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
AU - Sousa, José Luis
AU - Rychly, Laura
N1 - Funding Information:
16. Translated by W. McCants, a Fellow at West Point, and funded by the John M. Olin Institute for
Funding Information:
For the first author, this material is based upon work supported by, or in part by, the U.S. Army Research Laboratory and the U.S. Army Research Office under contract/grant number W911NF-10-1-0252. The first author thanks the American Society for Engineering Education for funding his 2009 summer research fellowship at the Naval Research Laboratory, Roger Hillson for his advice and technical assistance, Ruth Willis for her assignment of this summer’s research problem at NRL, and Doug Clark for his collegial support.
Publisher Copyright:
© IIE and INCOSE.
PY - 2011
Y1 - 2011
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
SN - 1948-8289
VL - 1
SP - 290
EP - 322
JO - Journal of Enterprise Transformation
JF - Journal of Enterprise Transformation
IS - 4
ER -