activity
20012019
most citedIdentification of influential spreaders in complex networks

3.3k citations · 6.2k across the 28 of their papers we have counts for

collaborators

30 papers

physics.soc-ph2019★ 4 cited

Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social Networks

Xin Lu, Shuo Qin, Petter Holme +4

Peer influence and social contagion are key denominators in the adoption and participation of information spreading, such as news propagation, word-of-mouth or viral marketing. In…

q-bio.PE2016★ 39 cited

Modeling contact networks of patients and MRSA spread in Swedish hospitals

Luis E C Rocha, Vikramjit Singh, Markus Esch +4

Methicillin-resistant Staphylococcus aureus (MRSA) is a difficult-to-treat infection that only in the European Union affects about 150,000 patients and causes extra costs of 380 mi…

physics.soc-ph2016★ 25 cited

Non-trivial Resource Amount Requirement in the Early Stage for Containing Fatal Diseases

Xiaolong Chen, Tianshou Zhou, Ling Feng +4

During an epidemic control, the containment of the disease is usually achieved through increasing devoted resource to shorten the duration of infectiousness. However, the impact of…

physics.soc-ph2015★ 17 cited

Finding influential spreaders from human activity beyond network location

Byungjoon Min, Fredrik Liljeros, Hernán A. Makse

Most centralities proposed for identifying influential spreaders on social networks to either spread a message or to stop an epidemic require the full topological information of th…

physics.soc-ph2015★ 28 cited

Mechanistic Models in Computational Social Science

Petter Holme, Fredrik Liljeros

Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have a 60-year long history. They have b…

stat.AP2015★ 31 cited

Respondent-driven sampling bias induced by clustering and community structure in social networks

Luis Enrique Correa Rocha, Anna Ekeus Thorson, Renaud Lambiotte +1

Sampling hidden populations is particularly challenging using standard sampling methods mainly because of the lack of a sampling frame. Respondent-driven sampling (RDS) is an alter…