Complexity最新文献_第8页

A Fractional-Order Complexity Framework for Misinformation Propagation With Fact-Checking Saturation and Social Vulnerability Dynamics 具有事实核查饱和和社会脆弱性动态的错误信息传播分数阶复杂性框架

IF 1.7 4区工程技术

Complexity Pub Date : 2026-05-07 DOI: 10.1155/cplx/8861194

Shewafera Wondimagegnhu Teklu, M. A. Abdelkawy, Waleed Adel

{"title":"A Fractional-Order Complexity Framework for Misinformation Propagation With Fact-Checking Saturation and Social Vulnerability Dynamics","authors":"Shewafera Wondimagegnhu Teklu, M. A. Abdelkawy, Waleed Adel","doi":"10.1155/cplx/8861194","DOIUrl":"https://doi.org/10.1155/cplx/8861194","url":null,"abstract":"Misinformation spreads through communities in ways that resemble infectious diseases, but existing mathematical models often miss three real-world complexities: People remember past information (memory effects), some folks are more easily fooled than others (vulnerability), and fact-checkers can get overwhelmed during big outbreaks (saturation). This study builds a fresh mathematical framework that puts all these pieces together using fractional calculus, a tool that naturally captures how past exposures shape current beliefs. The model divides people into six groups: susceptible folks, vulnerable individuals (who spread falsehoods faster), active carriers of misinformation, corrected people who accepted fact-checks, resistant individuals with immunity, and a variable tracking fact-checking intensity. We analyzed this system thoroughly, proving that solutions stay positive and bounded, and we calculated the critical “virality threshold” <math></math> that determines whether misinformation dies out or becomes endemic. Our sensitivity analysis pinpointed the transmission rate to vulnerable folks and fact-checking effectiveness as the most powerful levers for control. Using optimal control theory, we designed three intervention strategies—preventative education, active fact-checking, and targeted support for vulnerable populations and simulated them. The key finding is clear: no single approach works best alone; the real magic happens when we combine all three simultaneously, which nearly eliminates misinformation entirely. This work provides researchers and policymakers with a rigorous tool to understand, predict, and combat the spread of false narratives in our increasingly complex information environment.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/8861194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148067949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation and Ranking of Iran’s Provinces in Terms of Mining Development Using Multicriteria Decision-Making (MCDM) Techniques 利用多标准决策（MCDM）技术对伊朗各省矿业发展进行评价和排名

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-27 DOI: 10.1155/cplx/4594108

Hossein Komasi, Amir Karbassi Yazdi, Gizem Ozaydin, Gonzalo Valdés González, Davood Jamini

{"title":"Evaluation and Ranking of Iran’s Provinces in Terms of Mining Development Using Multicriteria Decision-Making (MCDM) Techniques","authors":"Hossein Komasi, Amir Karbassi Yazdi, Gizem Ozaydin, Gonzalo Valdés González, Davood Jamini","doi":"10.1155/cplx/4594108","DOIUrl":"https://doi.org/10.1155/cplx/4594108","url":null,"abstract":"Mining development is of prime importance for economic growth, industrialization, and resilience, particularly for countries rich in minerals, such as Iran. Using an excellent multicriteria decision-making (MCDM) method, this study attempted to determine provinces with respect to mining development by assessing other regions or provinces by placing them according to each other and similar indicators of development for each region of Iran through ranking them. The national statistical data identified 15 quantitative indicators with regard to employment, mineral production, infrastructure, and environmental safety. The CRITIC method was used to ensure that the criterion weights were objectively established, and the ranking effect of two leading MCDM techniques, TOPSIS and WASPAS, was computed. Sensitivity tests were used to investigate stability of findings under different weighting and model conditions. These regional discrepancies also showed statistically significant differences with provinces (i.e., Kerman, Yazd, and Razavi Khorasan) having the greatest level of correlation with the combined mineral resources, infrastructure, and institutional support. Provinces such as Ilam, Gilan, and Ardabil were losing ground due to inadequate investment, infrastructure, and skilled manpower. In addition, the consistency in rankings using different approaches contributes to the confidence in the proposed model. Moreover, this research facilitates a better perspective and a more comprehensive representation to reach the development of the mining sector in Iran as well as a more evidence-based overall framework for regional development planning (or sustainable management) and future production management.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/4594108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148094597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing Diabetic Retinopathy Screening With DR-NetFusion: A Hybrid Deep Learning Model for Enhanced Detection and Interpretability 使用DR-NetFusion推进糖尿病视网膜病变筛查：一种增强检测和可解释性的混合深度学习模型

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-23 DOI: 10.1155/cplx/8723813

Sunder R., V. Saravana Kumar, Kavitha M., S. Athinarayanan, Umesh Kumar Lilhore, Sarita Simaiya, Lidia Gosy Tekeste, Shimaa A. Hussien, Ehab Seif Ghith

{"title":"Advancing Diabetic Retinopathy Screening With DR-NetFusion: A Hybrid Deep Learning Model for Enhanced Detection and Interpretability","authors":"Sunder R., V. Saravana Kumar, Kavitha M., S. Athinarayanan, Umesh Kumar Lilhore, Sarita Simaiya, Lidia Gosy Tekeste, Shimaa A. Hussien, Ehab Seif Ghith","doi":"10.1155/cplx/8723813","DOIUrl":"https://doi.org/10.1155/cplx/8723813","url":null,"abstract":"Diabetic retinopathy (DR) is one of the leading causes of preventable blindness worldwide, making timely and accurate detection crucial for effective management. This study introduces DR-NetFusion, a novel hybrid deep learning framework designed to automate DR detection and classification. The proposed model synergistically combines convolutional neural networks (CNNs) and transformer architectures, leveraging the strengths of both in capturing local features and global context from retinal images. DR-NetFusion performs multiscale feature extraction, integrates a dual-attention mechanism, and incorporates ensemble learning to improve robustness and model performance. Additionally, the framework utilizes generative adversarial networks (GANs) for synthetic data augmentation to address data scarcity challenges and applies pretrained transfer learning to enhance efficiency. For interpretability, we incorporate Grad-CAM and SHAP techniques, providing visualizations that improve clinical trust. Extensive evaluations on large-scale datasets, including Kaggle EyePACS, Messidor, and IDRiD, demonstrate that DR-NetFusion achieves state-of-the-art results with sensitivities of 97.8%, specificities of 96.7%, and a weighted F1-score of 0.93 for DR grading. This research presents a comprehensive and highly accurate solution for DR screening, offering significant potential for early diagnosis and improved treatment strategies in ophthalmology.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/8723813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148086948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Trade-Off Between Renewable and Thermal Power in Carbon Trading and Green Certificate–Based Sustainable Electricity Markets 碳交易和基于绿色证书的可持续电力市场中可再生能源和火电之间的权衡

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-21 DOI: 10.1155/cplx/6608447

Haiyan Lan, Guoshuai Sun, Jiao Feng, Chengzheng Huang

{"title":"The Trade-Off Between Renewable and Thermal Power in Carbon Trading and Green Certificate–Based Sustainable Electricity Markets","authors":"Haiyan Lan, Guoshuai Sun, Jiao Feng, Chengzheng Huang","doi":"10.1155/cplx/6608447","DOIUrl":"https://doi.org/10.1155/cplx/6608447","url":null,"abstract":"Achieving the dual-carbon goals is a central challenge for global sustainability, requiring electricity systems to expand renewable generation while maintaining market stability. Sustainable electricity markets must integrate low-carbon policies with competitive dynamics, yet the impacts of carbon trading and green certificate (GC) schemes under bounded rationality remain insufficiently explored. This study develops a dynamic duopoly game model of renewable and thermal producers under carbon trading and GC regimes. Firms adjust generation and emission reduction efforts adaptively, and nonlinear dynamic methods—including bifurcation diagrams, Lyapunov exponents, and basins of attraction—are employed to analyze system evolution. The results yield three key findings: (1) cost parameters have counterintuitive effects since very low renewable costs, while increasing market share, destabilize the system by inducing bifurcations and chaos, whereas higher thermal costs encourage emission reduction but can also push renewables into chaotic fluctuations; (2) GC quotas exhibit a dual role, where moderate increases promote renewable penetration and emission reduction, but excessively high quotas accelerate chaotic dynamics and undermine long-term stability; and (3) initial values exert a decisive influence on system evolution, as different starting levels of generation and emission reduction under the same policy parameters may lead the market to converge toward a stable equilibrium or drift into chaotic regimes, indicating pronounced path dependence. Overall, this study uncovers the nonlinear interactions among costs, policy instruments, and initial states in electricity markets, providing theoretical insights for designing coordinated carbon trading and certificate schemes that foster sustainability by balancing renewable transition with system stability.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/6608447","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148086316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of the Important Control Nodes in Network Controllability Processes on Temporal Networks Using Temporal Graph Transformer Neural Networks 用时间图变换神经网络检测网络可控性过程中的重要控制节点

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-21 DOI: 10.1155/cplx/8861757

Zewen Qiu, Yunxiang Xiao, Peyman Arebi

{"title":"Detection of the Important Control Nodes in Network Controllability Processes on Temporal Networks Using Temporal Graph Transformer Neural Networks","authors":"Zewen Qiu, Yunxiang Xiao, Peyman Arebi","doi":"10.1155/cplx/8861757","DOIUrl":"https://doi.org/10.1155/cplx/8861757","url":null,"abstract":"Controllability in temporal networks refers to the ability to steer the state of a time-evolving system toward any desired configuration through external inputs while explicitly respecting the temporal ordering and availability of interactions. Identifying control-important nodes is a fundamental challenge in temporal network controllability, as effective control depends not only on network topology but also on the timing and sequence of connections, making the detection of critical control nodes essential for reducing control cost and improving robustness. In this paper, we propose a novel learning-based framework that formulates the identification of control-important nodes as a node classification problem on temporal networks and addresses it using a temporal graph transformer neural network. The proposed method integrates spatial attention to capture structural dependencies within each temporal snapshot and temporal attention to model the evolution of node influence across time, followed by a spatiotemporal feature fusion mechanism that generates expressive node representations. Based on these representations, nodes are classified into critical, ordinary, and redundant categories without explicitly enumerating all possible minimum driver node sets or temporal matchings. Experimental evaluations on both synthetic and real-world temporal networks demonstrate that the proposed approach achieves high accuracy, robustness, and scalability compared with existing graph-based and temporal learning methods. The results confirm that the model effectively captures time-respecting control patterns and provides an efficient and interpretable solution for identifying control-important nodes, thereby bridging temporal network controllability theory with modern transformer-based graph learning techniques.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/8861757","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148086322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting China’s Carbon Dioxide Emissions Using a Novel Structure-Adaptive Conformable Fractional Gray Bernoulli Model 基于结构自适应的分数阶灰色伯努利模型预测中国二氧化碳排放

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-21 DOI: 10.1155/cplx/7925189

Zesheng Li, Jiayang Kong, Ye Yang, Kuangxi Su

{"title":"Forecasting China’s Carbon Dioxide Emissions Using a Novel Structure-Adaptive Conformable Fractional Gray Bernoulli Model","authors":"Zesheng Li, Jiayang Kong, Ye Yang, Kuangxi Su","doi":"10.1155/cplx/7925189","DOIUrl":"https://doi.org/10.1155/cplx/7925189","url":null,"abstract":"Accurate forecasting of CO2 emissions can provide theoretical support for the Chinese government in formulating carbon reduction policies. However, China’s CO2 emission sequences are constrained by limited available samples and complex characteristics. To address these issues, this study develops a novel structure-adaptive conformable fractional gray Bernoulli model (SAFGBM (1, 1)). Specifically, the newly designed model incorporates a new fractional-order accumulation operator to extract the sequence features and further uses the Simpson formula to optimize the background value. Subsequently, the particle swarm optimization (PSO) algorithm is employed to solve the nonlinear parameters in the model. Comparative verification with various competing models demonstrates that the proposed model exhibits significant accuracy advantages in forecasting China’s carbon emission sequences. Finally, this model is applied to predict China’s CO2 emissions from 2025 to 2030. The results indicate that although the growth rate of China’s CO2 emissions has slowed down, the dual carbon goals still face substantial challenges; the government needs to accelerate the implementation of relevant policies to advance the realization of the carbon peaking target and high-quality green economic development.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/7925189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148088042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Active and Passive Control of Nanofluid Heat Transfer via Fractional Operators and Neural Networks 基于分数算子和神经网络的纳米流体传热主动和被动控制

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-20 DOI: 10.1155/cplx/7826939

Muhammad Ramzan, Ioan-Lucian Popa, Mohammed Kbiri Alaoui, Shajar Abbas

{"title":"Active and Passive Control of Nanofluid Heat Transfer via Fractional Operators and Neural Networks","authors":"Muhammad Ramzan, Ioan-Lucian Popa, Mohammed Kbiri Alaoui, Shajar Abbas","doi":"10.1155/cplx/7826939","DOIUrl":"https://doi.org/10.1155/cplx/7826939","url":null,"abstract":"The free convective flow of heat transport with nanofluids over a plate must be studied in order to enhance thermal technologies and increase the efficiency of heat transfer in engineering system. The present article introduces the study of Tio2 and Co3O4 nanoparticles with the base fluid of C3H8O2. Heat transfer on Casson with the multiple effects is taken into account. This new research presents an innovative approach to studying how mass transport and heat transfer interact over a plate. The core of the problem involves complex mathematical equations called fractional partial differential equations, which are difficult to solve using traditional methods. Instead of using the standard mathematical techniques, the researchers took an artificial neural network (ANN), a type of Artificial Intelligence, and used it to solve these equations. The ANN was trained by the Levenberg–Marquadrt backpropagation algorithm, which is a sophisticated optimization algorithm. The required training data were created analytically (which means precisely calculated) using the Laplace transform method. The data were divided up with 70% for the training of the primary and 15% for checking the generalization capacity of the model and the other 15% for validation. The most significant achievement of this work is the successful combining of the power of fractional calculus (for the modeling of the transport processes in detail, strictly nonjust behaving) with AIAN (neural network)-based optimization (for efficient and accurate solution). This provides a credible and efficient means of modeling and ultimately optimizing heat transfer in state-of-the-art nanofluid based engineering systems.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/7826939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148086487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability and Stochastic Dynamics of an Extended SUC Epidemic Model With Delays via NSFD Scheme: Implications for Public Health Planning NSFD方案下具有延迟的扩展SUC流行病模型的稳定性和随机动力学：对公共卫生规划的启示

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-20 DOI: 10.1155/cplx/6509752

Wafa F. Alfwzan, Sana Iqbal, Naveed Shahid, Nauman Ahmed, Ali Raza, Emad Fadhal

{"title":"Stability and Stochastic Dynamics of an Extended SUC Epidemic Model With Delays via NSFD Scheme: Implications for Public Health Planning","authors":"Wafa F. Alfwzan, Sana Iqbal, Naveed Shahid, Nauman Ahmed, Ali Raza, Emad Fadhal","doi":"10.1155/cplx/6509752","DOIUrl":"https://doi.org/10.1155/cplx/6509752","url":null,"abstract":"As of April 11, 2025, the World Health Organization (WHO) reports that Pakistan has recorded 1,581,936 confirmed COVID-19 cases, with 30,664 deaths and 1,538,689 recoveries. Motivated by this context, we develop an extended Susceptible–Uninfected–Carrier (SUC) epidemic model incorporating both time delays and stochastic effects to capture more realistic disease dynamics. We perform a Lyapunov-based energy functional analysis to investigate the model’s stability and long-run dynamical behavior. The sensitivity analysis identifies the most influential parameters for transmission dynamics and threshold conditions for disease spread. To further consider randomness inherent in epidemic processes, we incorporate stochastic perturbations into the model framework. A new NSFD numerical scheme is proposed, which maintains the essential qualitative features of the model and is thus appropriate for reliable simulations of complex epidemiological dynamics. Extensive numerical experiments are carried out which demonstrate the model’s behavior under different parameter regimes and give insight into how delays and randomness can affect the development of a disease. It is expected that these findings can be used in advancing epidemiological modeling and supporting public health decision-making.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/6509752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148085469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vehicular Traffic Networks Simulation: Towards the Implementation of a High-Performance Computing Simulator 车辆交通网络仿真：迈向高性能计算模拟器的实现

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-19 DOI: 10.1155/cplx/2065858

Felipe Morales-Torres, Eduardo G. Hernandez-Martinez, Jose E. Quiroz-Ibarra, Mauricio Flores-Geronimo, Guillermo Fernandez-Anaya, Enrique D. Ferreira-Vazquez, Jose-Job Flores-Godoy

{"title":"Vehicular Traffic Networks Simulation: Towards the Implementation of a High-Performance Computing Simulator","authors":"Felipe Morales-Torres, Eduardo G. Hernandez-Martinez, Jose E. Quiroz-Ibarra, Mauricio Flores-Geronimo, Guillermo Fernandez-Anaya, Enrique D. Ferreira-Vazquez, Jose-Job Flores-Godoy","doi":"10.1155/cplx/2065858","DOIUrl":"https://doi.org/10.1155/cplx/2065858","url":null,"abstract":"This work presents a comparison of different software and hardware implementations of a traffic simulator using a fluid-based mesoscopic model. The model represents Vehicular Traffic Networks (VTNs) based on the flow resulting by the interconnection of dynamical agents associated to street segments and intersections. Starting from a single cross-intersection example, a traditional numerical simulation was developed in MATLAB as a first step. Afterwards looking for a leverage of the current computer capabilities, new approaches in software and hardware were explored. Using the Python language and Django as a development framework, the next version of the simulator was built to exploit the high-performance computing capabilities for research with a web interface. Next, using a modular paradigm, a second version of a simulator was made based on object-oriented programming (OOP) having “high-cohesion”, “low-coupling”, and extensibility features. A third numerical version with some libraries like NumPy was created and tested, looking for better performance. All these versions served as a point of departure to explore the basis of a fourth and fifth version: a high-performance simulator with a parallel mindset, using Graphic Processing Units (GPUs). A comparison is presented with the same single cross example testing the time to generate data in each version.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/2065858","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sustainable Dissemination of Digital Music Artworks on TikTok: A Social Media Analysis TikTok上数字音乐作品的可持续传播：一项社交媒体分析

IF 1.7 4区工程技术

Complexity Pub Date : 2026-04-16 DOI: 10.1155/cplx/1791214

Wan na, Zhan li, Na Fang, Wei Qi

{"title":"Sustainable Dissemination of Digital Music Artworks on TikTok: A Social Media Analysis","authors":"Wan na, Zhan li, Na Fang, Wei Qi","doi":"10.1155/cplx/1791214","DOIUrl":"https://doi.org/10.1155/cplx/1791214","url":null,"abstract":"This study examines sustainable dissemination of digital music on TikTok by linking musical-aspect discourse and network positioning to engagement and recommendation performance, using 1200 TikTok songs/videos, each represented by 52 platform and interaction features. Using a hybrid CF + NCF recommender with time-series forecasting, the predictive pipeline achieved F1 = 0.7879, AUC = 0.8373, and root mean squared error (RMSE) = 0.2143, while the ensemble forecaster yielded the lowest MAE = 0.2338 and RMSE = 0.3287 relative to ARIMA and Prophet. Content-side evidence showed that lyric-related sentiment was most prominent (84.91% positive mentions), exceeding production (52.78%) and melody, and matching results similarly prioritized lyrics over other musical aspects (exact: 30 vs. 19 vs. 17 and fuzzy: 53 vs. 39 vs. 29). Network analysis identified 1177 users and 164,499 ties partitioned into four communities, with the most bridging actor in Community 0 reaching betweenness centrality of 0.021, indicating concentrated brokerage in dissemination pathways. Together, these results suggest that lyric-centered engagement and community brokerage co-occur with stronger predictive and recommendation performance, providing an empirical basis for designing more durable TikTok dissemination strategies for digital music.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/1791214","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148079871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0