activity
20052023
most citedSuppressing disease spreading by using information diffusion on multiplex networks

133 citations · 886 across the 43 of their papers we have counts for

collaborators
Showing 2014Show all

7 papers · 1 filter

physics.soc-ph2014★ 5 cited

Dual-induced multifractality in online viewing activity

Yu-Hao Qin, Zhi-Dan Zhao, Shi-Min Cai +2

Although recent studies have found that the long-term correlations relating to the fat-tailed distribution of inter-event times exist in human activity, and that these correlations…

physics.soc-ph2014★ 3 cited

Whether Information Network Supplements Friendship Network

Lili Miao, Qian-Ming Zhang, Da-Chen Nie +1

Homophily is a significant mechanism for link prediction in complex network, of which principle describes that people with similar profiles or experiences tend to tie with each oth…

physics.soc-ph2014★ 11 cited

Community structure revealed by phase locking

Ming-Yang Zhou, Zhao Zhuo, Shi-Min Cai +1

Community structure can naturally emerge in paths to synchronization, and scratching it from the paths is a tough issue that accounts for the diverse dynamics of synchronization. I…

physics.soc-ph2014★ 1 cited

Non-Markovian Character in Human Mobility: Online and Offline

Zhi-Dan Zhao, Shi-Min Cai, Yang Lu

The dynamics of human mobility characterizes the trajectories humans follow during their daily activities and is the foundation of processes from epidemic spreading to traffic pred…

cs.IR2014★ 23 cited

Personalized recommendation with corrected similarity

Xuzhen Zhu, Hui Tian, Shimin Cai

Personalized recommendation attracts a surge of interdisciplinary researches. Especially, similarity based methods in applications of real recommendation systems achieve great succ…

cs.IR2014

Personalized recommendation against crowd's popular selection

Xuzhen Zhu, Hui Tian, Haifeng Liu +1

The problem of personalized recommendation in an ocean of data attracts more and more attention recently. Most traditional researches ignore the popularity of the recommended objec…