1.2k citations
- Zhejiang UniversityCN681 papers
- Nanjing UniversityCN587 papers
- University of Science and Technology of ChinaCN570 papers
- University of Chinese Academy of SciencesCN542 papers
- Peking UniversityCN541 papers
- Nankai UniversityCN537 papers
- Guangxi Normal UniversityCN535 papers
- Carnegie Mellon UniversityUS534 papers
- Ruhr University BochumDE534 papers
- Budker Institute of Nuclear PhysicsRU533 papers
- Central China Normal UniversityCN533 papers
- China Center of Advanced Science and TechnologyCN533 papers
6 papers · 2 filters
Diversity of individual mobility patterns and emergence of aggregated scaling laws
Xiao-Yong Yan, Xiao-Pu Han, Bing-Hong Wang +1
Uncovering human mobility patterns is of fundamental importance to the understanding of epidemic spreading, urban transportation and other socioeconomic dynamics embodying spatiali…
An Evolving model of online bipartite networks
C. -X. Zhang, Z. -K. Zhang, C. Liu
Understanding the structure and evolution of online bipartite networks is a significant task since they play a crucial role in various e-commerce services nowadays. Recently, vario…
Information spreading on dynamic social networks
Chuang Liu, Zi-Ke Zhang
Nowadays, information spreading on social networks has triggered an explosive attention in various disciplines. Most of previous works in this area mainly focus on discussing the e…
Emergence of scale-free close-knit friendship structure in online social networks
Ai-xiang Cui, Zi-ke Zhang, Ming Tang +2
Despite the structural properties of online social networks have attracted much attention, the properties of the close-knit friendship structures remain an important question. Here…
Ranking spreaders by decomposing complex networks
An Zeng, Cheng-Jun Zhang
Ranking the nodes' ability for spreading in networks is a fundamental problem which relates to many real applications such as information and disease control. In the previous liter…
Recommender Systems
Linyuan Lü, Matus Medo, Chi Ho Yeung +3
The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommen…