output
19982026
most citedAEDGE: Atomic Experiment for Dark Matter and Gravity Exploration in Space

365 citations

Showing physics.soc-phShow all

7 papers · 1 filter

physics.soc-ph2025★ 1 cited

Herd Immunity with Spatial Adaptation Based on Global Prevalence Information

Akhil Panicker, Sasidevan V

During an epidemic outbreak, individuals often modify their behavior in response to global prevalence cues, using spatially mediated adaptations such as reduced mobility or transmi…

physics.soc-ph2024★ 1 cited

Modelling competition for space: Emergent inefficiency and inequality due to spatial self-organization among a group of crowd-avoiding agents

Ann Mary Mathew, V Sasidevan

Competition for a limited resource is the hallmark of many complex systems, and often, that resource turns out to be the physical space itself. In this work, we study a novel model…

physics.soc-ph2022★ 7 cited

Social adaptive behavior and oscillatory prevalence in an epidemic model on evolving random geometric graphs

Akhil Panicker, V Sasidevan

Our recent experience with the COVID-19 pandemic amply shows that spatial effects like the mobility of agents and average interpersonal distance, together with the adaptation of ag…

physics.soc-ph2019★ 5 cited

Quantifying information loss on chaotic attractors through recurrence networks

K. P. Harikrishnan, R. Misra, G. Ambika

We propose an entropy measure for the analysis of chaotic attractors through recurrence networks which are un-weighted and un-directed complex networks constructed from time series…

physics.soc-ph2017★ 22 cited

Epidemic prevalence information on social networks mediates emergent collective outcomes in voluntary vaccine schemes

Anupama Sharma, Shakti N. Menon, V. Sasidevan +1

The success of a vaccination program is crucially dependent on its adoption by a critical fraction of the population, as the resulting herd immunity prevents future outbreaks of an…

physics.soc-ph2016★ 5 cited

When Big Data Fails! Relative success of adaptive agents using coarse-grained information to compete for limited resources

V. Sasidevan, Appilineni Kushal, Sitabhra Sinha

The recent trend for acquiring big data assumes that possessing quantitatively more and qualitatively finer data necessarily provides an advantage that may be critical in competiti…

physics.soc-ph2016★ 73 cited

Measure for degree heterogeneity in complex networks and its application to recurrence network analysis

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

We propose a novel measure of degree heterogeneity, for unweighted and undirected complex networks, which requires only the degree distribution of the network for its computation.…