The Two-Factor (Authority-Solidarity) Model of Society's Structural Cycles in the Evolutionary Perspective
Bibliographic Data
| ID | 12870645 |
|---|---|
| Authors | Sergey V Dobrolyubov (corresponding author) |
| Year | 2021 |
| Volume | 20 |
| Issue | 1 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Evolution & History (JOURNAL) |
| Journal identifiers | ISSN: 1681-4363 |
| Publisher | Uchitel Publishing House (PUBLISHER • RU) |
| DOI | 10.30884/seh/2021.01.03 |
| OpenAlex | W3170884300 |
| Language | EN |
| References cited | 8 |
The two-factor model of social dynamics describes the rise and decline of political integrity and collective solidarity of different scales. The model takes into account two factors of change -social authority and collective solidarity, and considers two structural entities that embody these factors -political organization and society itself. For the analytical distinction between power and society, the model uses general concepts of a collective agent and a collective subject. A collective agent is any organized group of people who carry out collective actions through the use of social power. It is an active social entity and an agent of intentional social transformations. Collective subject is a commonality that carries collective self-awareness and solidarity. It is an inertial and unintentional social entity that preserves social tradition, culture, collective identity and etc. Political and societal entity effects on each other with time lag and this gives a cyclical pattern to the dynamics of the entire socio-political structure. The model can be used for explanatory and forecasting purposes, and also for reconciliation of the unilinear (progressive) and multilinear (nondirectional, cyclical, etc.) evolutionary concepts. Finally, an interpretation of the structural transformations of Ancient Rus and Russia is given in terms of the model
Factor (programming language · Perspective (graphical · Political science · Sociology · Solidarity · Computer Science · Economic Development and Digital Transformation · Opinion Dynamics and Social Influence · Artificial Intelligence · Law
| Highly cited | No |
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