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20012021
most citedRecent Trends in Deep Learning Based Natural Language Processing

1.2k citations

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7 papers · 1 filter

physics.soc-ph2013★ 19 cited

From sparse to dense and from assortative to disassortative in online social networks

Menghui Li, Shuguang Guan, Chensheng Wu +5

Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create lin…

physics.soc-ph2013★ 43 cited

Do scientists trace hot topics?

Tian Wei, Menghui Li, Chensheng Wu +4

Do scientists follow hot topics in their scientific investigations? In this paper, by performing analysis to papers published in the American Physical Society (APS) Physical Review…

physics.soc-ph2013★ 5 cited

Spectral Anlysis on Explosive Percolation

Ning Ning Chung, Lock Yue Chew, Choy Heng Lai

We study the spectral properties of the process of explosive percolation. In particular, we explore how the maximum eigenvalue of the adjacency matrix of a network which governs th…

physics.soc-ph2012★ 424 cited

Controlling complex networks: How much energy is needed?

Gang Yan, Jie Ren, Ying-Cheng Lai +2

The outstanding problem of controlling complex networks is relevant to many areas of science and engineering, and has the potential to generate technological breakthroughs as well.…

physics.soc-ph2012★ 14 cited

Impact of edge-removal on the centrality betweenness of the best spreaders

N. N. Chung, L. Y. Chew, J. Zhou +1

The control of epidemic spreading is essential to avoid potential fatal consequences and also, to lessen unforeseen socio-economic impact. The need for effective control is exempli…

physics.soc-ph2011★ 2 cited

Network Extreme Eigenvalue - from Multimodal to Scale-free Network

Ning Ning Chung, Lock Yue Chew, Choy Heng Lai

The extreme eigenvalues of adjacency matrices are important indicators on the influences of topological structures to collective dynamical behavior of complex networks. Recent find…

physics.soc-ph2011★ 8 cited

Formation of Modularity in a Model of Evolving Networks

Menghui Li, Shuguang Guan, Choy-Heng Lai

Modularity structures are common in various social and biological networks. However, its dynamical origin remains an open question. In this work, we set up a dynamical model descri…