Using generalized annotated programs to solve social network optimization problems

Paulo Shakarian, V. S. Subrahmanian, Maria Luisa Sapino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Reasoning about social networks (labeled, directed, weighted graphs) is be- coming increasingly important and there are now models of how certain phenomena (e.g. adoption of products/services by consumers, spread of a given disease) "diffuuse" through the network. Some of these diffusion models can be expressed via generalized annotated programs (GAPs). In this paper, we consider the following problem: suppose we have a given goal to achieve (e.g. maximize the expected number of adoptees of a product or minimize the spread of a disease) and suppose we have limited resources to use in trying to achieve the goal (e.g. give out a few free plans, provide medication to key people in the SN) - how should these resources be used so that we optimize a given objective function related to the goal? We define a class of social network optimization problems (SNOPs) that supports this type of reasoning. We formalize and study the complexity of SNOPs and show how they can be used in conjunction with existing economic and disease diffusion models.

Original languageEnglish (US)
Title of host publicationTechnical Communications of the 26th International Conference on Logic Programming, ICLP 2010
Pages182-191
Number of pages10
DOIs
StatePublished - 2010
Event26th International Conference on Logic Programming, ICLP 2010 - Edinburgh, United Kingdom
Duration: Jul 16 2010Jul 19 2010

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume7
ISSN (Print)1868-8969

Other

Other26th International Conference on Logic Programming, ICLP 2010
CountryUnited Kingdom
CityEdinburgh
Period7/16/107/19/10

ASJC Scopus subject areas

  • Software

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    Shakarian, P., Subrahmanian, V. S., & Sapino, M. L. (2010). Using generalized annotated programs to solve social network optimization problems. In Technical Communications of the 26th International Conference on Logic Programming, ICLP 2010 (pp. 182-191). (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 7). https://doi.org/10.4230/LIPIcs.ICLP.2010.182