Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis
Name
ASG14.pdf
Description
Accepted version
Size
871.79 KB
Format
Adobe PDF
Checksum (MD5)
1d0834d84161f8cdcf5c503957d8664f
Author(s)
Altshuler, Yaniv
Shmueli, Erez
Zyskind, Guy
Lederman, Oren
Oliver, Nuria
Pentland, Alex
Date Issued
2014
Journal
IEEE Transactions on Computational Social Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Altshuler, Y., et al. "Campaign Optimization through Behavioral Modeling and Mobile Network Analysis." IEEE Transactions on Computational Social Systems 1 2 (2014): 121-34.
Version
Author's final manuscript
Abstract
© 2014 IEEE. Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of "target individuals," with the ultimate goal of "winning" as many of them as possible, such as in marketing, service provision, political campaigns, or homeland security. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. In this paper, we propose a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. We validate our proposed model using real world mobility data.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TCSS.2014.2377831
