Resilometrical modeling of interactions in social resilience dimensions
The concept of resilience has been the subject of several researches particularly in areas such as ecology, psychology, economics etc. According to the discipline, resilience takes various definitions. Yet, in general, it is clear from those definitions that resilience is the ability of an entity to resist a shock, to face a disturbance, to recover or bounce back after a traumatic event. In recent years, there is increasing concern estimating and analyzing the process of resilience. In this context, resilience is seen as the result of several characteristics or factors known as dimensions of resilience.
In this paper, we present a summary of the main dimensions of resilience using various documents and articles. Then, we present a model for analyzing the interactions between these different dimensions. This model is an adaptation of the structural equations modeling with latent variables in the context of resilience.
Keywords: Résilience, Dimensions, Structural Équations Modeling with Latent variables, PLS Path Modeling.
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ABOUT THE AUTHORS
Coulibaly Kpinna Tiekoura
is in first year of thesis (PhD) at the university Nangui Abrogoua, member of the Research Laboratory in Computer Sciences and Telecommunications of Houphouët Boigny National Polytechnic Institute (INP-HB), Abidjan, Ivory Coast and member of the international resilience research group (UMI Resilience, IRD). His interests of the research include the mathematical modeling, the engineering of the media, the resilience process, Multidimensional Statistics, Artificial Intelligence, Machine Learning, Data Mining and Data Science. His works are centered on clustering methods adapted to resilience process.
Odilon Yapo M. Achiepo
is a statistician-economist Engineer (ENSEA Abidjan, Ivory Coast) and has a Master degree in Computer Science with specialization in Artificial Intelligence and Business Intelligence (Polytechnic School of Nantes, France). Ph-D student in Mathematics and Information Technologies (INPHB Yamoussoukro, Ivory Coast). He is also an International Senior-Expert Consultant, member of the international resilience research group (UMI Resilience, IRD) and is a member of the Laboratory of Computer Sciences and Telecommunications (INP-HB) Abidjan, Ivory Coast. His principals centers of interests are Computational Mathematics, Multidimensional Statistics, Artificial Intelligence, Multi-Agents Systems, Machine Learning, Data Mining, Data Science, Pattern Recognition, Embedded Systems and Robotics. He also is the author-creator of the Resilometrics, a modeling discipline which consists on developing and applies computational models for measure, analyze and simulate social resilience process.
Brou Konan Marcellin
is a Doctor in Computer Science and Teacher researcher at the Houphouët Boigny National Polytechnic Institute (INP-HB) of Yamoussoukro (Ivory Coast). He is the Director of the Department of Mathematics and Computer Science in that institute. He is a Member of Laboratory in Computer Sciences and Telecommunications (LARIT). His interests are information systems, database and programming languages.
Michel Babri
is a doctor in data processing and carries out research in the field of the data bases. He teaches data processing and the telecommunication in the Houphouët Boigny National Polytechnic Institute (INP-HB) of Yamoussoukro (Ivory Coast). He is the Director of the Laboratory in Computer Sciences and Telecommunications (LARIT) at Abidjan (Ivory Coast).
Coulibaly Kpinna Tiekoura
is in first year of thesis (PhD) at the university Nangui Abrogoua, member of the Research Laboratory in Computer Sciences and Telecommunications of Houphouët Boigny National Polytechnic Institute (INP-HB), Abidjan, Ivory Coast and member of the international resilience research group (UMI Resilience, IRD). His interests of the research include the mathematical modeling, the engineering of the media, the resilience process, Multidimensional Statistics, Artificial Intelligence, Machine Learning, Data Mining and Data Science. His works are centered on clustering methods adapted to resilience process.
Odilon Yapo M. Achiepo
is a statistician-economist Engineer (ENSEA Abidjan, Ivory Coast) and has a Master degree in Computer Science with specialization in Artificial Intelligence and Business Intelligence (Polytechnic School of Nantes, France). Ph-D student in Mathematics and Information Technologies (INPHB Yamoussoukro, Ivory Coast). He is also an International Senior-Expert Consultant, member of the international resilience research group (UMI Resilience, IRD) and is a member of the Laboratory of Computer Sciences and Telecommunications (INP-HB) Abidjan, Ivory Coast. His principals centers of interests are Computational Mathematics, Multidimensional Statistics, Artificial Intelligence, Multi-Agents Systems, Machine Learning, Data Mining, Data Science, Pattern Recognition, Embedded Systems and Robotics. He also is the author-creator of the Resilometrics, a modeling discipline which consists on developing and applies computational models for measure, analyze and simulate social resilience process.
Brou Konan Marcellin
is a Doctor in Computer Science and Teacher researcher at the Houphouët Boigny National Polytechnic Institute (INP-HB) of Yamoussoukro (Ivory Coast). He is the Director of the Department of Mathematics and Computer Science in that institute. He is a Member of Laboratory in Computer Sciences and Telecommunications (LARIT). His interests are information systems, database and programming languages.
Michel Babri
is a doctor in data processing and carries out research in the field of the data bases. He teaches data processing and the telecommunication in the Houphouët Boigny National Polytechnic Institute (INP-HB) of Yamoussoukro (Ivory Coast). He is the Director of the Laboratory in Computer Sciences and Telecommunications (LARIT) at Abidjan (Ivory Coast).
