STATE FAILURE AS A FACTOR IN INTERNATIONAL GLOBAL COUNTERACTING OPERATIONS: NETWORK MODELING
DOI:
https://doi.org/10.14308/ite000347Keywords:
complex networks, mapping, graphical representations, counteract disasters, emergency managementAbstract
In the paper are considered the need for build cooperation and collaboration among all entities and actors. Comprehensive Network Lace is based on an end-to-end description of major categories of interactions for sets of entities using a multilayer (multi-level) variety of complex networks.
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References
<uk>
1. M.Aminova, A.Caruso, A.Rossodivita, A.Tikhomirov, A.Trufanov, R.Umerov. State Failure as a Factor in International Global Counteracting Medical Opeations: Network Modelling / World Congress on Disaster and Emergency Medicine, Beijing, China, 2011.
2. А.Россодивита, А.Труфанов, Р.Умеров / Новые аспекты применения IT-рычагов (доктрин, моделей, инструментов) в противодействии глобальным угрозам. – К.: Информацио Консорциум, 2010. – 64 с.
3. R.Laporte, A.Trufanov. Information Security Approaches to Provide Social System Continuity in Conditions of Chemical, Biological, Radiological and Nuclear Threats. In “Strengthening National Public Health Preparedness and Response for Chemical, Biological, and Radiological Agents Threats”. C.E.Cummings and E.Stikova (Eds.) IOS Press, 2007. Pp.45-52 ];
4. A.-L. Barabási, R. Albert, H. Jeong. Mean-field theory for scale-free random networks. Physica A 272, 1999, p. 173–187.
5. F.Galindo, M.Guidotti,V.Gulevich,E. Gursky, S.Kolesnikov, S. Koptilov, R. Laporte, F.Linkov, M. Ranghieri,A. Rossodivita, E. Shubnikov, E. Stikova, A. Trufanov, and N.Vinograd. Information Sharing in Knowledge Society. Collection of Absracts, ASI “Preparing Regional Leaders with the Knowledge, Training and Instruments for Information Sharing and Decision-Making against Biological Threats and Pandemics”, November, 30 – December 8, 2008, Milan, ITALY, p. 12-15.
6. Tikhomirov A.A., Trufanov A.I. Hyper-complex networks: new models for socio – economic and bio-social processes interpretation, http://www.pitt.edu/~super1/lecture/lec43841/index.htm
</uk>
<en>
1. M.Aminova, A.Caruso, A.Rossodivita, A.Tikhomirov, A.Trufanov, R.Umerov. State Failure as a Factor in International Global Counteracting Medical Opeations: Network Modelling / World Congress on Disaster and Emergency Medicine, Beijing, China, 2011.
2. A.Rossodivita, A.Trufanov, R.Umerov / Novye aspekty primenenija IT-rychagov (doktrin, modelej, instrumentov) v protivodejstvii global'nym ugrozam. – K.: Informacio Konsorcium, 2010. – 64 s.
3. R.Laporte, A.Trufanov. Information Security Approaches to Provide Social System Continuity in Conditions of Chemical, Biological, Radiological and Nuclear Threats. In “Strengthening National Public Health Preparedness and Response for Chemical, Biological, and Radiological Agents Threats”. C.E.Cummings and E.Stikova (Eds.) IOS Press, 2007. Pp.45-52 ];
4. A.-L. Barabási, R. Albert, H. Jeong. Mean-field theory for scale-free random networks. Physica A 272, 1999, p. 173–187.
5. F.Galindo, M.Guidotti,V.Gulevich,E. Gursky, S.Kolesnikov, S. Koptilov, R. Laporte, F.Linkov, M. Ranghieri,A. Rossodivita, E. Shubnikov, E. Stikova, A. Trufanov, and N.Vinograd. Information Sharing in Knowledge Society. Collection of Absracts, ASI “Preparing Regional Leaders with the Knowledge, Training and Instruments for Information Sharing and Decision-Making against Biological Threats and Pandemics”, November, 30 – December 8, 2008, Milan, ITALY, p.12-15.
6. Tikhomirov A.A., Trufanov A.I. Hyper-complex networks: new models for socio – economic and bio-social processes interpretation, http://www.pitt.edu/~super1/lecture/lec43841/index.htm
</en>
1. M.Aminova, A.Caruso, A.Rossodivita, A.Tikhomirov, A.Trufanov, R.Umerov. State Failure as a Factor in International Global Counteracting Medical Opeations: Network Modelling / World Congress on Disaster and Emergency Medicine, Beijing, China, 2011.
2. А.Россодивита, А.Труфанов, Р.Умеров / Новые аспекты применения IT-рычагов (доктрин, моделей, инструментов) в противодействии глобальным угрозам. – К.: Информацио Консорциум, 2010. – 64 с.
3. R.Laporte, A.Trufanov. Information Security Approaches to Provide Social System Continuity in Conditions of Chemical, Biological, Radiological and Nuclear Threats. In “Strengthening National Public Health Preparedness and Response for Chemical, Biological, and Radiological Agents Threats”. C.E.Cummings and E.Stikova (Eds.) IOS Press, 2007. Pp.45-52 ];
4. A.-L. Barabási, R. Albert, H. Jeong. Mean-field theory for scale-free random networks. Physica A 272, 1999, p. 173–187.
5. F.Galindo, M.Guidotti,V.Gulevich,E. Gursky, S.Kolesnikov, S. Koptilov, R. Laporte, F.Linkov, M. Ranghieri,A. Rossodivita, E. Shubnikov, E. Stikova, A. Trufanov, and N.Vinograd. Information Sharing in Knowledge Society. Collection of Absracts, ASI “Preparing Regional Leaders with the Knowledge, Training and Instruments for Information Sharing and Decision-Making against Biological Threats and Pandemics”, November, 30 – December 8, 2008, Milan, ITALY, p. 12-15.
6. Tikhomirov A.A., Trufanov A.I. Hyper-complex networks: new models for socio – economic and bio-social processes interpretation, http://www.pitt.edu/~super1/lecture/lec43841/index.htm
</uk>
<en>
1. M.Aminova, A.Caruso, A.Rossodivita, A.Tikhomirov, A.Trufanov, R.Umerov. State Failure as a Factor in International Global Counteracting Medical Opeations: Network Modelling / World Congress on Disaster and Emergency Medicine, Beijing, China, 2011.
2. A.Rossodivita, A.Trufanov, R.Umerov / Novye aspekty primenenija IT-rychagov (doktrin, modelej, instrumentov) v protivodejstvii global'nym ugrozam. – K.: Informacio Konsorcium, 2010. – 64 s.
3. R.Laporte, A.Trufanov. Information Security Approaches to Provide Social System Continuity in Conditions of Chemical, Biological, Radiological and Nuclear Threats. In “Strengthening National Public Health Preparedness and Response for Chemical, Biological, and Radiological Agents Threats”. C.E.Cummings and E.Stikova (Eds.) IOS Press, 2007. Pp.45-52 ];
4. A.-L. Barabási, R. Albert, H. Jeong. Mean-field theory for scale-free random networks. Physica A 272, 1999, p. 173–187.
5. F.Galindo, M.Guidotti,V.Gulevich,E. Gursky, S.Kolesnikov, S. Koptilov, R. Laporte, F.Linkov, M. Ranghieri,A. Rossodivita, E. Shubnikov, E. Stikova, A. Trufanov, and N.Vinograd. Information Sharing in Knowledge Society. Collection of Absracts, ASI “Preparing Regional Leaders with the Knowledge, Training and Instruments for Information Sharing and Decision-Making against Biological Threats and Pandemics”, November, 30 – December 8, 2008, Milan, ITALY, p.12-15.
6. Tikhomirov A.A., Trufanov A.I. Hyper-complex networks: new models for socio – economic and bio-social processes interpretation, http://www.pitt.edu/~super1/lecture/lec43841/index.htm
</en>
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Published
28.06.2012
How to Cite
Tikhomirov, A., Trufanov, A., Caruso, A., Rossodivita А., Umerov, R., & Umerova, Z. (2012). STATE FAILURE AS A FACTOR IN INTERNATIONAL GLOBAL COUNTERACTING OPERATIONS: NETWORK MODELING. Journal of Information Technologies in Education (ITE), (13), 077–083. https://doi.org/10.14308/ite000347
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