The Social Amplifier—Reaction of Human Communities to Emergencies

This paper develops a methodology to aggregate signals in a network regarding some hidden state of the world. We argue that focusing on edges around hubs will under certain circumstances amplify the faint signals disseminating in a network, allowing for more efficient detection of that hidden state. We apply this method to detecting emergencies in mobile phone data, demonstrating that under a broad range of cases and a constraint in how many edges can be observed at a time, focusing on the egocentric networks around key hubs will be more effective than sampling random edges. We support this conclusion analytically, through simulations, and with analysis of a dataset containing the call log data from a major mobile carrier in a European nation.

• Publication year

  2013

• Venue

  Journal of statistical physics

• Publication date

  2013-07-02

• Fields of study

  Sociology, Computer Science

• Identifiers
  DOI 10.1007/s10955-013-0759-z
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Trade-Offs in Social and Behavioral Modeling in Mobile Networks

  2013cited by this paper
• How Many Makes a Crowd? On the Evolution of Learning as a Factor of Community Coverage

  2012cited by this paper
• Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data

  2011cited by this paper
• Collective Response of Human Populations to Large-Scale Emergencies

  2011influential reference
• Stealing Reality: When Criminals Become Data Scientists (or Vice Versa)

  2011cited by this paper
• Role of network structure and network effects in diffusion of innovations

  2010cited by this paper
• What is social network analysis

  2010cited by this paper
• Network Diversity and Economic Development

  2010cited by this paper
• Impact of network structure on a model of diffusion and competitive interaction

  2010cited by this paper
• Inferring friendship network structure by using mobile phone data

  2009cited by this paper
• Meme-tracking and the dynamics of the news cycle

  2009cited by this paper
• Understanding individual human mobility patterns

  2008cited by this paper
• Social Networks that matter: Twitter under the Microscope

  2008cited by this paper
• Statistical mechanics of complex networks

  2007cited by this paper
• Uncovering individual and collective human dynamics from mobile phone records

  2007cited by this paper
• Quantifying social group evolution

  2007cited by this paper
• Inferring Social Network Structure using Mobile Phone Data

  2006cited by this paper
• Structure and tie strengths in mobile communication networks

  2006cited by this paper
• Ising model in scale-free networks: a Monte Carlo simulation.

  2004cited by this paper
• Evolution and Structure of the Internet: Index

  2004cited by this paper
• Statistical mechanics of complex networks

  2001cited by this paper
• Error and attack tolerance of complex networks

  2000cited by this paper
• Epidemic spreading in scale-free networks.

  2000cited by this paper
• LOF: identifying density-based local outliers

  2000cited by this paper
• Social Network Analysis: Methods and Applications

  1994cited by this paper
• Social Network Analysis: Methods and Applications

  1994cited by this paper
• The Strength of Weak Ties

  1973cited by this paper
• Pervasive and Mobile Computing

  year unknowncited by this paper

• Human emergency behaviour and psychological stress characteristic mining based on large-scale emergencies

  2024cites this paper
• Analysis of the Causes of Cyber Violence from the Perspective of Gender -- Taking the "Guangzhou Metro Stealth Shooting Incident" as an Example

  2023cites this paper
• Recent Developments in the Theory and Applicability of Swarm Search

  2023cites this paper
• Can Machine Learning Really Detect Cyberbullying?

  2023cites this paper
• DNN Intellectual Property Extraction Using Composite Data

  2022cites this paper
• Remaining popular: power-law regularities in network dynamics

  2022cites this paper
• Human Emergency Behaviour Characteristics in Large-scale Emergencies Based on Mobile Communication Data

  2021cites this paper
• Cyberbullying in Online/E-Learning Platforms Based on Social Networks

  2021cites this paper
• ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions

  2020cites this paper
• On cyberbullying incidents and underlying online social relationships

  2018cites this paper
• Methods for quantifying effects of social unrest using credit card transaction data

  2018cites this paper
• Network Analysis of ERC20 Tokens Trading on Ethereum Blockchain

  2018cites this paper
• Social Signals in the Ethereum Trading Network

  2018cites this paper
• Ride Sharing and Dynamic Networks Analysis

  2017cites this paper
• Beyond the "single-operator, CDR-only" paradigm: An interoperable framework for mobile phone network data analyses and population density estimation

  2017cites this paper
• Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata

  2017cites this paper
• If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts

  2016cites this paper
• Cyberbullying detection using probabilistic socio-textual information fusion

  2016cites this paper
• An overview and perspective on social network monitoring

  2016influential citation
• Temporal Predictability of Online Behavior in Foursquare

  2016cites this paper
• Ride Sharing: A Network Perspective

  2015cites this paper
• A survey of results on mobile phone datasets analysis

  2015cites this paper
• Social Behavior Bias and Knowledge Management Optimization

  2015cites this paper
• A DYNAMIC COGNITIVE SYSTEM FOR AUTOMATIC DETECTION AND PREVENTION OF CYBER-BULLYING ATTACKS

  2015cites this paper
• Temporal patterns of emergency calls of a metropolitan city in China

  2015cites this paper
• Analysis and exploitation of mobile traffic datasets

  2015cites this paper
• Cyber Bullying Detection Using Social and Textual Analysis

  2014cites this paper
• Wired to Connect: Analyzing Human Communication and Information Sharing Behavior during Extreme Events

  year unknowncites this paper