The Hidden Geometry of Complex, Network-Driven Contagion Phenomena

By Dirk Brockmann, Dirk Helbing. Science, 2013

1,215 citations recorded by the source corpus.

Subfields: Modeling and Simulation, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/cd6bebf5c6a00f75711fa92fb4662919ad837ad9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Modeling and Simulation

1. Cécile Viboud
2. Shweta Bansal
3. P. van den Driessche

In Public Health, Environmental and Occupational Health

1. Cécile Viboud
2. Gerardo Chowell
3. Damien Farine
4. Hal Whitehead
5. Shweta Bansal
6. L. Sattenspiel
7. P. van den Driessche

In Statistical and Nonlinear Physics

1. Celso Grebogi
2. Wenxu Wang
3. Ying-Cheng Lai
4. Cécile Viboud
5. Gerardo Chowell
6. Damien Farine
7. Hal Whitehead
8. Shweta Bansal

Citations in the corpus

• Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, background): “There have been pioneering efforts in addressing the source localization problem in complex networks, such as those based on the maximum likelihood estimation [416, 417], belief propagation [418], the phenomena of hidden geometry of contagion [419], particle diffusion and coloration [420], and inver”
• Saving Human Lives: What Complexity Science and Information Systems can Contribute (2014, neutral): “These fields increasingly include quantitative, realistic, and evenpredictivemodels,bringingtogetherstatisticaldataanalysis,modelingefforts,analytical approaches, and laboratory experiments.”
• The Emergence of Global Systemic Risk (2015, background): “In addition, shorter travel times have allowed diseases to be transported and transmitted before their symptoms are recognized (Brockmann & Helbing 2013, www.annualreviews.org • Emergence of Global Systemic Risk 14.13 Changes may still occur before final publication online and in print A nn u.”
• Mathematical models to characterize early epidemic growth: A Review (2016, background): “, behavioral, demographic, or social space), and they can almost always be modeled in similar fashion to geographic space (see, for example, [40,41]).”
• COVID-19 lockdown induces disease-mitigating structural changes in mobility networks (2020, neutral): “A similar relation has been found in empirical human mobility networks such as air traffic networks (23).”
• Constructing, conducting and interpreting animal social network analysis (2015, background): “…software packages for visualizing social networks. community delineation Some social networks are highly modular – the nodes form communities such that most edges (in a binary network) or a high proportion of the edge weight (in a weighted network) is within rather than between communities.”