Artículo

Caridi, I.; Dorso, C.O.; Gallo, P.; Somigliana, C. "A framework to approach problems of forensic anthropology using complex networks" (2011) Physica A: Statistical Mechanics and its Applications. 390(9):1662-1676
La versión final de este artículo es de uso interno. El editor solo permite incluir en el repositorio el artículo en su versión post-print. Por favor, si usted la posee enviela a
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

We have developed a method to analyze and interpret emerging structures in a set of data which lacks some information. It has been conceived to be applied to the problem of getting information about people who disappeared in the Argentine state of Tucumn from 1974 to 1981. Even if the military dictatorship formally started in Argentina had begun in 1976 and lasted until 1983, the disappearance and assassination of people began some months earlier. During this period several circuits of Illegal Detention Centres (IDC) were set up in different locations all over the country. In these secret centres, disappeared people were illegally kept without any sort of constitutional guarantees, and later assassinated. Even today, the final destination of most of the disappeared people's remains is still unknown. The fundamental hypothesis in this work is that a group of people with the same political affiliation whose disappearances were closely related in time and space shared the same place of captivity (the same IDC or circuit of IDCs). This hypothesis makes sense when applied to the systematic method of repression and disappearances which was actually launched in Tucumn, Argentina (2007) [11]. In this work, the missing individuals are identified as nodes on a network and connections are established among them based on the individuals' attributes while they were alive, by using rules to link them. In order to determine which rules are the most effective in defining the network, we use other kind of knowledge available in this problem: previous results from the anthropological point of view (based on other sources of information, both oral and written, historical and anthropological data, etc.); and information about the place (one or more IDCs) where some people were kept during their captivity. For these best rules, a prediction about these people's possible destination is assigned (one or more IDCs where they could have been kept), and the success of the prediction is evaluated. By applying this methodology, we have been successful in 71% of the cases. The best rules take into account the proximity of the locations where the kidnappings took place, and link events which occurred in periods of time from 5 to 7 days. Finally, we used one of the best rules to build a network of IDCs in an attempt to formalize the relation between the illegal detention centres. We found that this network makes sense because there are survivors' testimonies which confirm some of these connections. © 2011 Elsevier B.V. All rights reserved.

Registro:

Documento: Artículo
Título:A framework to approach problems of forensic anthropology using complex networks
Autor:Caridi, I.; Dorso, C.O.; Gallo, P.; Somigliana, C.
Filiación:Department of Physics, FCEN, University of Buenos Aires, Argentina
Argentine Team of Forensic Anthropology, Argentina
Palabras clave:Complex networks; Forensic anthropology; Social networks; Argentina; Complex networks; Forensic anthropology; Military dictatorship; Social Networks; Systematic method; Time and space; Crime; Social networking (online); Circuit theory
Año:2011
Volumen:390
Número:9
Página de inicio:1662
Página de fin:1676
DOI: http://dx.doi.org/10.1016/j.physa.2010.11.042
Título revista:Physica A: Statistical Mechanics and its Applications
Título revista abreviado:Phys A Stat Mech Appl
ISSN:03784371
CODEN:PHYAD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v390_n9_p1662_Caridi

Referencias:

  • Barabasi, A.L., Albert, R., (2002) Review of Modern Physics, 74, p. 47
  • Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.H., (2006) Physics Reports, 424, p. 175
  • Newman, M.E.J., The structure and function of complex networks (2003) SIAM Review 45, 167, p. 256
  • Medus, A., Dorso, C.O., (2009) Physical Review e, 79 (6), p. 066111
  • Gonzalez, M.C., Herrmann, H.J., Kertsz, J., Vicsek, T., (2007) Physica A, 379, pp. 307-316
  • Clauset, A., Moore, C., Newman, M.E.J., (2008) Nature, 453, pp. 98-101
  • Rosvall, M., Bergstrom, C.T., An information-theoretic framework for resolving community structure in complex networks (2007) Proceedings of the National Academy of Sciences of the United States of America, 104 (18), pp. 7327-7331. , DOI 10.1073/pnas.0611034104
  • Gan, G., Ma, C., Wu, J., (2007) Data Clustering Theory, Algorithms, and Applications, , American Statistical Association Alexandria, Virginia
  • EAAF Is A Non-government, Non-profit Institution, Which Has Been Working on the Identification of the Remains of Missing People in over 50 Countries since 1985, , http://www.eaaf.org/, Web page of the Argentine Forensic Antrophological Team (EAAF)
  • (2008) Informe Anual EAAF, Años 2005, 2006, 2007, , Informe Especial EAAF-ILLID
  • note; Caridi, I., Claudio, O., Gallo, D.P., Somigliana, C., (2010) International Journal Bifurcation and Chaos, 409. , (special issue)
  • MacKay, D., (2003) Information Theory, Inference and Learning Algorithms, , Cambridge University Press
  • Cover, T.M., Thomas, J.A., Elements of Information Theory (1991) Wiley Series in Telecommunications
  • Weisstein, E.W., Bonferroni Correction, from MathWorld A Woldfram Web Resource, , http://mthworld.wolfram.com/BonferroniCorrection.html
  • Fisher, R.A., On the interpretation of χ2 from contingency tables, and the calculation of P (1922) Journal of the Royal Statistical Society, 85 (1), pp. 87-94
  • Casella-Berger, Statistical Inference (2001) Duxbury Advanced Series

Citas:

---------- APA ----------
Caridi, I., Dorso, C.O., Gallo, P. & Somigliana, C. (2011) . A framework to approach problems of forensic anthropology using complex networks. Physica A: Statistical Mechanics and its Applications, 390(9), 1662-1676.
http://dx.doi.org/10.1016/j.physa.2010.11.042
---------- CHICAGO ----------
Caridi, I., Dorso, C.O., Gallo, P., Somigliana, C. "A framework to approach problems of forensic anthropology using complex networks" . Physica A: Statistical Mechanics and its Applications 390, no. 9 (2011) : 1662-1676.
http://dx.doi.org/10.1016/j.physa.2010.11.042
---------- MLA ----------
Caridi, I., Dorso, C.O., Gallo, P., Somigliana, C. "A framework to approach problems of forensic anthropology using complex networks" . Physica A: Statistical Mechanics and its Applications, vol. 390, no. 9, 2011, pp. 1662-1676.
http://dx.doi.org/10.1016/j.physa.2010.11.042
---------- VANCOUVER ----------
Caridi, I., Dorso, C.O., Gallo, P., Somigliana, C. A framework to approach problems of forensic anthropology using complex networks. Phys A Stat Mech Appl. 2011;390(9):1662-1676.
http://dx.doi.org/10.1016/j.physa.2010.11.042