Career Map: visualizing career trajectory  

作　　者：Kan WU Jie TANG Zhou SHAO Xinyi XU Bo GAO Shu ZHAO 

机构地区：[1]Department of Computer Science and Technology, Tsinghua University [2]School of Computer Science and Engineering, Nanjing University of Science and Technology [3]International School, Beijing University of Posts and Telecommunications [4]School of Computer Science and Technology, Anhui University

出　　处：《Science China(Information Sciences)》2018年第10期243-245,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China (NSFC) (Grant No. 61561130160);Royal Society-Newton Advanced Fellowship Award

摘　　要：This study introduces a system named CareerMapthat visualizes a scholar＇s career trajectory. Asan online demonstration of CareerMap, we haveshown the visualization result by CareerMap forthe AMiner 2016 most influential scholars in ma-chine learning （ML）^1）. Each trajectory path on themap represents the movement of a scholar betweendifferent places （affiliations）.This study introduces a system named CareerMapthat visualizes a scholar＇s career trajectory. Asan online demonstration of CareerMap, we haveshown the visualization result by CareerMap forthe AMiner 2016 most influential scholars in ma-chine learning （ML）^1）. Each trajectory path on themap represents the movement of a scholar betweendifferent places （affiliations）.

关 键 词：Career Map visualizing career trajectory FIGURE 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]