Cyber-physical-social systems (CPSS), an emerging cross-disciplinary research area, combines cyber-physical systems (CPS) with social networking for the purpose of providing personalized services for ...humans. CPSS big data, recording various aspects of human lives, should be processed to mine valuable information for CPSS services. To efficiently deal with CPSS big data, artificial intelligence (AI), an increasingly important technology, is used for CPSS data processing and analysis. Meanwhile, the rapid development of edge devices with fast processors and large memories allows local edge computing to be a powerful real-time complement to global cloud computing. Therefore, to facilitate the processing and analysis of CPSS big data from the perspective of multi-attributes, a cloud-edge-aided quantized tensor-train distributed long short-term memory (QTT-DLSTM) method is presented in this article. First, a tensor is used to represent the multi-attributes CPSS big data, which will be decomposed into the QTT form to facilitate distributed training and computing. Second, a distributed cloud-edge computing model is used to systematically process the CPSS data, including global large-scale data processing in the cloud, and local small-scale data processed at the edge. Third, a distributed computing strategy is used to improve the efficiency of training via partitioning the weight matrix and large amounts of input data in the QTT form. Finally, the performance of the proposed QTT-DLSTM method is evaluated using experiments on a public discrete manufacturing process dataset, the Li-ion battery dataset, and a public social dataset.
In this paper we compare 10 established frameworks for analyzing social-ecological systems. We limited ourselves to frameworks that were explicitly designed to be used by a wider community of ...researchers and practitioners. Although all these frameworks seem to have emerged from the need for concepts that permit structured, interdisciplinary reasoning about complex problems in social-ecological systems, they differ significantly with respect to contextual and structural criteria, such as conceptualization of the ecological and social systems and their interrelation. It appears that three main criteria suffice to produce a classification of frameworks that may be used as a decision tree when choosing a framework for analysis. These criteria are (i) whether a framework conceptualizes the relationship between the social and ecological systems as being uni- or bidirectional; (ii) whether it takes an anthropocentric or an ecocentric perspective on the ecological system; and (iii) whether it is an action-oriented or an analysis-oriented framework.
Drawing from collaborative public management, this article seeks to contribute to public service logic by focusing on what precedes the public service user's realization of value: the value ...proposition. A new care model for elderly people with multiple chronic diseases shows that coordinators with an inter-organizational mission, vertical and horizontal supporting structures, trust established through relationships, and recognition of service systems' embeddedness in social systems are pivotal for the ability of public service organizations to develop coordinated value propositions. The contribution to policy and practice is an increased understanding of a coherent, rather than fragmented, welfare system for users/citizens.
•New stochastic model of the dynamics of state-to-state transitions in social systems.•Memory and self-organization of the system are considered in the model.•The model can be applied for monitoring ...the state of a social network structure.•Permits calculating percolation threshold for society's transition into certain state.
This conceptual research presents a new stochastic model of the dynamics of state-to-state transitions in social systems, the Zhukov–Khvatova model. Employing a mathematical approach based on percolation theory the model caters for random changes, system memory and self-organisation. Curves representing the approach of the system to the percolation threshold differ significantly from the smooth S-shaped curves predicted by existing models, showing oscillations, steps and abrupt steep gradients.
The modelling approach is new, working with system level parameters, avoiding reference to node-level changes and modelling a non-Markov process by including self-organisation and the effects (memory) of previous system states over a configurable number of time intervals. Computational modelling is used to demonstrate how the percolation threshold (i.e. the share of nodes which allows information to spread freely within the network) is reached.
Possible applications of the model discussed include modelling the dynamics of viewpoints in society during social unrest and elections, changing attitudes in social networks and forecasting the outcome of promotions or uptake of campaigns. The easy availability of system level data (network connectivity, evolving system penetration) makes the model a particularly valuable addition to the toolkit for social sciences, politics, and potentially marketing.
With the recent advances of the Internet of Things (IoT), and the increasing accessibility to ubiquitous computing resources and mobile devices, the prevalence of rich media contents, and the ensuing ...social, economic, and cultural changes, computing technology and applications have evolved quickly over the past decade. They now go beyond personal computing, facilitating collaboration and social interactions in general, causing a quick proliferation of social relationships among IoT entities. The increasing number of these relationships and their heterogeneous social features have led to computing and communication bottlenecks that prevent the IoT network from taking advantage of these relationships to improve the offered services and customize the delivered content, known as social relationships explosion. On the other hand, the quick advances in artificial intelligence applications in social computing have led to the emerging of a promising research field known as artificial social intelligence (ASI) that has the potential to tackle the social relationships explosion problem. This article discusses the role of IoT in social relationships management, the problem of social relationships explosion in IoT, and reviews the proposed solutions using ASI, including social-oriented machine-learning and deep-learning techniques.
In the article the author’s own theoretical view, intended to describe the specificity and condition of contemporary society, is presented. The approach discussed in the paper refers to the ...functionalist tradition in sociology, emphasizing the systemic nature of such social entities as society. At the same time, the conventional premise of functionalism regarding the cohesive nature of social systems is rejected here. Accordingly, the theoretical approach proposed is called social disintegration theory. Six theorems of this theory are introduced and discussed in the paper.
Ecosystems have a huge impact on social systems through providing diverse services. Sustainable management of social and ecological systems requires the quantification of spatial relationships ...between the supply, demand, and use of these ecosystem services. The main purpose of this paper was to provide a framework addressing all the complicated relationships of ecosystem services between ecological and social systems. Sustainable management cannot be achieved without considering these complex relationships. To simplify these complexities, management priorities must be identified. In this study, spatial changes of supply, use, and demand of ecosystem services and their main drivers were investigated. A Public Participation Geographic Information System was used to map the supply, demand and use of 19 ecosystem services in semiarid landscapes of Iran. Multi Criteria Decision Making methods were also used to link ecosystem services to social well-being. The main drivers of tradeoffs between supply, use, and demand of ecosystem services were determined using General Linear Method. The results showed that there was a synergy between supply, demand and use of ecosystem services in highlands. The deficit zones of ecosystem services were concentrated in lowlands. Provisioning services were the most important services for social well-being. The framework presented in this paper revealed all the complex relationships that the environmental management is faced with in ecosystem and social systems. Simplifying integrated relationships in both ecosystems (supply) and social systems (demand and use) helps sustainable management of ecosystems under environmental and social changes.
•Ecosystems have a huge impact on social systems through providing diverse services.•A framework was provide to address all the relationships of ecosystem services.•There was a strong synergy between supply, demand and use of ecosystem services.•Biophysical factors were the most important factors driving synergies.•Cultural services were highly related to health index of social well-being.
In this article, we extend research on neighborhood social isolation by (1) examining residents of disadvantaged and advantaged communities and (2) considering the character of neighborhoods where ...people conduct routine activities away from home. We contend that social isolation is experienced by residents of both highly disadvantaged and highly advantaged neighborhoods because the two groups spend time in largely nonoverlapping parts of the city. Individual and neighborhood raceethnic dynamics exacerbate such social isolation. Data from the Los Angeles Family and Neighborhood Survey show that social isolation is experienced by residents of all areas of the city, whether highly disadvantaged or advantaged. African Americans, Latinos and residents of areas with many Latinos suffer additional penalties in the social isolation of disadvantage in where they conduct routine activities.
The vast and growing array of concepts, methods and tools in the sustainability field imply a need for a structuring and coordinating framework, including a unifying and operational definition of ...sustainability. One attempt at such framework began over 25 years ago and is now widely known as the Framework for Strategic Sustainable Development. However, as with the larger sustainability field, the social dimension of this framework has been found to not be sufficiently science-based and operational and thus in need of further development. In this two-part series an attempt at a science-based, operational definition of social sustainability is presented. In this paper (part one), a systems-based approach to the social system is presented, as a basis for presenting a zero-hypothesis of principles for social sustainability in part two. Extensive literature studies as well as conceptual modelling sessions were performed and the social system was examined from various angles – complex adaptive system studies, human needs theory and other social sciences, and insights from these fields were woven together. The whole work was structured and guided by the Framework for Strategic Sustainable Development. The focus of the study was on the essential aspects of the social system that need to be sustained (that cannot be systematically degraded) for it to be possible for people to meet their needs. These essential aspects were found to be trust, common meaning, diversity, capacity for learning and capacity for self-organization. Trust seems to be generally acknowledged to be the overriding aspect of a vital social system. A sense of common meaning is also stated by several authors as an important part of social capital and something that helps to keep a group or society together. Diversity is acknowledged as essential for resilience; in the human social system this can be interpreted as, e.g., diversity of personalities, ages, gender, skills. Capacity for learning and self-organization are also motivated from a resilience point of view by several authors. These results form a basis for the hypothesis for a definition of social sustainability presented in paper 2, which in turn is a step towards creating an enhanced support for strategic planning and innovation for sustainability.
•A systems-based approach to social sustainability is presented.•Five essential aspects of the social system are identified.•The result provides a basis for a definition of social sustainability.
This paper addresses the limited research on the metaverse's application in the construction industry. It aims to investigate how the metaverse can empower construction, identify adoption barriers, ...and determine the most significant barriers. We propose a novel application framework of construction metaverse based on cyber-physical-social systems, identify 17 barriers using the political-economic-social-technological framework, and employ an expert survey and bi-objective optimization to rank the barriers. Results indicate that scalability, lack of policy incentives, and immature business models are the most critical barriers. The findings provide valuable insights for researchers, practitioners, and policymakers in the construction industry, helping to allocate resources effectively and drive metaverse development. The study's importance lies in its potential to guide successful metaverse integration in construction, leading to improved efficiency and innovation. This research inspires future work on specific metaverse applications in construction and interdisciplinary research to understand and overcome the identified barriers.
•We propose a CPSS-based framework for construction metaverse.•We identify the barriers that hinder the construction metaverse application.•We evaluate critical levels of identified barriers.
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