Models Of Social Systems Research Articles

A neural network-based collaborative filtering model for social recommendation systems

A neural network-based collaborative filtering model for social recommendation systems

Exploring the effects of urban network topologies on entropy trajectories of segregation

Segregation is a threat to the aspirations of producing a cohesive society and modelling its dynamics can be done in order to help design preventative measures. This work explores the question of whether the network topologies of urban spaces can affect the pace at which populations can become segregated. The simulation dynamics employed augment the canonical Schelling model in such a way that it also captures the affinity for agents to prefer denser regions which also offer sufficient local homogeneity. It is shown that different networks synthetically generated and from real city maps can alter the rate of segregation. The results also show that using the entropy trace on the distribution of agent edge degree across all agents correlates with the segregation reinforcing the relevance of physics inspired modeling of social systems. This investigation shows that it is possible to explore and select network arrangements which can be less conducive towards segregation movements during the stages of urban planning so that the rate is reduced. An additional finding is that the entropic measure is closely associated with the common statistic for such modeling efforts.

The multilevel management system for Russian economy amid sanctions

In the face of large-scale international sanctions imposed by the collective West against Russia, it becomes imperative to reevaluate the conventional framework for guiding the Russian economy amid the emerging challenges and limitations. The article explores a multilevel system for managing Russian economy in the context of the global confrontation. The methodological foundation resides in the selective “incremental changes ideology” emphasising the necessity for disaggregation and decentralisation of economic policies to maximise the timeliness of managerial decisions. This approach contrasts with the holistic “total regulation ideology”, which focuses on the national development strategy on planning and reaching aggregate economic indicators. The paper applies the methods of traditional structural cybernetic and graphical modelling of social systems allowing for the specificities of the external environment. The evidence comes from a cluster of the most recent studies approaching the role of the international sanctions phenomenon in building an efficient national economy from different angles. The author presents an original graphical four-circuit concentric model complemented by a functional description of its constituent circuits (the core, priority industries, new production, and supporting industries) and management methods. The article provides examples of the management measures (massive centralised lending for new microchip production, creation of the state corporation Rospharma, etc.) that can be implemented within the four circuits of the model. These measures can be both soft (‘weak’) and hard (‘strong’) depending on whether they reject or take on administrative enforcement. It is noteworthy that the selective governance model will gradually evolve into a holistic model over time.

Active Engagement in Retirement: Factors That Influence the Participation of Older People in Community Volunteering

Although older adults participating in volunteering promotes “active ageing” and reduces social service burden, not many retied people in China participate in volunteering. Utilizing data from semi-structured interviews with 15 retired individuals in Beijing, this research explores the factors influencing their involvement in community volunteer services. Informed by resource theory and social ecological system theory, a hybrid three-level social ecological systems model is developed following thematic analysis. At the micro-level, foundational factors for volunteering are their human capital, including good health status, ample free time, and satisfaction with pensions. At the meso-level, social capital from family and peers provides essential information and support, while a cohesive community environment fostered through community and volunteer management enhances the willingness to volunteer. At the macro-level, CPC ideologies and governmental policies nurture a culture of volunteerism that facilitates community involvement. The study also investigates interactions across these levels: the microsystem and mesosystem mutually enhance human and social capital, whereas the macrosystem and mesosystem reflect the reciprocal influence of cultural on social capital. Recommendations are offered to increase retired people’s participation in community volunteering, emphasizing community management and governmental policy adjustments.

Evolutionary Digital Twin-Oriented Complex Networked Systems driven by node features and the mutation of feature preferences.

Accurate modelling of complex social systems, where people interact with each other and those interactions change over time, has been a research challenge for many years. This study proposes an evolutionary Digital Twin-Oriented Complex Networked System (DT-CNS) framework that considers heterogeneous node features and changeable connection preferences. We create heterogeneous preference mutation mechanisms to characterise nodes' adaptive decisions on preference mutation in response to interaction patterns and epidemic risks. In this space, we use nodes' interaction utilities to characterise the positive feedback from interactions and negative impact of epidemic risks. We also introduce social capital constraint to harness the density of social connections better. The nodes' heterogeneous preference mutation styles include the (i)inactive style that keeps initial social preferences, (ii) ignorant style that randomly mutates preferences, (iii) egocentric style that optimises individual interaction utility, (iv) cooperative style that optimises the total interaction utilities by group decisions and (v) collaborative style that further allows the cooperative nodes to transfer social capital. Our simulation experiments on evolutionary DT-CNSs reveal that heterogeneous preference mutation styles lead to various interaction and infection patterns. The results also show that (i) increasing social capital enables higher interactions but higher infection risks and uncertainty in decision-making; (ii) group decisions outperform individual decisions by eliminating the unawareness of the decisions of other nodes; (iii) the collaborative nodes under a strict social capital limit can promote interactions, reduce infection risks and achieve higher overall interaction utilities.

Social Optimization in Combination with the Theory of Entropy also

I have proposed to arrange the technology two-dimensionally, and to consider it three-dimensionally and in time series, as “the criteria for considering the technology”, since before.By the way, entropy express the concept which shows the randomness of molecular structure of material in thermodynamics. I thought whether the concept of entropy could be used in social phenomena in analogy to natural phenomena also, since social phenomena belong to natural phenomena.I think capitalism and democracy have more degree of freedom and diversity, compared to socialism and authoritarianism, therefore the formers is preferable to the latter. Entropy is larger in the former than in the latter.Current capitalism has the weakness of large disparity between rich and poor. The state participation should be required to diminish it. So it is rational that the public policy is based on the upper criteria.The value of the social system is for society to ensure the conditions of life and freedom. From this viewpoint, the coordination between the proper freedom and restriction to it is required. It should be decided by “democratic control by citizens”.Furthermore, whether populism is proper or not proper, is considered based on the upper model of social system, also.

Generative agent‐based modeling: an introduction and tutorial

AbstractWe discuss the emerging new opportunity for building feedback‐rich computational models of social systems using generative artificial intelligence. Referred to as generative agent‐based models (GABMs), such individual‐level models utilize large language models to represent human decision‐making in social settings. We provide a GABM case in which human behavior can be incorporated into simulation models by coupling a mechanistic model of human interactions with a pre‐trained large language model. This is achieved by introducing a simple GABM of social norm diffusion in an organization. For educational purposes, the model is intentionally kept simple. We examine a wide range of scenarios and the sensitivity of the results to several changes in the prompt. We hope the article and the model serve as a guide for building useful dynamic models of various social systems that include realistic human reasoning and decision‐making. © 2024 System Dynamics Society.

“Adversarial Quantum-Clustering” A New Methodological Approach to Social Systems Modeling

“Adversarial Quantum-Clustering” A New Methodological Approach to Social Systems Modeling

Combatting drought: a multi-dimensional challenge.

Water will be a major limitation to food production in the 21st century, and drought issues already prevail in many parts of the world. Finding solutions to ensure that farmers harvest profitable crops, and secure food supplies for families and feed for animals that will provide for them through to the next season are urgent necessities. The Interdrought community has been addressing this issue for almost 30 years in a series of international conferences, characterized by a multi-disciplinary approach across the domains of molecular biology, physiology, genetics, agronomy, breeding, environmental and social sciences, policy, and systems modeling. This special issue presents papers from the 7th edition of the conference, the first to be held in Africa, that paid special attention to drought in a smallholder context, adding a 'system' dimension to the crop focus from the previous Interdrought events (Varshney et al., 2018; Hammer et al., 2021).

Natural and historical aspects of the environmental monitoring in the city of Lviv

Purpose. To study the natural-historical aspects of the organization of monitoring the components of the natural environment in the territory of the city of Lviv, to identify the peculiarities of its organiza-tion at different historical stages of the functioning of the urban system, to highlight the specifics of the organization of environmental monitoring in modern conditions. Results Regular meteorological observations with the help of instruments began in Lviv in 1811, and observations and descriptions of the city's vegetation were carried out in the 1950s. Ya. Lagner. In 1944, the Department of Hydrometeorological Service of the Carpathian Military District was organized in Lviv. It included: weather bureau, group of hydrological forecasts, group of restoration of the network of stations. At the beginning of 1946, on the basis of this department, a hydrometeorological office was creat-ed, which since 1959 functioned as a hydrometeorological observatory (HMO) with groups: meteorologi-cal, hydrological forecasts and agrometeorological. In 1964, the Lviv Aerological Station became part of the GMO under the authority of the Aerology Department. Old, historical Lviv was located in the middle of large forests, had many streams, brooks, as well as rich flora. Such diversity is determined by the geo-graphical location, the history of the formation of the relief and climatic conditions in previous geological periods. The study of the landscape-natural primary basis in comparison with the built-up areas leads to the demarcation of the urban environment based on belonging to a certain type of natural landscape and thereby determines different approaches to its transformation. Background observation points located at nature conservation facilities provide information about the state and changes in the natural environment that occur outside of human activity. A comparative analysis of similar indicators obtained in areas with different degrees of urban influence will make it possible to reveal the real state of anthropogenic changes, identify their causes, predict the further consequences of urbanization, as well as build models of such social and production systems that would be the least harmful to the environment. Conclusions. Environmental monitoring in the territory of the city of Lviv has a long history. Moni-toring the state of the atmospheric air, water environment, biodiversity was and remains an important component in the issue of the quality of the urban environment and does not lose its importance. Environ-mental monitoring must be considered as an integral part of the regional management system of nature management, which must perform the target functions of continuous observation and forecasting of the main socio-ecological processes for the purpose of their analysis, identification and identification of the main factors for the preparation and adoption of management decisions.

Detecting early-warning signals for social emergencies by temporal network sociomarkers

The evolution and development of social systems are always accompanied by social emergencies, which affect people’s ordinary lives and even life safety. This study attempts to solve the problem of social system modeling and emergency prediction. First, the complex social relations in the social system are abstracted through the hierarchical inference model on temporal networks. Then, based on the critical transition theory in the dynamical system, the temporal network sociomarkers (TNS) method is proposed to perceive the tipping point of social emergencies. Experiments on two social system datasets verify that the bifurcation phenomenon also exists in social systems. The TNS method captures early warning signals (EWSs) before social emergencies and the sensitive groups that may be responsible for them. To our best knowledge, this study constructs a bridge between critical transition theory and complex social systems, providing theoretical and methodological support in security management, crisis intervention, and even battlefield situations with broad application prospects and great promotion value.

Research on Social Stability Early Warning Based on Social Stability Indicator System and Prediction Model

Research on Social Stability Early Warning Based on Social Stability Indicator System and Prediction Model

Guest Editorial Special Issue on Advanced Cognitive Computing for Data-Driven Computational Social Systems

Computational social systems (CSSs) focus on topics such as modeling, simulation, analysis, and understanding of social systems from the quantitative and/or computational perspective. “Systems” can be man–man, man–machine, and machine–machine organizations and adversarial situations as well as social media structures and their dynamics <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> . With the advance of the Internet of Things and communication technologies, various kinds of data from diverse areas can be acquired nowadays. As a result, CSSs are becoming ever more complex. Data-driven CSSs aim to conduct pre-competitive research on architectures and design, modeling, and analysis techniques for cyber-physical systems, with emphasis on making full use of big data and artificial intelligence. These applications include transportation systems, automation, security, smart buildings, smart cities, medical systems, energy generation and distribution, water distribution, agriculture, military systems, process control, asset management, and robotics <xref ref-type="bibr" rid="ref3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3]</xref> , <xref ref-type="bibr" rid="ref4" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[4]</xref> , <xref ref-type="bibr" rid="ref5" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[5]</xref> . However, due to the progressive transformation from host-centric networking to information-centric networking, CSSs pose fundamental challenges in multiple aspects, such as heterogeneous data generation, efficient data sensing and collection, real-time data processing, and greater request arrival rates. Thus, there is a great need for a powerful way that can deal with emerging issues in data-driven CSSs more efficiently and effectively in the age of big data.

A시 마을교육공동체의 운영체제 분석 및 유형 탐색

The aims of this study are to derive the characteristics of a village education community operating system and to categorize its type through analyzing the system of City “A”. In order to achieve the purpose of this study, the village education community operating system of City A is analyzed, and the characteristics of the operating system are drawn by applying an analysis framework utilizing Hoy and Miskel's school social system model for the village education community operating system. As a result, the characteristics of the operating system of the village education community in City A are derived as environmental characteristics and operational characteristics, and is categorized based on the derived characteristics from the Pulppuri-Network-Modification. The action plans are as follows: firstly, it is suggested that sharing information is preceded to lay a foundation for the village education community. Secondly, personal motivation, learning culture, consultative group, and leadership must be harmonized in order to continue the operating system. Thirdly, it is important to focus on the interaction of the operating system within the relationship, rather than quantifying the characteristics of the region. This study is significant in that it recognizes the importance of the local environmental characteristics for the operation of the village education community and suggests implications for the operation of the village education community.

Infrastructure Model Volunteered Geographic Infor-mation Social Assistance Program To Support eGovernment Case Study of Central Aceh District

The government's role in providing social assistance to reduce poverty has been going very well. However, in practice, there are obstacles to collecting and verifying data on prospective beneficiaries, so fast, precise, and accurate information is needed through the participation of the Community or Community to provide information regarding potential beneficiaries—social assistance. This study's goal is to create and develop a model of the Volunteered Geographic Information (VGI) system involving the participation of the Community to determine the effectiveness of the distribution of social assistance by the government and to support the role of a transparent government or good government. This research method is descriptive research with quantitative and qualitative descriptive approaches. This system also refers to the design, development, and stages of the VGI system process suitable for a crowd or community-based approach. The expected result is a VGI-based geographic information system: First: Collect and observe data on social assistance recipients in Aceh Tengah district, Aceh Province. Second: Designing and implementing a VGI-based geographic information system. Third: System testing through two stages: system functional and non-functional testing. The final results of this research are a web-based VGI Social Assistance system model and, for volunteers, the Android-based VGI Social Assistance application.

Non-Linear Models in Economic and Social Research

The article shows differences of presented models from models used in exact science. It analyzes the reasons why for mathematic models of economic and social systems we cannot reach the quantitative correlation of modeling results with indicators of real processes. The article discusses the qualitative identity of non-linear effects in mathematic models and real processes in natural scientific, economic and social systems. Irremovable uncertainty of economic and social system behavior and connected with this uncertainty chaotic component were shown as an integral feature of complicated system evolution. For simple natural scientific systems chaotic behavior is only one of possible forms of the dynamic process in line with determined behavior. For complicated systems a chaotic component is dominating. The author explains the impossibility and inefficiency of detailing and formalizing of economic and social system functioning above a certain level. The impact of initial data quality on results of modeling systems with different level of complexity was shown. The author proposes to use the concept of the strange attractor for substantiating the depth of planning and reporting in economic and social systems. Issues of self-organization and depth of forecasting for complicated system are studied. This information is considered to be a tool for managing economic and social systems. Promising variants of developing mathematic modeling in economic and social systems are analyzed.

Integrated Production System on Social Manufacturing: A Simulation Study

Abstract Today, the manufacturing industry must adapt to dynamic customer needs, changing from time to time following market trends. So that the production process in manufacturing requires adjustments, one of which is by forming social manufacturing. This study aims to create an integrated production system model based on social manufacturing, which involves several Socialized Manufacturing Resources (SMR) as manufacturing resources that are socialized to produce a product. The methods used are field observation, literature study, design of a social manufacturing-based production system model, model simulation using ProModel software, and analysis of model simulation results. In this study, the simulation involves four SMRs, each of which makes a part that has been given specifications by the manufacturer based on customer requests. The product produced is the Sanitation Chamber, which is equipped with a control system to monitor reading data via the internet. The model simulation uses the Pro Model software and analyzes resource use, location utilization, and resource costs.

Проблема сталого розвитку в кризових умовах і місце в ній питань ментальності й архетипіки

The paper examines the consideration of the problem of sustainable development in crises (including in the war and the postwar period). It evaluates how sustainable development research is changing and what tools modifications are needed for mathematical modelling these processes in this case. The author considers the examples of possible transformation of such problems in current conditions. The proposed research is based on the previous work of the authors on sustainable development, modelling of social and economic systems, and problems in education and science. In particular, the possibility of applying models from the class of ordinary differential equations, their systems, cellular automata, neural networks, multiagent systems, system dynamics and network theory, various databases and geographic information systems is emphasized. The approach’s main feature is to consider the possibility of formalizing the proposed sustainable development tasks, especially in crisis conditions. As a result of research and development, new knowledge was gained about the relevant processes, problem statements and the choice of mathematical models and methods for their study. The offered research and developments will help to consider specific tasks of sustainable development of functioning of Ukraine, including functions of education and science and many other things. Such research will help ensure the sustainable development of Ukraine in light of the conditions of war. Among the sections of the concept of sustainable development, an important place is taken by the influence of the role and impact of the human factor on the behaviour of large social systems. This can be addressed as conditionally questions of mentality. Among them, archetypal issues are essential. The archetype can be conditionally called the field of research, which considers the deep structures of consciousness, their stability and possible changes. In times of crisis, investigation into the influence of mental constructions and their possible changes is becoming increasingly important.

Introducing simple models of social systems

Learning to model social systems can foster critical thinking about the applications of mathematical methods to social issues and also lead to professional opportunities. I introduce an intriguing simple model proposed by Thomas Schelling to understand urban segregation. It shows that even when individual agents seek mixed neighborhoods, they can collectively create a segregated city that makes everyone unhappy. The model can be presented as a simple role-playing game or by a computer program. At a more advanced level, the methods of statistical physics provide a way to calculate equilibrium states corresponding to segregated configurations. I also discuss why physics inspired models have difficulties in understanding the complex dynamics of real social systems.

Critical condition identification and simulation of a continuous synergetic growth model based on dynamic software geogebra

Artificial Intelligence (AI), the emergence and development of social system model, are gradually affecting the development of system engineering technology and methods. AI mainly focuses on acquiring new knowledge or skills by looking for rules from observation data (samples); social system model mainly focuses on the ability of description and model demonstration from the current situation to the future. The combination of AI and social system model can promote the research of social problems related to system engineering. The synergetic growth of various sectors of the economic system depends on the initial level of output of each sector and its internal relations. This paper focuses on the internal relationship of the two-sector economic model and explores the impact of distribution relations on the synergetic growth of sectors. The study found that the necessary conditions for synergetic growth is a function of the profit rate, the difference between the labor income (or capital income) of the two sectors, and the marginal consumption propensity. This function has a more complex and nonlinear characteristic. By demonstrating the effects of changes in some parameters, we find that an increase in the profit rate requires that the income distribution structure of the two sectors tend to be the same; an increase in the marginal consumption propensity can allow for greater differences in the income distribution structure of the two sectors.