Global Manhunt Pushes the Limits of Social Mobilization

Rahwan, Iyad; Dsouza, Sohan; Rutherford, Alex; Naroditskiy, Victor; McInerney, James O.; Venanzi, Matteo; Jennings, Nicholas R.; Cebrián, Manuel

doi:10.1109/mc.2012.295

Cited by 34 publications

(22 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The targets were visible for only 12 h and followed normal itineraries around the cities of Stockholm, London, Bratislava, New York, and Washington DC. Our winning team located three of the five suspects using social media, without any of the team members being based in any of the target cities (10), demonstrating yet another example of time-critical social mobilization in tasks that require coverage of large geographies.…”

mentioning

confidence: 99%

Limits of social mobilization

Rutherford¹,

Cebrián

Dsouza³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

The Internet and social media have enabled the mobilization of large crowds to achieve time-critical feats, ranging from mapping crises in real time, to organizing mass rallies, to conducting searchand-rescue operations over large geographies. Despite significant success, selection bias may lead to inflated expectations of the efficacy of social mobilization for these tasks. What are the limits of social mobilization, and how reliable is it in operating at these limits? We build on recent results on the spatiotemporal structure of social and information networks to elucidate the constraints they pose on social mobilization. We use the DARPA Network Challenge as our working scenario, in which social media were used to locate 10 balloons across the United States. We conduct high-resolution simulations for referral-based crowdsourcing and obtain a statistical characterization of the population recruited, geography covered, and time to completion. Our results demonstrate that the outcome is plausible without the presence of mass media but lies at the limit of what time-critical social mobilization can achieve. Success relies critically on highly connected individuals willing to mobilize people in distant locations, overcoming the local trapping of diffusion in highly dense areas. However, even under these highly favorable conditions, the risk of unsuccessful search remains significant. These findings have implications for the design of better incentive schemes for social mobilization. They also call for caution in estimating the reliability of this capability.social networks | human dynamics

show abstract

mentioning

confidence: 99%

Limits of social mobilization

Rutherford¹,

Cebrián

Dsouza³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Th is led to a follow-up contest called the Tag Challenge fro m the U.S. Depart ment of State [7], in which the task was to find five people across five cit ies and two continents within t welve hours [25]. The winning team found three of the five people and used an incentive scheme similar to the one that won the Network Challenge.…”

Section: Related Workmentioning

confidence: 99%

“…The winning team found all the balloons in less than nine hours, utilizing a recursive incentive structure that rewarded participants both for jo ining the search as well as for growing the team [6]. Since then, mobilizat ion exercises such as the Tag Challenge have shown that teams can locate people of interest across North America and Europe [7]. The MyHeartMap Challenge mapped over 1,500 defibrillators in Philadelphia County [8].…”

Section: Introductionmentioning

confidence: 99%

The Whodunit Challenge: Mobilizing the Crowd in India

Vashistha

Vaish

Cutrell

et al. 2015

Human-Computer Interaction – INTERACT 2015

View full text Add to dashboard Cite

“…In [9], the authors have attempted to identified the occurrence of "anomalous" communities in such phased-based systems. Another perspective is taken by Rahwan et al [11], where they consider how "social mobilisation" could be used to enable the detection of rare events (considered in the context of the DARPA "Network Challenge" [12] and the subsequent "Tag Challenge"). Both challenges aimed to leverage on social networks to locate 10 weather balloons tethered at random locations or required teams to locate and photograph 5 people across cities in two continents.…”

Section: Related Workmentioning

confidence: 99%

Towards Real-Time Probabilistic Risk Assessment by Sensing Disruptive Events from Streamed News Feeds

Burnap

Rana

Pauran

et al. 2014

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems

View full text Add to dashboard Cite

Abstract-Risk management has become an important concern over recent years and understanding how risk models could be developed based on the availability of real time (streaming) data has become a challenge. As the volume and velocity of event data (from news media, for instance) continues to grow, we investigate how such data can be used to inform the development of dynamic risk models. A Bayesian Belief Network based approach is adopted in this work, which is able to make use of priors derived from a variety of different news sources (based on data available in RSS feeds).

show abstract

Global Manhunt Pushes the Limits of Social Mobilization

Cited by 34 publications

References 17 publications

Limits of social mobilization

Limits of social mobilization

The Whodunit Challenge: Mobilizing the Crowd in India

Towards Real-Time Probabilistic Risk Assessment by Sensing Disruptive Events from Streamed News Feeds

Contact Info

Product

Resources

About