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Register a new userThe Structure, the Dynamics and the Survivability of Social Systems
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Authors
Ingo Piepers
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Social systems must fulfil four basic functions to ensure their survival in competitive conditions. Social systems must provide for: (1) energy and other necessities of life, (2) security against external and internal threats, (3) identity and self-development, and (4) consistency and direction. These functions result in four more or less autonomous aspect systems; these aspect systems interact. Between the variables of basic functions and variables of aspect systems, a minimal level of consistency is required to facilitate growth and development, and to ensure the (future) survivability of the social system. Sooner or later, growth, change, and differentiated development result in inconsistencies within/between basic functions and aspect systems. These inconsistencies affect the effectiveness and efficiency of these social systems to provide for the basic functions. Periodically, deliberate or spontaneous corrective adjustments of social systems are required, to correct for these inconsistencies.
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In this paper I propose a mechanism for the explanation of power-law characteristics of casualty dynamics in inter-state wars, intra-state wars and terrorist attacks: the scale-free physical organization of social systems. Other explanations - self-organized criticality (Cederman, 2003) and the redistribution of total attack capabilities (Johnson et al. 2006) - do not provide a consistent framework for the power-law characteristics of casualty dynamics. The development in time of the power-law characteristics of casualty dynamics during wars and conflicts provides clues for the functioning of social systems which are targeted, and/or for the (in)effectiveness and strategies of actors using force (violence) against these social systems.
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We consider an approach to the analysis of nonstationary processes based on the application of wavelet basis sets constructed using segments of the analyzed time series. The proposed method is applied to the analysis of time series generated by a nonlinear system with and without noise
Percolation and synchronization are two phase transitions that have been extensively studied since already long ago. A classic result is that, in the vast majority of cases, these transitions are of the second-order type, i.e. continuous and reversible. Recently, however, explosive phenomena have been reported in com- plex networks structure and dynamics, which rather remind first-order (discontinuous and irreversible) transitions. Explosive percolation, which was discovered in 2009, corresponds to an abrupt change in the networks structure, and explosive synchronization (which is concerned, instead, with the abrupt emergence of a collective state in the networks dynamics) was studied as early as the first models of globally coupled phase oscillators were taken into consideration. The two phenomena have stimulated investigations and de- bates, attracting attention in many relevant fields. So far, various substantial contributions and progresses (including experimental verifications) have been made, which have provided insights on what structural and dynamical properties are needed for inducing such abrupt transformations, as well as have greatly enhanced our understanding of phase transitions in networked systems. Our intention is to offer here a monographic review on the main-stream literature, with the twofold aim of summarizing the existing results and pointing out possible directions for future research.
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