Paper Search
30 Most Down Articles
Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month| Most Downloaded in Recent Year|

Most Downloaded in Recent Month
Please wait a minute...
For Selected: View Abstracts Toggle Thumbnails
Bionic Computing in Higher Organisms from the Perspective of Collective Intelligence: Problem Analysis and Comprehensive Review
XIAO Renbin, WU Bowen, ZHAO Jia, CHEN Zhizhen
Complex Systems and Complexity Science    2025, 22 (1): 1-10.   DOI: 10.13306/j.1672-3813.2025.01.001
Abstract   PDF (1619KB)  
Focusing on higher organisms, this paper analyzes and develops a comprehensive review of the problems in bionic computing and also proposes and expounds some new views and insights, from the perspective of collective intelligence as a whole, which includes swarm intelligence and crowd intelligence. On the basis of an overview on the research progress of bionic computation in higher organisms (including fundamental higher organisms, regular higher organisms and quasi-man organisms), the reflux phenomenon in the research on the trend of making algorithms marked by “zoo algorithm” in swarm intelligence optimization is found. A reasonable interpretation of the reasons for the formation of the trend of making algorithms from both the bionic-computational dimension and the problem-method dimension. Furthermore, the overall idea of problem solving is given, and the two main development directions of bionic computing for collective intelligence are refined and formed. Emphasis on the expansion of bionic behavior towards cooperative behavior is dominant in the direction of collective intelligence bionic computing development. Aiming at the difficulties existing in the research of swarm intelligence optimization, five bottlenecks that need to be focused on to achieve breakthroughs are proposed. Based on the overall view of “metaphorical bionic computing-normative bionic computing-complex bionic computing”, the new paradigm of intelligent computing of complex bionic computing is advocated, which can guide the direction for higher organism bionic computing.
Reference | Related Articles | Metrics
An Opinion Dynamics Approach to Public Opinion Reversion with the Guidance of Opinion Leaders
LIU Qi, XIAO Renbin
Complex Systems and Complexity Science    2019, 16 (1): 1-13.   DOI: 10.13306/j.1672-3813.2019.01.001
Abstract   PDF (2214KB)  
Opinion reversion is an important phenomenon in network emergencies and hot events. In order to explore the internal mechanism and the evolution law of public opinion reversion, we propose an opinion evolution model based on opinion leaders from the perspective of opinion dynamics. The model is applied to simulate the evolution process of public opinion under the guidance of opinion leaders. We take opinion leaders into account, improve the HK model and use social network analysis method to identify the opinion leaders based on scale-free network structure. To verify the simulation results we select the reversal case on sina twitter. The results show that opinion leaders play a key role in the evolution of opinion, which can guide the public opinion to reverse. The results also indicate that the improved model can simulate the evolution process of network opinion reversion.
Reference | Related Articles | Metrics
Research Progress of Opinion Polarization in Social Collective Behavior: Centered on Biased Assimilation and the Hostile Media Effects
XIAO Renbin, ZHANG Xuanyu
Complex Systems and Complexity Science    2023, 20 (4): 1-9.   DOI: 10.13306/j.1672-3813.2023.04.001
Abstract   PDF (1116KB)  
As a type of collective behavior in social systems, opinion polarization may greatly influence social stability. Thus, this paper systematically sorts out and summarizes the research status of opinion polarization. Based on reviews of the concept and modeling of opinion polarization in social and political fields, the two interaction mechanisms of opinions that lead to opinion polarization are extracted. From the perspective of individuals, the paper focuses on discussion two kinds of social psychological effects that may lead to opinion polarization, viz., biased assimilation and hostile media effect. The key to integration of polarization research in different fields lies in the internal change mechanism of individual opinion. One of the emphasis in future research should focus on the mutual corroboration of models and real data.
Reference | Related Articles | Metrics
Review on Strategies Enhancing the Robustness of Complex Network
WANG Zhe, LI Jianhua, KANG Dong, RAN Haodan
Complex Systems and Complexity Science    2020, 17 (3): 1-26.   DOI: 10.13306/j.1672-3813.2020.03.001
Abstract   PDF (3779KB)  
The enhancement of the robustness of complex networks has been a hotspot in the field of network science in recent years. It is both of great scientific significance and theoretical value to explore the strategy of enhancing the robustness for network structure design and function improvement. On the basis of extensive collation and systematic analysis of domestic and foreign literature, this paper summarizes comprehensively the key point and main ideasof the current research on the enhancement strategies of complex networks robustness from three aspects: pre-defense, in-process recovery and post-optimization. The advantages, disadvantages and applicability of different strategies are compared and analyzed. Then we look forward to future research direction in this field.
Reference | Related Articles | Metrics
Data Mining of Live Streaming Platforms: Statistical Characteristics and Temporal Pattern
GUO Shuhui, LÜ Xin
Complex Systems and Complexity Science    2023, 20 (2): 1-9.   DOI: 10.13306/j.1672-3813.2023.02.001
Abstract   PDF (3503KB)  
To explore the behavioral characteristics of massive crowds under the active interaction of millions of streamers and viewers in the field of live streaming, this paper summarized the temporal patterns of live streaming workload and user behavior characteristics of the live streaming platform, taking Douyu and Huya live streaming platforms as examples, a statistical analysis of 123 consecutive days, involving more than 2.4 million anchors, and more than 726 million live streaming data. The live streaming workload has obvious intra-day and intra-week effect. Different live streaming modes have significant differences in live streaming characteristics such as the average number of viewers and followers. The lifetime of streamers and the number of viewers conform to a power law distribution. With the development of the platform, there is a strong linear correlation between the number of streamers and viewers, but its volatility is gradually increasing, reflecting the increasingly strong heterogeneity and non-uniformity of the system. It is of great significance for understanding user behavior patterns in complex systems of live streaming, mining user distribution laws and changing trends, and designing business models such as personalized recommendations.
Reference | Related Articles | Metrics
Status and Prospects on Disintegration of Complex Networks
WU Jun, DENG Ye, WANG Zhigang, TAN Suoyi, LI Yapeng
Complex Systems and Complexity Science    2022, 19 (3): 1-13.   DOI: 10.13306/j.1672-3813.2022.03.001
Abstract   PDF (1087KB)  
In the majority of cases, networks are beneficial. However, many times it may also be harmful, such as terrorist networks and disease spreading networks. It has become an urgent challenging problem to disintegrate these harmful networks by various methods such as immunization, block, isolation, disturbance, and attack. The core task of network disintegration is to identify the “critical nodes (edges)”. This survey firstly gives the mathematical description of network disintegration. On this basis, this survey then reviews the status of network disintegration study in the fields of operations research, network science, and computer science based on mathematical programming, the centrality metrics, the heuristic algorithms, evolutionary computation, and machine learning, respectively. Lastly, this survey presents the prospects of network disintegration study from the aspects of the target network, disintegration model, and algorithm.
Reference | Related Articles | Metrics
A Hybrid Ant Colony Optimization for Bi-Objective VRP with Time Windows
DENG Lijuan, ZHANG Jihui
Complex Systems and Complexity Science    2020, 17 (4): 73-84.   DOI: 10.13306/j.1672-3813.2020.04.009
Abstract   PDF (1753KB)  
With requirements of continuous improvements to customers’ service, Vehicle Routing Problems with Time Windows (VRPTW) attracted more and more attention. Aiming to minimize the total cost and to maximize customers’ satisfaction, a bi-objective integer programming model is established. A Hybrid Ant Colony Optimization (HACO) is designed to solve it. An elitist-ant strategy is set up to explore the bi-objective functions respectively and to get better non-dominant solutions. The evaporation factors are redefined to balance local and global search capabilities of the algorithm and to avoid premature convergence. NSGA-Ⅱ is used to guide the bi-objective optimizing process, a variable neighborhood search algorithm is used to expand the search space, in order to obtain the better Pareto solution set. The optimal parameter combination was determined by an orthogonal experiment, and the Solomon standard instances are used to test the performance of the algorithm. The simulation results show that the HACO can effectively solve the vehicle routing problem with time windows, and the performance of HACO has a significant improvement.
Reference | Related Articles | Metrics
Standardizing Document Generation Based on Large Language Models
LIU Zheze, ZHANG Ning, ZHENG Nan
Complex Systems and Complexity Science    2025, 22 (2): 45-54.   DOI: 10.13306/j.1672-3813.2025.02.006
Abstract   PDF (1810KB)  
In order to promote the standardized development of various industries, corresponding standardizing documents need to be formulated in various fields, such as national standard and industry standard. These standardizing documents not only provide a unified operating standard for the industry, but also provide a clear guidance basis for relevant parties. The Central Committee of the CPC and the State Council clearly pointed out in the "the Outlines for the Development of National Standardization" that promoting the digitalization process of standard is an important measure to realize the modernization of the industry. Therefore, it is particularly important to carry out research on the automatic generation of standardizing documents. With the rapid development of artificial intelligence technology, especially the outstanding performance of large language models in text generation tasks, it is possible to use these advanced technologies to realize the automatic generation of standardizing documents. Based on this background, this paper proposes a two-stage scheme for generating standardizing documents. The scheme first generates the outline of the standardizing document through the large model, and then expands to generate the complete document content on this basis. By combining in-context learning and retrieval augmented generation techniques, this method can not only generate high-quality text, but also significantly improve the accuracy and professionalism of the generated content. In order to verify the feasibility of the scheme, we conducted a series of experiments on our self-built dataset, and the results show that the method can effectively generate documents that meet industry standards, and has good practicability and promotion potential.
Reference | Related Articles | Metrics
Resilience Analysis of Public Interdependent Transport System Based on Complex Network
WANG Shuliang, CHEN Chen, ZHANG Jianhua, LUAN Shengyang
Complex Systems and Complexity Science    2022, 19 (4): 47-54.   DOI: 10.13306/j.1672-3813.2022.04.007
Abstract   PDF (2435KB)  
The topological characteristics and resilience analysis of public transportation systems are of great significance in urban management to ensure its safe and sustainable operation. This paper constructs a bus-metro interdependent network model based on the passenger transfer relationship and uses deep learning to identify their network topology attributes. A comprehensive importance indicator of the nodes is established by entropy weight-technique for order preference by similarity to ideal solution (EWM-TOPSIS), and the resilience of the network under different recovery strategies are analyzed. In order to verify the applicability and accuracy of the method, this study takes Wuhan's public transportation network as an example, which has practical guiding significance for the post-disaster recovery and operation management of the urban public transportation system.
Reference | Related Articles | Metrics
On the Measurement of Industrial Chain Resilience in China Based on the Perspective of Production Network
HE Yu, TIAN Jiexin, QIN Zhaohui, CHEN Zhenzhen
Complex Systems and Complexity Science    2024, 21 (4): 21-27.   DOI: 10.13306/j.1672-3813.2024.04.004
Abstract   PDF (3949KB)  
To scientifically evaluate the resilience of China′s industrial chain and promote high-quality economic development, this paper employs complex network theory and utilizes data from China′s multi-regional input-output table to construct a simulated attack model of the industrial chain network, thereby measuring the resilience of the industrial chain. The results show that the industrial chain layout of 31 provinces in China exhibits obvious local correlation attributes, and presents a collaborative development characteristic led by key regions and industries; The overall resilience of China′s industrial chain is strong, and during the inspection period, the overall resilience index of China′s industrial chain shows an upward trend; There is a significant gap in the resilience of the industrial chain between regions and industries in China.
Reference | Related Articles | Metrics