most citedRanking in evolving complex networks

219 citations

5 papers

physics.soc-ph2019★ 8 cited

Where is your field going? A Machine Learning approach to study the relative motion of the domains of Physics

Andrea Palmucci, Hao Liao, Andrea Napoletano +1

We propose an original approach to describe the scientific progress in a quantitative way. Using innovative Machine Learning techniques we create a vector representation for the PA…

cs.SI2019★ 9 cited

Accumulative time-based ranking method to reputation evaluation in information networks

Hao Liao, Qi-xin Liu, Ze-cheng Huang +2

With the rapid development of modern technology, the Web has become an important platform for users to make friends and acquire information. However, since information on the Web i…

physics.soc-ph2017★ 219 cited

Ranking in evolving complex networks

Hao Liao, Manuel Sebastian Mariani, Matus Medo +2

Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex systems. The problem of ranking the nodes and the edges in complex…

physics.soc-ph2017★ 5 cited

Susceptible-infected-susceptible model on networks with eigenvector localization

Zong-Wen Wei, Bing-Hong Wang

It is a longstanding debate on the absence of threshold for susceptible-infected-susceptible (SIS) model on networks with finite second order moment of degree distribution. The eig…

physics.soc-ph2017★ 50 cited

Quantifying and suppressing ranking bias in a large citation network

Giacomo Vaccario, Matus Medo, Nicolas Wider +1

It is widely recognized that citation counts for papers from different fields cannot be directly compared because different scientific fields adopt different citation practices. Ci…