Modeling Social Resilience in Communities

Eunice E. Santos, Eugene Santos, John Korah, Jeremy E. Thompson, Yan Zhao, Vairavan Murugappan, Jacob A. Russell

Research output: Contribution to journalArticle

Abstract

One of the primary challenges of modeling the social resilience of communities is that resilience may depend on a number of multidomain factors, ranging from ecological to political. In addition, the impacts and interactions of the relevant factors may not be fully understood. There is also the challenge of representing the intricate behaviors of the social actors, both individuals and groups, in order to model their responses to perturbations in the environment and to internal changes. In light of these challenges, current works tend to make a number of simplifying assumptions. In this paper, we propose a computational framework to formulate multiple resilience functions, each modeling a particular hypothesis about the system's resilience. One of our key contributions is the ability to use social theories to compose these individual resilience functions into an umbrella resilience function, while providing qualitative analysis. We validate our framework by modeling the resilience of a fishing community in Somalia over the period of 1999-2012, as it underwent a series of dramatic ecological, political, and economic changes. We formulated resilience functions to computationally model the competing support for the community's traditional occupation of fishing and alternatively for taking up piracy on the high seas. We then provide an overall resilience function by combining these individual resilience functions using social theories such as the social norm theory and risk theory.

Original languageEnglish (US)
Pages (from-to)186-199
Number of pages14
JournalIEEE Transactions on Computational Social Systems
Volume5
Issue number1
DOIs
StatePublished - Mar 2018
Externally publishedYes

Fingerprint

Resilience
resilience
Modeling
community
Community
Social Norms
social norm
Risk Theory
Somalia
social function
piracy
social actor
Qualitative Analysis
Economics
political change
economic change
occupation
Tend
Internal
Perturbation

Keywords

  • Bayesian knowledge bases (BKBs)
  • community resilience
  • computational modeling
  • resilience function
  • social norms
  • social resilience

ASJC Scopus subject areas

  • Modeling and Simulation
  • Social Sciences (miscellaneous)
  • Human-Computer Interaction

Cite this

Santos, E. E., Santos, E., Korah, J., Thompson, J. E., Zhao, Y., Murugappan, V., & Russell, J. A. (2018). Modeling Social Resilience in Communities. IEEE Transactions on Computational Social Systems, 5(1), 186-199. https://doi.org/10.1109/TCSS.2017.2780125

Modeling Social Resilience in Communities. / Santos, Eunice E.; Santos, Eugene; Korah, John; Thompson, Jeremy E.; Zhao, Yan; Murugappan, Vairavan; Russell, Jacob A.

In: IEEE Transactions on Computational Social Systems, Vol. 5, No. 1, 03.2018, p. 186-199.

Research output: Contribution to journalArticle

Santos, EE, Santos, E, Korah, J, Thompson, JE, Zhao, Y, Murugappan, V & Russell, JA 2018, 'Modeling Social Resilience in Communities', IEEE Transactions on Computational Social Systems, vol. 5, no. 1, pp. 186-199. https://doi.org/10.1109/TCSS.2017.2780125
Santos, Eunice E. ; Santos, Eugene ; Korah, John ; Thompson, Jeremy E. ; Zhao, Yan ; Murugappan, Vairavan ; Russell, Jacob A. / Modeling Social Resilience in Communities. In: IEEE Transactions on Computational Social Systems. 2018 ; Vol. 5, No. 1. pp. 186-199.
@article{9c1265b9b7db4f1c92b483fb64603f6b,
title = "Modeling Social Resilience in Communities",
abstract = "One of the primary challenges of modeling the social resilience of communities is that resilience may depend on a number of multidomain factors, ranging from ecological to political. In addition, the impacts and interactions of the relevant factors may not be fully understood. There is also the challenge of representing the intricate behaviors of the social actors, both individuals and groups, in order to model their responses to perturbations in the environment and to internal changes. In light of these challenges, current works tend to make a number of simplifying assumptions. In this paper, we propose a computational framework to formulate multiple resilience functions, each modeling a particular hypothesis about the system's resilience. One of our key contributions is the ability to use social theories to compose these individual resilience functions into an umbrella resilience function, while providing qualitative analysis. We validate our framework by modeling the resilience of a fishing community in Somalia over the period of 1999-2012, as it underwent a series of dramatic ecological, political, and economic changes. We formulated resilience functions to computationally model the competing support for the community's traditional occupation of fishing and alternatively for taking up piracy on the high seas. We then provide an overall resilience function by combining these individual resilience functions using social theories such as the social norm theory and risk theory.",
keywords = "Bayesian knowledge bases (BKBs), community resilience, computational modeling, resilience function, social norms, social resilience",
author = "Santos, {Eunice E.} and Eugene Santos and John Korah and Thompson, {Jeremy E.} and Yan Zhao and Vairavan Murugappan and Russell, {Jacob A.}",
year = "2018",
month = "3",
doi = "10.1109/TCSS.2017.2780125",
language = "English (US)",
volume = "5",
pages = "186--199",
journal = "IEEE Transactions on Computational Social Systems",
issn = "2329-924X",
publisher = "IEEE Systems, Man, and Cybernetics Society",
number = "1",

}

TY - JOUR

T1 - Modeling Social Resilience in Communities

AU - Santos, Eunice E.

AU - Santos, Eugene

AU - Korah, John

AU - Thompson, Jeremy E.

AU - Zhao, Yan

AU - Murugappan, Vairavan

AU - Russell, Jacob A.

PY - 2018/3

Y1 - 2018/3

N2 - One of the primary challenges of modeling the social resilience of communities is that resilience may depend on a number of multidomain factors, ranging from ecological to political. In addition, the impacts and interactions of the relevant factors may not be fully understood. There is also the challenge of representing the intricate behaviors of the social actors, both individuals and groups, in order to model their responses to perturbations in the environment and to internal changes. In light of these challenges, current works tend to make a number of simplifying assumptions. In this paper, we propose a computational framework to formulate multiple resilience functions, each modeling a particular hypothesis about the system's resilience. One of our key contributions is the ability to use social theories to compose these individual resilience functions into an umbrella resilience function, while providing qualitative analysis. We validate our framework by modeling the resilience of a fishing community in Somalia over the period of 1999-2012, as it underwent a series of dramatic ecological, political, and economic changes. We formulated resilience functions to computationally model the competing support for the community's traditional occupation of fishing and alternatively for taking up piracy on the high seas. We then provide an overall resilience function by combining these individual resilience functions using social theories such as the social norm theory and risk theory.

AB - One of the primary challenges of modeling the social resilience of communities is that resilience may depend on a number of multidomain factors, ranging from ecological to political. In addition, the impacts and interactions of the relevant factors may not be fully understood. There is also the challenge of representing the intricate behaviors of the social actors, both individuals and groups, in order to model their responses to perturbations in the environment and to internal changes. In light of these challenges, current works tend to make a number of simplifying assumptions. In this paper, we propose a computational framework to formulate multiple resilience functions, each modeling a particular hypothesis about the system's resilience. One of our key contributions is the ability to use social theories to compose these individual resilience functions into an umbrella resilience function, while providing qualitative analysis. We validate our framework by modeling the resilience of a fishing community in Somalia over the period of 1999-2012, as it underwent a series of dramatic ecological, political, and economic changes. We formulated resilience functions to computationally model the competing support for the community's traditional occupation of fishing and alternatively for taking up piracy on the high seas. We then provide an overall resilience function by combining these individual resilience functions using social theories such as the social norm theory and risk theory.

KW - Bayesian knowledge bases (BKBs)

KW - community resilience

KW - computational modeling

KW - resilience function

KW - social norms

KW - social resilience

UR - http://www.scopus.com/inward/record.url?scp=85041652659&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041652659&partnerID=8YFLogxK

U2 - 10.1109/TCSS.2017.2780125

DO - 10.1109/TCSS.2017.2780125

M3 - Article

AN - SCOPUS:85041652659

VL - 5

SP - 186

EP - 199

JO - IEEE Transactions on Computational Social Systems

JF - IEEE Transactions on Computational Social Systems

SN - 2329-924X

IS - 1

ER -