110 citations · 146 across the 7 of their papers we have counts for
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physics.soc-ph2015★ 110 cited
Local structure can identify and quantify influential global spreaders in large scale social networks
Yanqing Hu, Shenggong Ji, Yuliang Jin +3
Measuring and optimizing the influence of nodes in big-data online social networks are important for many practical applications, such as the viral marketing and the adoption of ne…
physics.soc-ph2015★ 6 cited
Effective spreading from multiple leaders identified by percolation in social networks
Shenggong Ji, Linyuan Lu, Chi Ho Yeung +1
Social networks constitute a new platform for information propagation, but its success is crucially dependent on the choice of spreaders who initiate the spreading of information.…
physics.soc-ph2014★ 16 cited
Multiple Hybrid Phase Transition: Bootstrap Percolation on Complex Networks with Communities
Chong Wu, Shenggong Ji, Rui Zhang +4
Bootstrap percolation is a well-known model to study the spreading of rumors, new products or innovations on social networks. The empirical studies show that community structure is…