activity
20162023
most citedVital nodes identification in complex networks

1.2k citations · 1.4k across the 9 of their papers we have counts for

collaborators

9 papers

physics.soc-ph2023★ 3 cited

Unveiling Explosive Vulnerability of Networks through Edge Collective Behavior

Peng Peng, Tianlong Fan, Xiao-Long Ren +1

Edges, binding together nodes within networks, have the potential to induce dramatic transitions when specific collective failure behaviors emerge. These changes, initially unfoldi…

cs.SI2023

Predicting the popularity of information on social platforms without underlying network structure

Wu Leilei, Yi Lingling, Ren Xiao-Long +1

The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing. However, tradi…

cs.SI2023★ 1 cited

Identifying vital nodes through augmented random walks on higher-order networks

Yujie Zeng, Yiming Huang, Xiao-Long Ren +1

Empirical networks possess considerable heterogeneity of node connections, resulting in a small portion of nodes playing crucial roles in network structure and function. Yet, how t…

cs.SI2019

Ensemble approach for generalized network dismantling

Xiao-Long Ren, Nino Antulov-Fantulin

Finding a set of nodes in a network, whose removal fragments the network below some target size at minimal cost is called network dismantling problem and it belongs to the NP-hard…

physics.soc-ph2018

Eliminating the effect of rating bias on reputation systems

Leilei Wu, Zhuoming Ren, Xiao-Long Ren +2

The ongoing rapid development of the e-commercial and interest-base websites make it more pressing to evaluate objects' accurate quality before recommendation by employing an effec…

cs.SI2018★ 219 cited

Generalized Network Dismantling

Xiao-Long Ren, Niels Gleinig, Dirk Helbing +1

Finding the set of nodes, which removed or (de)activated can stop the spread of (dis)information, contain an epidemic or disrupt the functioning of a corrupt/criminal organization…

cs.SI2017

Inferring users' preferences through leveraging their social relationships

Xiaofang Deng, Leilei Wu, Xiaolong Ren +3

Recommender systems, inferring users' preferences from their historical activities and personal profiles, have been an enormous success in the last several years. Most of the exist…

cs.SI2017★ 34 cited

Underestimated cost of targeted attacks on complex networks

Xiao-Long Ren, Niels Gleinig, Dijana Tolic +1

The robustness of complex networks under targeted attacks is deeply connected to the resilience of complex systems, i.e., the ability to make appropriate responses to the attacks.…

physics.soc-ph2016★ 1.2k cited

Vital nodes identification in complex networks

Linyuan Lü, Duanbing Chen, Xiao-Long Ren +3

Real networks exhibit heterogeneous nature with nodes playing far different roles in structure and function. To identify vital nodes is thus very significant, allowing us to contro…