Coevolution spreading in complex networks

W Wang, QH Liu, J Liang, Y Hu, T Zhou - Physics Reports, 2019 - Elsevier
The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

A scientometric review of emerging trends and new developments in recommendation systems

MC Kim, C Chen - Scientometrics, 2015 - Springer
Recommendation systems have drawn an increasingly broad range of interest since early
1990s. Recently, a search with the query of “recommendation systems” on Google Scholar …

[LIBRO][B] Bursty human dynamics

M Karsai, HH Jo, K Kaski - 2018 - Springer
Bursty dynamics is a common temporal property of various complex systems in nature but it
also characterises the dynamics of human actions and interactions. At the …

Evidence for a bimodal distribution in human communication

Y Wu, C Zhou, J **ao, J Kurths… - Proceedings of the …, 2010 - National Acad Sciences
Interacting human activities underlie the patterns of many social, technological, and
economic phenomena. Here we present clear empirical evidence from Short Message …

Origins of power-law degree distribution in the heterogeneity of human activity in social networks

L Muchnik, S Pei, LC Parra, SDS Reis, JS Andrade Jr… - Scientific reports, 2013 - nature.com
The probability distribution of number of ties of an individual in a social network follows a
scale-free power-law. However, how this distribution arises has not been conclusively …

Scaling laws of human interaction activity

D Rybski, SV Buldyrev, S Havlin… - Proceedings of the …, 2009 - National Acad Sciences
Even though people in our contemporary technological society are depending on
communication, our understanding of the underlying laws of human communicational …

Circadian pattern and burstiness in mobile phone communication

HH Jo, M Karsai, J Kertész, K Kaski - New Journal of Physics, 2012 - iopscience.iop.org
The temporal communication patterns of human individuals are known to be
inhomogeneous or bursty, which is reflected as heavy tail behavior in the inter-event time …

Human dynamics revealed through Web analytics

B Gonçalves, JJ Ramasco - Physical Review E—Statistical, Nonlinear, and …, 2008 - APS
The increasing ubiquity of Internet access and the frequency with which people interact with
it raise the possibility of using the Web to better observe, understand, and monitor several …

Zipf's law leads to Heaps' law: Analyzing their relation in finite-size systems

L Lü, ZK Zhang, T Zhou - PloS one, 2010 - journals.plos.org
Background Zipf's law and Heaps' law are observed in disparate complex systems. Of
particular interests, these two laws often appear together. Many theoretical models and …

Social network based microblog user behavior analysis

Q Yan, L Wu, L Zheng - Physica A: Statistical Mechanics and Its …, 2013 - Elsevier
The influence of microblog on information transmission is becoming more and more
obvious. By characterizing the behavior of following and being followed as out-degree and …