Close communication and 2-clubs in corporate networks: Europe 2010 [0.03%]
密切沟通与公司网络中的2-俱乐部：2010年欧洲案例
Robert J Mokken,Eelke M Heemskerk,Steven Laan
Robert J Mokken
Corporate networks, as induced by interlocking directorates between corporations, provide structures of personal communication between their boards. This paper studies such networks using the framework of a previous paper by Laan et al. (So...
Twitter sentiment classification for measuring public health concerns [0.03%]
用于测量公共卫生关注的twitter情感分类
Xiang Ji,Soon Ae Chun,Zhi Wei et al.
Xiang Ji et al.
An important task of public health officials is to keep track of health issues, such as spreading epidemics. In this paper, we are addressing the issue of spreading public concern about epidemics. Public concern about a communicable disease...
A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+) [0.03%]
具有解释性的健康社交网络中的人类行为预测的深度学习方法：社会限制波尔兹曼机(SRBM+)
Nhathai Phan,Dejing Dou,Brigitte Piniewski et al.
Nhathai Phan et al.
Human behavior modeling is a key component in application domains such as healthcare and social behavior research. In addition to accurate prediction, having the capacity to understand the roles of human behavior determinants and to provide...
Gizem Korkmaz,Jose Cadena,Chris J Kuhlman et al.
Gizem Korkmaz et al.
Civil unrest events (protests, strikes, and "occupy" events) range from small, nonviolent protests that address specific issues to events that turn into large-scale riots. Detecting and forecasting these events is of key interest to social ...
Yue Wang,Xintao Wu,Jun Zhu et al.
Yue Wang et al.
Enabling accurate analysis of social network data while preserving differential privacy has been challenging since graph features such as clustering coefficient or modularity often have high sensitivity, which is different from traditional ...