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                            Library & Multimedia
 Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks
NCJ Number
              306081

Author(s)
          Daniel Kosmas;
                        Thomas C. Sharkey;
                        John E. Mitchell;
                        Kayse Lee Maass;
                        Lauren Martin
Date Published

December 2022
Annotation
              The authors examine a new class of multi-period network interdiction problems, in which interdiction and restructuring decisions are decided upon before a domestic sex trafficking network is operated and implemented throughout the time horizon.
Abstract
              The authors discuss how they apply this new problem to disrupting domestic sex trafficking networks and introduce a variant where a second cooperating attacker has the ability to interdict victims and prevent the recruitment of prospective victims. This problem is modeled as a bilevel mixed integer linear program (BMILP) and is solved using column-and-constraint generation with partial information. They also simplify the BMILP when all interdictions are implemented before the network is operated. Modeling-based augmentations are proposed to significantly improve the solution time in a majority of instances tested. They apply their method to synthetic domestic sex trafficking networks and discuss policy implications from their model. In particular, they show how preventing the recruitment of prospective victims may be as essential to disrupting sex trafficking as interdicting existing participants. (Published abstract provided)
      
  
          Additional Details
Grant Number(s)
        2020-R2-CX-0022


  
  
        
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        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Disrupting Human Trafficking Networks through Mathematical Modeling: Addressing Replacement Effects and Uncertain Information
    
  
  
Date Published: December 1, 2022
    
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