A new approach to organizations: Stability and transformation in dark social networks

W. F. Lawless, Fjorentina Angjellari-Dajci, Donald A. Sofge, James M Grayson, José Luis Sousa, Laura Jean Rychly

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Uncovering information from well-defined organizations for social network analysis is straightforward, but such analyses of social networks have not led to valid predictions about their actions or stability. For dark social networks, which comprise illicit drug gangs or terrorists, uncovering information to compute a social network analysis is more difficult to solve. The authors used a new theory that is based on the conservation of information to assess organizations and dark social networks, concluding that social network analyses that are properly constrained should be invaluable for bookkeeping (storing information recovered from neighborhood canvasses such as with the Defense Advanced Research Projects Agency’s Tactical Ground Reporting); for theory (e.g., angiogenesis, in which a tumor takes over the infrastructure of a body; a criminal street gang such as MS-13 takes control of its territory from city authorities); and for benchmarking (e.g., comparing operational performance of models with case studies or random graphs to assure equivalence between models). The results outline a path forward to advance the theory of organizations for enterprise change and continuity.

Original languageEnglish (US)
Pages (from-to)290-322
Number of pages33
JournalJournal of Enterprise Transformation
Volume1
Issue number4
DOIs
StatePublished - Jan 1 2011

Fingerprint

Electric network analysis
Benchmarking
Tumors
Conservation
Social networks
Industry
Social network analysis
Tumor
Random graphs
Bookkeeping
Business performance
Continuity
Prediction
Illicit drugs
Authority
Equivalence

Keywords

  • Conservation of information
  • Interdependence
  • Tradeoffs
  • Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Organizational Behavior and Human Resource Management
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

A new approach to organizations : Stability and transformation in dark social networks. / Lawless, W. F.; Angjellari-Dajci, Fjorentina; Sofge, Donald A.; Grayson, James M; Sousa, José Luis; Rychly, Laura Jean.

In: Journal of Enterprise Transformation, Vol. 1, No. 4, 01.01.2011, p. 290-322.

Research output: Contribution to journalArticle

Lawless, W. F. ; Angjellari-Dajci, Fjorentina ; Sofge, Donald A. ; Grayson, James M ; Sousa, José Luis ; Rychly, Laura Jean. / A new approach to organizations : Stability and transformation in dark social networks. In: Journal of Enterprise Transformation. 2011 ; Vol. 1, No. 4. pp. 290-322.
@article{8bebb264c1fe484d8bfc112274aba2dc,
title = "A new approach to organizations: Stability and transformation in dark social networks",
abstract = "Uncovering information from well-defined organizations for social network analysis is straightforward, but such analyses of social networks have not led to valid predictions about their actions or stability. For dark social networks, which comprise illicit drug gangs or terrorists, uncovering information to compute a social network analysis is more difficult to solve. The authors used a new theory that is based on the conservation of information to assess organizations and dark social networks, concluding that social network analyses that are properly constrained should be invaluable for bookkeeping (storing information recovered from neighborhood canvasses such as with the Defense Advanced Research Projects Agency’s Tactical Ground Reporting); for theory (e.g., angiogenesis, in which a tumor takes over the infrastructure of a body; a criminal street gang such as MS-13 takes control of its territory from city authorities); and for benchmarking (e.g., comparing operational performance of models with case studies or random graphs to assure equivalence between models). The results outline a path forward to advance the theory of organizations for enterprise change and continuity.",
keywords = "Conservation of information, Interdependence, Tradeoffs, Uncertainty",
author = "Lawless, {W. F.} and Fjorentina Angjellari-Dajci and Sofge, {Donald A.} and Grayson, {James M} and Sousa, {Jos{\'e} Luis} and Rychly, {Laura Jean}",
year = "2011",
month = "1",
day = "1",
doi = "10.1080/19488289.2011.623029",
language = "English (US)",
volume = "1",
pages = "290--322",
journal = "Journal of Enterprise Transformation",
issn = "1948-8297",
publisher = "Taylor and Francis Ltd.",
number = "4",

}

TY - JOUR

T1 - A new approach to organizations

T2 - Stability and transformation in dark social networks

AU - Lawless, W. F.

AU - Angjellari-Dajci, Fjorentina

AU - Sofge, Donald A.

AU - Grayson, James M

AU - Sousa, José Luis

AU - Rychly, Laura Jean

PY - 2011/1/1

Y1 - 2011/1/1

N2 - Uncovering information from well-defined organizations for social network analysis is straightforward, but such analyses of social networks have not led to valid predictions about their actions or stability. For dark social networks, which comprise illicit drug gangs or terrorists, uncovering information to compute a social network analysis is more difficult to solve. The authors used a new theory that is based on the conservation of information to assess organizations and dark social networks, concluding that social network analyses that are properly constrained should be invaluable for bookkeeping (storing information recovered from neighborhood canvasses such as with the Defense Advanced Research Projects Agency’s Tactical Ground Reporting); for theory (e.g., angiogenesis, in which a tumor takes over the infrastructure of a body; a criminal street gang such as MS-13 takes control of its territory from city authorities); and for benchmarking (e.g., comparing operational performance of models with case studies or random graphs to assure equivalence between models). The results outline a path forward to advance the theory of organizations for enterprise change and continuity.

AB - Uncovering information from well-defined organizations for social network analysis is straightforward, but such analyses of social networks have not led to valid predictions about their actions or stability. For dark social networks, which comprise illicit drug gangs or terrorists, uncovering information to compute a social network analysis is more difficult to solve. The authors used a new theory that is based on the conservation of information to assess organizations and dark social networks, concluding that social network analyses that are properly constrained should be invaluable for bookkeeping (storing information recovered from neighborhood canvasses such as with the Defense Advanced Research Projects Agency’s Tactical Ground Reporting); for theory (e.g., angiogenesis, in which a tumor takes over the infrastructure of a body; a criminal street gang such as MS-13 takes control of its territory from city authorities); and for benchmarking (e.g., comparing operational performance of models with case studies or random graphs to assure equivalence between models). The results outline a path forward to advance the theory of organizations for enterprise change and continuity.

KW - Conservation of information

KW - Interdependence

KW - Tradeoffs

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=84971408245&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84971408245&partnerID=8YFLogxK

U2 - 10.1080/19488289.2011.623029

DO - 10.1080/19488289.2011.623029

M3 - Article

AN - SCOPUS:84971408245

VL - 1

SP - 290

EP - 322

JO - Journal of Enterprise Transformation

JF - Journal of Enterprise Transformation

SN - 1948-8297

IS - 4

ER -