Social Sciences
Two Approaches to Constructing Certified Dominating Sets in Social Networks: R Script Description
This script implements and analyzes various algorithms for graph processing, focusing on domination problems, including double domination and certified dominating sets.
Script Overview
The script generates tree graphs, calculates certified dominating sets using ApproxCert and other algorithms, and evaluates their performance in terms of execution time and results. Results are saved in a CSV file for further analysis.
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In the digital age, knowledge sharing is gaining increasing significance, but its contribution in promoting the protection and transmission of rural intangible cultural heritage is still not fully appreciated. Based on SOR theory and SET theory, this study takes agricultural digital intangible heritage as the research object to develop a theoretical model on the knowledge sharing intention of agricultural digital intangible heritage.
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The dataset is a multiplex social network dataset collected from the Department of Computer Science at Aarhus University, Denmark. The total number of nodes in this multilayer network is 61, and the total number of edges in each layer of the network is 620, which is an unweighted and undirected multiplex social network. It captures their relationships across five different types of interactions: Facebook connections, leisure activities, work collaborations, co-authorships, and lunch meetings. Each layer in the network corresponds to a specific type of relationship.
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To provide machine learning and data science experts with a more robust dataset for model training, the well-known Palmer Penguins dataset has been expanded from its original 344 rows to 100,000 rows. This substantial increase was achieved using an adversarial random forest technique, effectively generating additional synthetic data while maintaining key patterns and features. The method achieved an impressive accuracy of 88%, ensuring the expanded dataset remains realistic and suitable for classification tasks.
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The Deenz Psychopathy Spectrum Scale (DPSS-24) is a newly developed psychometric instrument aimed at assessing psychopathy traits across diverse adult populations. This study presents preliminary data collected from two distinct samples—a group of 21 participants from an initial testing phase and a German sample of 31 participants. Each participant completed the DPSS-24, a 24-item scale designed to measure various psychopathy-related behaviors, including impulsivity, emotional detachment, and interpersonal difficulties, using a Likert scale ranging from 1 to 5.
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The equity structure forms the foundation of the governance framework, while the incentive and constraint mechanisms are at its core. Together, they establish a complete corporate governance system. This study takes listed companies in the textile industry on the Shanghai and Shenzhen A-share markets in China as the sample.
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Digital transformation provides new opportunities for corporate innovation and becomes a new engine for high-quality and sustainable economic development. The dataset can be used with Excel software to filter the data and Stata software to process the data. Manufacturing is the main track of digital transformation in China. THE Dataset include all A-share listed manufacturing corporates in China from 2011-2022. Since the earliest digital transformation data of Chinese manufacturing corporates were generated in 2011, the data start date is set at 2011.
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This dataset contains results from a comparative simulation of blockchain-enabled trade systems and traditional trade mechanisms across five global trade hubs: the USA, China, Germany, Japan, and India. The dataset includes information on 10,000 simulated transactions, focusing on key metrics such as processing time, transaction costs, failure rates, and resilience to risk events.
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To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353
Please cite the following paper when using this dataset:
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706 Views
This dataset is a network representation of authors linked to the publications they have authored or co-authored, collected from OpenAlex.org using the free, open-source tool available at https://openalex4nodexl.netlify.app/. It is provided as a CSV flat file, formatted for use with NodeXL, a popular tool for social network analysis.
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156 Views