- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Evolutionary Game Theory and Cooperation
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Misinformation and Its Impacts
- Social Media and Politics
- Experimental Behavioral Economics Studies
- Evolution and Genetic Dynamics
- Complex Systems and Time Series Analysis
- Game Theory and Applications
- Opportunistic and Delay-Tolerant Networks
- EEG and Brain-Computer Interfaces
- Cellular Automata and Applications
- Nonlinear Dynamics and Pattern Formation
- stochastic dynamics and bifurcation
- Advanced MRI Techniques and Applications
- Advanced Clustering Algorithms Research
- Gene Regulatory Network Analysis
- Neural Networks and Reservoir Computing
- Theoretical and Computational Physics
- Data Visualization and Analytics
- Advanced Memory and Neural Computing
Beihang University
2016-2025
Binzhou University
2022-2025
Binzhou Medical University
2022-2025
Ji Hua Laboratory
2023-2025
Zhejiang International Studies University
2025
Peng Cheng Laboratory
2019-2024
Dalian University of Technology
2022-2024
State Key Laboratory of Software Development Environment
2010-2024
Institute of Art
2022
Ministry of Education of the People's Republic of China
2010-2015
In recent years, social media has become an important platform for political discourse, being a site of both conversations between voters and advertisements from campaigns. While their individual influences on public discourse are well documented, the interplay individual-level cognitive biases, influence processes, dueling campaign efforts, platforms remains unexamined. We introduce agent-based model that integrates these dynamics illustrates how combination can lead to formation echo...
Information spreading in online social communities has attracted tremendous attention due to its utmost practical values applications. Despite that several individual-level diffusion data have been investigated, we still lack the detailed understanding of pattern information. Here, by comparing information flows and links a blog community, find processes are induced three different mechanisms: spreading, self-promotion broadcast. Although numerous previous studies employed epidemic models...
While the link between brain structure and function remains an ongoing challenge, prevailing hypothesis is that structure-function relationship may itself be gradually decoupling from unimodal to transmodal cortex. However, this constrained by underlying models which neglect requisite information. Here we relate structural functional connectivity derived diffusion MRI through orthogonal eigenmodes governing frequency-specific patterns. We find low-frequency contribute little interactions in...
Environmental changes play a critical role in determining the evolution of social dilemmas many natural or systems. Generally, environmental include two prominent aspects: global time-dependent fluctuations and local strategy-dependent feedbacks. However, impacts these types have only been studied separately, complete picture effects exerted by combination aspects remains unclear. Here we develop theoretical framework that integrates group strategic behaviors with their general dynamic...
The information diffusion process in single complex networks has been extensively studied, especially for modeling the spreading activities online social networks. However, individuals usually use multiple at same time, and can share they have learned from one network to another. This phenomenon gives rise a new on multiplex with more than layer. In this paper we account by proposing model of two-layer We develop theoretical framework using bond percolation cascading failure describe...
We investigate the collective dynamics of excitatory-inhibitory excitable networks in response to external stimuli. How enhance dynamic range, which represents ability encode stimuli, is crucial many applications. regard system as a two-layer network (E layer and I layer) explore criticality range on diverse networks. Interestingly, we find that phase transition occurs when dominant eigenvalue E layer's weighted adjacency matrix exactly 1, only determined by topology layer. Meanwhile, it...
Abstract A good group reputation often facilitates more efficient synergistic teamwork in production activities. Here we translate this simple motivation into a reputation-based synergy and discounting mechanism the public goods game. Specifically, type of group, either or bad determined by threshold, modifies nonlinear payoff structure described unified impact factor. Results show that incentive could effectively promote cooperation compared with linear payoffs, despite coexistence effects....
Introduction: Numerous studies have emphasized the time-varying modular architecture of functional brain networks and its relevance to cognitive functions in healthy participants. However, how dynamics change schizophrenia these alterations relate neurotransmitter transcriptomic signatures not been well elucidated. Methods: We harmonized resting-state fMRI data from a multi-site sample including 223 patients 279 controls applied multilayer network method estimate regional module switching...
To date, most studies on autism spectrum disorder (ASD) have focused specific age ranges, while the mechanisms underlying entire developmental process of patients remain unclear. The aim this study was to investigate alterations in brain function autistic individuals at different stages by resting-state functional MRI (rs-fMRI). We obtained rs-fMRI data from 173 ASD and 178 typical development (TD) Autism Brain Imaging Data Exchange, spanning child, adolescent, adult groups. characterized...
Age-related hearing loss (ARHL) is a common sensory disability among older adults and considered risk factor for the development of dementia. Previous work has shown altered brain connectome topology in ARHL, including abnormal nodal strength clustering coefficient. However, whether ARHL affects hierarchical organization structural how these alterations relate to transcriptomic signatures remain unknown. Here, we apply gradient mapping framework derived from diffusion magnetic resonance...
Indirect reciprocity unveils how social cooperation is founded upon moral systems. Within the frame of dyadic games based on individual reputations, ‘leading-eight’ strategies distinguish themselves in promoting and sustaining cooperation. However, real-world societies, there are widespread interactions at group level, where individuals need to make a singular action choice when facing multiple with different reputations. Here, through introducing assessment collective we develop framework...
Cocaine use disorder (CUD) is a chronic brain condition that severely impairs cognitive function and behavioral control. The neural mechanisms underlying CUD, particularly its impact on integration-segregation dynamics, remain unclear. In this study, we integrate dynamic functional connectivity graph theory to compare the state properties of healthy controls CUD patients. We find influences both integrated segregated states, leading distinct alterations in patterns network properties....
Immunization plays an important role in the field of epidemic spreading complex networks. In previous studies, targeted immunization has been proved to be effective strategy. However, when extended networks with community structure, it is unknown whether superior strategy vaccinate nodes who have most connections entire network (global strategy), or those original where starts spread (local strategy). this work, by using both analytic approaches and simulations, we observe that answer...
Abstract Competitive information diffusion on large-scale social networks reveals fundamental characteristics of rumor contagions and has profound influence public opinion formation. There been growing interest in exploring dynamical mechanisms the competing evolutions recently. Nevertheless, impacts homogeneity trend, which determines powerful collective human behaviors, remains unclear. In this paper, we incorporate trend into a modified competitive ignorant-spreader-ignorant model with...
Introduction Major depressive disorder (MDD) is a debilitating disease involving sensory and higher-order cognitive dysfunction. Previous work has shown altered asymmetry in MDD, including abnormal lateralized activation disrupted hemispheric connectivity. However, it remains unclear whether how MDD affects functional asymmetries the context of intrinsic hierarchical organization. Methods Here, we evaluate intra- inter-hemispheric first three gradients, characterizing unimodal-transmodal,...
Background/Objectives: Cocaine use disorder (CUD) poses a worldwide health challenge, with severe consequences for brain function. However, the phase dynamics underlying CUD and transitions between remain poorly understood. Methods: Here, we used resting-state functional magnetic resonance imaging (fMRI) data from 43 patients 45 healthy controls (HCT). We performed empirical analysis to identify phase-coherence states compared their probabilities of occurrence conditions. To further explore...
Background/Objectives: Schizophrenia is a severe psychiatric disorder characterized by deficits in perception and advanced cognitive functions. Prior studies have reported abnormal lateralization cortical morphology functional connectivity schizophrenia. However, it remains unclear whether schizophrenia affects hemispheric asymmetry the hierarchical organization of connectome. Methods: Here, we apply gradient mapping framework to connectome estimate first three gradients, which characterize...
Confirmation bias and peer pressure are regarded as the main psychology origins of personal opinion adjustment. Each show substantial impacts on formation collective decisions. Nevertheless, few attempts have been made to study how interplay between these two mechanisms affects public evolution large-scale social networks. In this paper, we propose an agent-based model dynamics which incorporates conjugate effect confirmation (characterized by population identity scope initiative adaptation...
The topic of finding effective strategy to halt virus in complex network is current interest. We propose an immunization for seasonal epidemics that occur periodically. Based on the local information infection status from previous epidemic season, selection vaccinated nodes optimized gradually. evolution during iterations demonstrates tends locate both global hubs and hubs. analyze prevalence by a heterogeneous mean-field method present numerical simulations our model. This performs...
For information diffusion in multiplex networks, the effect of interlayer contagion on spreading dynamics has been explored different settings. Nevertheless, impact recovery processes, i.e., transition nodes to stiflers all layers after they become any layer, still remains unclear. In this paper, we propose a modified ignorant-spreader-stifler model rumor equipped with an mechanism. We find that can be effectively promoted for range rates. By combining mean-field approximation and Markov...