title: Limits of social mobilization.
abstract: 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 search-and-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.
authors.affiliation: Computing and Information Science, Masdar Institute of Science and Technology, Abu Dhabi 54224, United Arab Emirates.
authors.forename: Alex
authors.initials: A
authors.lastname: Rutherford
authors.forename: Manuel
authors.initials: M
authors.lastname: Cebrian
authors.forename: Sohan
authors.initials: S
authors.lastname: Dsouza
authors.forename: Esteban
authors.initials: E
authors.lastname: Moro
authors.forename: Alex
authors.initials: A
authors.lastname: Pentland
authors.forename: Iyad
authors.initials: I
authors.lastname: Rahwan
mesh_terms: D003198:Computer Simulation; D063045:Crowdsourcing / Q000379:methods* / Q000706:statistics & numerical data; D005843:Geography; D006801:Humans; D020407:Internet; D008962:Models, Theoretical; D011156:Population Density; D061108:Social Media; D060756:Social Networking