Quantifying Information Flow During Emergencies
arXiv:1401.1274 · doi:10.1038/srep03997
Abstract
Recent advances on human dynamics have focused on the normal patterns of human activities, with the quantitative understanding of human behavior under extreme events remaining a crucial missing chapter. This has a wide array of potential applications, ranging from emergency response and detection to traffic control and management. Previous studies have shown that human communications are both temporally and spatially localized following the onset of emergencies, indicating that social propagation is a primary means to propagate situational awareness. We study real anomalous events using country-wide mobile phone data, finding that information flow during emergencies is dominated by repeated communications. We further demonstrate that the observed communication patterns cannot be explained by inherent reciprocity in social networks, and are universal across different demographics.
arXiv commentUnder review in Scientific Reports
References in corpus (26)
- Understanding individual human mobility patterns
- The origin of bursts and heavy tails in human dynamics
- The scaling laws of human travel
- Structure and tie strengths in mobile communication networks
- A universal model for mobility and migration patterns
- Multiscale mobility networks and the large scale spreading of infectious diseases
- Modeling the scaling properties of human mobility
- Prediction and predictability of global epidemics: the role of the airline transportation network
- Forecast and Control of Epidemics in a Globalized World
- Modeling bursts and heavy tails in human dynamics
- Novelty and Collective Attention
- Understanding the spreading patterns of mobile phone viruses
- Uncovering individual and collective human dynamics from mobile phone records
- Patterns of link reciprocity in directed networks
- Human Dynamics: The Correspondence Patterns of Darwin and Einstein
- Collective response of human populations to large-scale emergencies
- Characterizing and modeling the dynamics of online popularity
- Scaling laws of human interaction activity
- The Dynamics of a Mobile Phone Network
- Human dynamics revealed through Web analytics
- Circadian pattern and burstiness in mobile phone communication
- Communication activity in a social network: relation between long-term correlations and inter-event clustering
- Reciprocity of Networks with Degree Correlations and Arbitrary Degree Sequences
- Natural emergence of clusters and bursts in network evolution
- Reciprocity of mobile phone calls
- Weighted reciprocity in human communication networks
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- Prediction and Characterization of High-Activity Events in Social Media Triggered by Real-World News
- Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
- An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China
- Upscaling human activity data: an ecological perspective
- From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
- Universal Knowledge Discovery from Big Data: Towards a Paradigm Shift from 'Knowledge Discovery' to 'Wisdom Discovery'