the research to multi-generational processes.”
Financial support for this research came from HK RGC GRF.
Our news journalists obtained a quote from the research from the Hong Kong University of Science and Technology, “Through an iterative design study with social scientists and historians, we develop TreeEvo that assists users to generate and test empirical hypotheses for multi-generational research. TreeEvo summarizes and organizes family trees by structural features in a dynamic manner based on a traditional Sankey diagram. A pixel-based technique is further proposed to compactly encode trees with complex structures in each Sankey Node. Detailed information of trees is accessible through a space-efficient visualization with semantic zooming. Moreover, TreeEvo embeds Multinomial Logit Model (MLM) to examine statistical associations between tree structure and ancestral traits.”
According to the news editors, the research concluded: “We demonstrate the effectiveness and usefulness of TreeEvo through an in-depth case-study with domain experts using a real-world dataset (containing 54,128 family trees of 126,196 individuals).”
For more information on this research see: How Do Ancestral Traits Shape Family Trees over Generations? IEEE Transactions on Visualization and Computer Graphics , 2018;24(1):205-214. IEEE Transactions on Visualization and Computer Graphics can be contacted at: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Visualization and Computer Graphics - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2945)
Our news journalists report that additional information may be obtained by contacting S.W. Fu, Hong Kong University of Science & Technology, Hong Kong, Hong Kong, People’s Republic of China. Additional authors for this research include H. Dong, W.W. Cui, J. Zhao and H.M. Qu.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TVCG.2017.2744080. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-01-10), Findings on Computer Programming Detailed by Investigators at Hong Kong University of Science and Technology (How Do Ancestral Traits Shape Family Trees over Generations?), Computer Weekly News, 283, ISSN: 1944-1606, BUTTER® ID: 014933619
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