In the context of social media, the phenomenon of rumoring plays an increasingly significant role that profoundly affects various aspects of public psychology and social order. However, in the Chinese context, the microstructure of rumor propagation has yet to be explored, and few distinguishing propagation patterns have been proposed. This study focuses on the propagation patterns of rumors on social media and characterizes and analyzes them along three dimensions: propagation paths, propagation velocity, and propagation scope. Through principal component analysis and cluster analysis, we successfully identified three differentiated rumor propagation modes: the extensively connected propagation mode, the deep propagation mode, and the slow diffusion propagation mode. By meticulously distinguishing and analyzing these three propagation modes in social media, this study not only deepens our understanding of the mechanisms of rumor propagation but also provides practical value for the prevention and control of rumors. This study also contributes to crowd science by revealing collective behavioral patterns underlying rumor propagation.
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Open Access
Issue
Open Access
Issue
Human-Machine Collaboration (HMC) is a pivotal manifestation of collective intelligence in the digital age, where the synergistic interaction of humans, machines, and physical systems drives socio-economic evolution. This paper redefines HMC through the lens of co-evolution of human and machine capabilities and distributed decision-making, systematically analyzing its development history, collaboration models, and transformative impact on productivity, innovation, and labor markets. This paper believes that human-machine collaboration is the collaborative participation of people and machines in solving problems. It introduces various models of human-machine collaboration from the perspective of automation and autonomy, and discusses the criteria for selecting appropriate models. In terms of economic and social impact, this article first summarizes the existing quantitative measurement methods at the national, regional, and enterprise levels, and discusses the economic impact and impact path of human-machine collaboration from the micro, market, and macro levels of individuals and enterprises. Finally, this paper proposes future research directions, including the improvement of quantitative data of human-machine collaboration, the clarification of the issue of legal responsibility, the formulation of management-level strategies, and in-depth research in the fields of medical care, aviation, banking, etc. This paper aims to deepen the understanding of human-machine collaboration and provide reference for future research.
Open Access
Issue
With the rapid economic development, megacities have gathered a large number of population and industries, and a series of “urban diseases” have also emerged. To alleviate these problems, various administrative measures have been taken to control population and optimize industrial distribution. Meanwhile, home-purchase restriction (HPR) has been introduced to control the soaring housing prices. Existing research focuses on the impact of policy on its own market, without paying attention to the linkage between markets and spillover effect. We take Beijing, the capital of China, as an example to study the impact of the HPR on the population distribution and industry development of megacities. By analyzing the industry location quotient and population economy matching degree, we conclude that HPR effectively promotes the efficiency of population and industry dispersal, but increases the mismatching between industry and population. City is a typical intelligent system that gathers various intelligent agents, and the development of its population and industry is the fundamental evolution of the system. This paper explores the role of policies in the evolution of urban intelligent systems, and therefore has important theoretical and practical significance for intelligent systems.
Open Access
Research paper
Issue
The originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the level of intelligence is not sufficient, due to many limitations, such as the unclear definition of intelligence and the inconformity of human intelligence quotient (IQ) test and artificial intelligence assessment methods. This paper aims to propose a new crowd intelligence measurement framework from the harmony of adaption and practice to measure intelligence in crowd network.
The authors draw on the ideas of traditional Confucianism, which sees intelligence from the dimensions of IQ and effectiveness. First, they clarify the related concepts of intelligence and give a new definition of crowd intelligence in the form of a set. Second, they propose four stages of the evolution of intelligence from low to high, and sort out the dilemma of intelligence measurement at the present stage. Third, they propose a framework for measuring crowd intelligence based on two dimensions.
The generalized IQ operator model is optimized, and a new IQ algorithm is proposed. Individuals with different IQs can have different relationships, such as cooperative, competitive, antagonistic and so on. The authors point out four representative forms of intelligence as well as its evolution stages.
The authors, will use more rigorous mathematical symbols to represent the logical relationships between different individuals, and consider applying the measurement framework to a real-life situation to enrich the research on crowd intelligence in the further study.
Intelligence measurement is one of foundations of crowd science. This research lays the foundation for studying the interaction among human, machine and things from the perspective of crowd intelligence, which owns significant scientific value.
Open Access
Literature review
Issue
In studies related to education, sociology and economics, the relationship between students’ social relationships and their academic performance is one of the most important research topics; a large number of research studies have focused on it. This study aims to analyze the previous studies about social interaction and academic performance and attempts to reveal the underlying mechanism.
This study uses CiteSpace to analyze 1,843 articles on social relationships and academic performance from 2001 to 2019. According to the co-cited literature network results in CiteSpace, this study proposes an adapted conceptual framework of the relationship between social relationships and academic performance. This paper further examines more studies about the two most-cited articles in the co-cited literature network for better understanding.
From the results of the co-cited literature network, this study determines that school engagement is an important mediator between social relationships and academic performance. This paper further examines studies on school engagement and determine that, along with the self-determination theory, school engagement is influenced by multiple components of self-determination theory: autonomy, competence and relatedness.
According to the visual result in CiteSpace, this study examines a research trend in which researchers scholars start to conduct micro and detailed empirical research on the impact of the specific social networks on academic performance because of the progress of information technology. Therefore, based on the previous literature that we have analyzed, this study predicts that the trend of using information technology, such as data mining or data analysis, in this academic field will become a mainstream practice in the future.
Open Access
Literature review
Issue
This paper aims to provide a survey of existing literature on the economic impacts of the internet on firm development, and outlines an overall framework of the existing studies. The purpose is to show how the internet affects firm development, which may help policymakers and other researchers to have a better knowledge of existing research characteristics, problems and future directions.
The authors review the studies on the economic impacts of the internet on firm characteristics and external environment, identify the characteristics of the existing literature and problems and discuss the directions of possible future research.
The authors find that the impacts of the internet on firm development mainly display two relevant mechanisms (firm characteristics and external environment), and they can be grouped into six channels (firm innovation, firm business mode, firm performance, firm productivity, firm import and export trade and firm location selection).
This study builds up a framework of how the internet impacts on firm development, which can add value to the future research of firm intelligent transaction modes in the crowd intelligence network.
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