173 citations · 1.2k across the 29 of their papers we have counts for
30 papers
Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms
Tao Zhou, Yan-Li Lee, Guannan Wang
Link prediction is a significant and challenging task in network science. The majority of known methods are similarity-based, which assign similarity indices for node pairs and ass…
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
Wen-Bo Xie, Yan-Li Lee, Cong Wang +2
Clustering is a fundamental analysis tool aiming at classifying data points into groups based on their similarity or distance. It has found successful applications in all natural a…
Identifying vital nodes based on reverse greedy method
Tao Ren, Zhe Li, Yi Qi +4
The identification of vital nodes that maintain the network connectivity is a long-standing challenge in network science. In this paper, we propose a so-called reverse greedy metho…
Computational Socioeconomics
Jian Gao, Yi-Cheng Zhang, Tao Zhou
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic process…
Regional economic status inference from information flow and talent mobility
Jun Wang, Jian Gao, Jin-Hu Liu +2
Novel data has been leveraged to estimate socioeconomic status in a timely manner, however, direct comparison on the use of social relations and talent movements remains rare. In t…
Customer Sharing in Economic Networks with Costs
Bin Li, Dong Hao, Dengji Zhao +1
In an economic market, sellers, infomediaries and customers constitute an economic network. Each seller has her own customer group and the seller's private customers are unobservab…
Payoff Control in the Iterated Prisoner's Dilemma
Dong Hao, Kai Li, Tao Zhou
Repeated game has long been the touchstone model for agents' long-run relationships. Previous results suggest that it is particularly difficult for a repeated game player to exert…
Link prediction via linear optimization
Ratha Pech, Dong Hao, Yan-Li Lee +2
Link prediction is an elemental challenge in network science, which has already found applications in guiding laboratorial experiments, digging out drug targets, recommending frien…
A generalized method toward drug-target interaction prediction via low-rank matrix projection
Ratha Pech, Dong Hao, Yan-Li Lee +2
Drug-target interaction (DTI) prediction plays a very important role in drug development and drug discovery. Biochemical experiments or \textit{in vitro} methods are very expensive…
Collective Learning in China's Regional Economic Development
Jian Gao, Bogang Jun, Alex "Sandy" Pentland +2
Industrial development is the process by which economies learn how to produce new products and services. But how do economies learn? And who do they learn from? The literature on e…
Quantifying China's Regional Economic Complexity
Jian Gao, Tao Zhou
China has experienced an outstanding economic expansion during the past decades, however, literature on non-monetary metrics that reveal the status of China's regional economic dev…
Mechanism Design in Social Networks
Bin Li, Dong Hao, Dengji Zhao +1
This paper studies an auction design problem for a seller to sell a commodity in a social network, where each individual (the seller or a buyer) can only communicate with her neigh…
Fast asynchronous updating algorithms for k-shell indices
Yan-Li Lee, Tao Zhou
Identifying influential nodes in networks is a significant and challenging task. Among many centrality indices, the -shell index performs very well in finding out influential sp…
Link Prediction via Matrix Completion
Ratha Pech, Dong Hao, Liming Pan +2
Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in…
Critical size of ego communication networks
Qing Wang, Jian Gao, Tao Zhou +2
With the help of information and communication technologies, studies on the overall social networks have been extensively reported recently. However, investigations on the directed…
Improving personalized link prediction by hybrid diffusion
Jin-Hu Liu, Yu-Xiao Zhu, Tao Zhou
Inspired by traditional link prediction and to solve the problem of recommending friends in social networks, we introduce the personalized link prediction in this paper, in which e…
A vertex similarity index for better personalized recommendation
Ling-Jiao Chen, Zi-Ke Zhang, Jin-Hu Liu +2
Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized re…
Online Social Activity Reflects Economic Status
Jin-Hu Liu, Jun Wang, Junming Shao +1
To characterize economic development and diagnose the economic health condition, several popular indices such as gross domestic product (GDP), industrial structure and income growt…
Evaluating user reputation in online rating systems via an iterative group-based ranking method
Jian Gao, Tao Zhou
Reputation is a valuable asset in online social lives and it has drawn increased attention. How to evaluate user reputation in online rating systems is especially significant due t…
Promotion and resignation in employee networks
Jia Yuan, Qian-Ming Zhang, Jian Gao +4
Enterprises have put more and more emphasis on data analysis so as to obtain effective management advices. Managers and researchers are trying to dig out the major factors that lea…
Consistence beats causality in recommender systems
Xuzhen Zhu, Hui Tian, Zheng Hu +2
The explosive growth of information challenges people's capability in finding out items fitting to their own interests. Recommender systems provide an efficient solution by automat…
Group-based ranking method for online rating systems with spamming attacks
Jian Gao, Yu-Wei Dong, Mingsheng Shang +2
Ranking problem has attracted much attention in real systems. How to design a robust ranking method is especially significant for online rating systems under the threat of spamming…
Bootstrap percolation on spatial networks
Jian Gao, Tao Zhou, Yanqing Hu
We numerically study bootstrap percolation on Kleinberg's spatial networks, in which the probability density function of a node to have a long-range link at distance scales as…
Extortion under Uncertainty: Zero-Determinant Strategies in Noisy Games
Dong Hao, Zhihai Rong, Tao Zhou
Repeated game theory has been one of the most prevailing tools for understanding the long-run relationships, which are footstones in building human society. Recent works have revea…