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Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples 期刊论文
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2017, 卷号: 20, 期号: 4, 页码: 16
作者:  Ye, Peijun;  Hu, Xiaolin;  Yuan, Yong;  Wang, Fei-Yue
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Population Synthesis  Sample-free  Iterative Proportional Fitting  
Personality-based refinement for sentiment classification in microblog 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 132, 期号: 132, 页码: 204-214
作者:  Lin, Junjie;  Mao, Wenji;  Zeng, Daniel D.
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Sentiment Classification  Social Media Analytics  Personality Prediction  Big Five Model  
Who Are Your "Real" Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 卷号: 19, 期号: 6, 页码: 1299-1313
作者:  Lu, Dongyuan;  Sang, Jitao;  Chen, Zhineng;  Xu, Min;  Mei, Tao
浏览  |  Adobe PDF(614Kb)  |  收藏  |  浏览/下载:236/0  |  提交时间:2017/09/12
Photo Sharing Behavior Analysis  Offline Friendship Identification  Social Multimedia Mining  
A model-free scheme for meme ranking in social media 期刊论文
DECISION SUPPORT SYSTEMS, 2016, 卷号: 81, 页码: 1-11
作者:  He, Saike;  Zheng, Xiaolong;  Zeng, Daniel
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Meme Ranking  Model-free Scheme  Transfer Entropy  
Social balance in signed networks 期刊论文
INFORMATION SYSTEMS FRONTIERS, 2015, 卷号: 17, 期号: 5, 页码: 1077-1095
作者:  Zheng, Xiaolong;  Zeng, Daniel;  Wang, Fei-Yue
浏览  |  Adobe PDF(761Kb)  |  收藏  |  浏览/下载:434/129  |  提交时间:2015/11/04
Social Balance  Signed Networks  Empirical Study  Dynamicsmodel  
Portrayal of electronic cigarettes on YouTube 期刊论文
BMC PUBLIC HEALTH, 2014, 卷号: 14, 期号: 1, 页码: 1028
作者:  Luo, Chuan;  Zheng, Xiaolong;  Zeng, Daniel Dajun;  Leischow, Scott
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Tobacco Control  Electronic Cigarettes  Social Media  Youtube  
Measuring the Visual Complexities of Web Pages 期刊论文
ACM TRANSACTIONS ON THE WEB, 2013, 卷号: 7, 期号: 1, 页码: 33
作者:  Wu, Ou;  Hu, Weiming;  Shi, Lei;  Ou Wu
浏览  |  Adobe PDF(1054Kb)  |  收藏  |  浏览/下载:441/143  |  提交时间:2015/08/12
Algorithms  Performance  Visual Complexity (Viscom)  Quantification  Web Mining  Feature  Learning