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2010_The_Application_of_Social_Network_Analysis_to_Team_Sports.pdf
355.4 KB
πŸ“„The Application of Social Network Analysis to Team Sports

πŸ“˜Journal: Measurement in Physical Education and Exercise Science (I.F= 2.304)
πŸ—“Publish year: 2010

πŸ“ŽStudy paper

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#paper #Social_Network
πŸ“•What is Social Network Analysis?

πŸ“Authors: Scott, John

πŸ’₯ This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, this book presents the key ideas in context through examples and illustrations.

πŸ“Ž Study the book

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#book #Social_Network
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2020_The_four_dimensions_of_social_network_analysis_An_overview.pdf
4.2 MB
πŸ“„The four dimensions of social network analysis: An overview of research methods, applications, and software tools

πŸ“˜Journal: Information Fusion(I.F=12.975)
πŸ—“Publish year: 2020

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#paper #social_network #tool #application
πŸ‘3
Social_Network_Theory_in_Construction_Industry_A_Scientometric_Review.pdf
414.4 KB
πŸ“„Social Network Theory in Construction Industry: A Scientometric Review

πŸ“˜Conference: Recent Trends in Civil Engineering

πŸ—“Publish year: 2022

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#paper #Review #Social_Network
πŸ“„A Social Network Analysis of Occupational Segregation

πŸ“˜Journal: journal of economic dynamics and control (I.F=1.53)
πŸ—“Publish year: 2022

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#paper #Social_Network
πŸ“„Data Analysis in Social Networks for Agribusiness: A Systematic Review

πŸ“˜Journal: IEEE Access(I.F=4.34)
πŸ—“Publish year: 2023

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#paper #Social_Network #Review
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πŸŽ“Interpretable and Effortless Techniques for Social Network Analysis

πŸ“˜PhD’s Dissertation, in Universidad de Granada, department of computer science and artificial intelligence, by Manuel Francisco Aparicio.

πŸ—“Publish year: 2022

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#Dissertation #Social_Network #Techniques
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🎞 Webinar: Social Network Analysis: Fundamental Concepts

πŸ’₯Free recorded Webinar

πŸ’₯This free webinar, organised by the UK Data Service, is the first in a series of three on understanding and using SNA methods for
social science research purposes. In this webinar they cover the fundamental concepts and terms underpinning SNA, and demonstrate how network data is structured and differs from more traditional social science datasets (e.g. social surveys). We will also outline a simple analysis of social network data using the Python programming language. As a result of attending this webinar, participants will possess the necessary knowledge and vocabulary to undertake a SNA research project.

πŸ“½ Watch

πŸ“²Channel: @ComplexNetworkAnalysis

#video #Webinar #Social_Network
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πŸ“•Exploratory Social Network Analysis with Pajek

πŸ’₯The book "Exploratory Social Network Analysis with Pajek" by Wouter De Noy, Andrey Mrvar and Vladimir Batagel is dedicated to teaching social network analysis, visualization and application of this knowledge in Pajek. Ultimately, readers will gain the knowledge, skills, and tools to apply social network analysis to a variety of disciplines.

🌐 Read online

πŸ“²Channel: @ComplexNetworkAnalysis

#book #Social_Network
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πŸ“‘ Social network analysis of COVID-19 transmission in Karnataka, India

πŸ“˜Journal: Epidemiology & Infection (I.F.=4.434)
πŸ—“Publish year: 2020

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#paper #Social_network #COVID_19
πŸ‘3πŸ‘1
From_Social_Networks_to_Time_Series_Methods_and_Applications_1.pdf
1 MB
πŸ“•From Social Networks to Time Series: Methods and Applications


πŸ“
Authors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.

πŸ—“ publish year: 2017
πŸ“–
Study book

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#book #Social_Network #Application
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πŸ“‘Exploring social-emotional learning, school climate, and social network analysis

πŸ“˜journal: Journal of Community Psychology(I.F=2.297)
πŸ—“Publish year: 2022
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#paper #social_network
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πŸ“‘Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network

πŸ“˜Conference: Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

πŸ’₯
Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory. In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes’ power, activity, communication convenience and so on. Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements. Thispaper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.

πŸ—“Publish year: 2017

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#paper #Centrality #Social_Network #Clustering
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πŸ“„Centrality measures in fuzzy social networks

πŸ“˜journal: Information systems (l.F=7.767)
πŸ—“Publish year: 2023

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#paper #social_network #fuzzy #Centrality
πŸ“„Applications of social network analysis in promoting circular economy: a literature review

πŸ“˜ Published by Vilnius Gediminas Technical University.
πŸ—“Publish year: 2023

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#paper #social_network #review #economy
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πŸ“ƒ A social network of crime: A review of the use of social networks for crime and the detection of crime

πŸ“˜ Journal: Online Social Networks and Media (I.F=7.61)
πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Brett Drury, Samuel Morais Drury, Md Arafatur Rahman, Ihsan Ullah
🏒Universities: National University of Ireland Galway, University College Dublin, Liverpool Hope University, University Malaysia Pahang

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#paper #crime #social_network #Review
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Quantum_Social_Network_Analysis_for_Community_Detection_A_Comprehensive.pdf
706.6 KB
πŸ“ƒ Quantum-Social Network Analysis for Community Detection: A Comprehensive Review

πŸ—“ Publish year: 2024
πŸ“˜Journal: IEEE Transactions on Computational Social Systems (I.F: 5.61)

πŸ§‘β€πŸ’»Authors: Samya Muhuri; Shashank Sheshar Singh
🏒University: Thapar Institute of Engineering and Technology
πŸ—Ί Country: India

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#paper #Quantum #Social_Network #Community_Detection #Review
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πŸ“ƒ FairSNA: Algorithmic Fairness in Social Network Analysis

πŸ—“ Publish year: 2024
πŸ“˜ Journal: ACM Computing Surveys (I.F=23,8)

πŸ§‘β€πŸ’»Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
πŸ—Ί Country: Netherlands

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#paper #Survey #Fairness #Social_Network_Analysis