Social Network Analysis and Mining for Business Applications.pdf
285.1 KB
πSocial Network Analysis and Mining for Business Applications
πJournal: Network Analysis and Mining for Business Applications (I.F= 3.868)
πPublish year: 2011
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Business
πJournal: Network Analysis and Mining for Business Applications (I.F= 3.868)
πPublish year: 2011
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Business
π3
2010_Social_network_analysis_developments,_advances,_and_prospects.pdf
132.5 KB
πSocial network analysis: developments, advances, and prospects
πJournal:Social Network Analysis and Mining (I.F= 4.229)
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
πJournal:Social Network Analysis and Mining (I.F= 4.229)
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
πUsing Names Lists for Social Network Analysis
πJournal:Umanistica Digitale
πPublish year: 2019
π₯Abstract: In this paper, I discuss using digital names lists compiled from analog sources for social network analysis. Using examples from finding aids of archival collections, I demonstrate how social network analysis can show relationships and contrasts between different datasets of names or be used to show relationships within a single set of names. Data visualization tools such as Gephi aid in the analysis and present the relationships in an easily understandable way. Exposing relationships between collections or within a collection increases its findability.
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Gephi
πJournal:Umanistica Digitale
πPublish year: 2019
π₯Abstract: In this paper, I discuss using digital names lists compiled from analog sources for social network analysis. Using examples from finding aids of archival collections, I demonstrate how social network analysis can show relationships and contrasts between different datasets of names or be used to show relationships within a single set of names. Data visualization tools such as Gephi aid in the analysis and present the relationships in an easily understandable way. Exposing relationships between collections or within a collection increases its findability.
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Gephi
π3
2010_The_Application_of_Social_Network_Analysis_to_Team_Sports.pdf
355.4 KB
πThe Application of Social Network Analysis to Team Sports
πJournal: Measurement in Physical Education and Exercise Science (I.F= 2.304)
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
πJournal: Measurement in Physical Education and Exercise Science (I.F= 2.304)
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
π Social Network Analysis: Application for Business Management
π₯Free recorded webinar from MDNA (Master of Data and Network Analytics) by Lisa Chernenko
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Social_Network #Business
π₯Free recorded webinar from MDNA (Master of Data and Network Analytics) by Lisa Chernenko
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Social_Network #Business
YouTube
Social Network Analysis: Application for Business Management
As stated by Rob Cross, organizational network analysis (ONA) is an X-ray into the actual processes evolving in the organization. Many tasks faced by a manager can be effectively addressed using ONA instruments. Examples are β creating a collaborative andβ¦
πWhat is Social Network Analysis?
πAuthors: Scott, John
π₯ 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.
π Study the book
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
πAuthors: Scott, John
π₯ 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.
π Study the book
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π2
2020_The_four_dimensions_of_social_network_analysis_An_overview.pdf
4.2 MB
πThe four dimensions of social network analysis: An overview of research methods, applications, and software tools
πJournal: Information Fusion(I.F=12.975)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #social_network #tool #application
πJournal: Information Fusion(I.F=12.975)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #social_network #tool #application
π3
πApplied Social Network Analysis in Python by University of Michigan on Coursera
π₯Free course by Daniel Romero
π»Codes
π²Channel: @ComplexNetworkAnalysis
#code #course #Social_Network #python
π₯Free course by Daniel Romero
π»Codes
π²Channel: @ComplexNetworkAnalysis
#code #course #Social_Network #python
GitHub
GitHub - sambhipiyuushh/Applied-Social-Network-Analysis-in-Python-University-of-Michigan: Applied Social Network Analysis in Pythonβ¦
Applied Social Network Analysis in Python by University of Michigan on Coursera - sambhipiyuushh/Applied-Social-Network-Analysis-in-Python-University-of-Michigan
Social_Network_Theory_in_Construction_Industry_A_Scientometric_Review.pdf
414.4 KB
πSocial Network Theory in Construction Industry: A Scientometric Review
πConference: Recent Trends in Civil Engineering
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #Social_Network
πConference: Recent Trends in Civil Engineering
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #Social_Network
πA Social Network Analysis of Occupational Segregation
πJournal: journal of economic dynamics and control (I.F=1.53)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
πJournal: journal of economic dynamics and control (I.F=1.53)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
πData Analysis in Social Networks for Agribusiness: A Systematic Review
πJournal: IEEE Access(I.F=4.34)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Review
πJournal: IEEE Access(I.F=4.34)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Review
π2
πInterpretable and Effortless Techniques for Social Network Analysis
πPhDβs Dissertation, in Universidad de Granada, department of computer science and artificial intelligence, by Manuel Francisco Aparicio.
πPublish year: 2022
πStudy Dissertation
π²Channel: @ComplexNetworkAnalysis
#Dissertation #Social_Network #Techniques
πPhDβs Dissertation, in Universidad de Granada, department of computer science and artificial intelligence, by Manuel Francisco Aparicio.
πPublish year: 2022
πStudy Dissertation
π²Channel: @ComplexNetworkAnalysis
#Dissertation #Social_Network #Techniques
π3
π Webinar: Social Network Analysis: Fundamental Concepts
π₯Free recorded Webinar
π₯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.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Webinar #Social_Network
π₯Free recorded Webinar
π₯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.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Webinar #Social_Network
YouTube
Webinar: Social Network Analysis: Fundamental Concepts
Vast swathes of our social interactions and personal behaviours are now conducted online and/or captured digitally. Thus, computational methods for collecting, cleaning and analysing data are an increasingly important component of a social scientistβs toolkit.β¦
π₯3
πExploratory Social Network Analysis with Pajek
π₯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.
π Read online
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π₯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.
π Read online
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π3
π Social network analysis of COVID-19 transmission in Karnataka, India
πJournal: Epidemiology & Infection (I.F.=4.434)
πPublish year: 2020
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
πJournal: Epidemiology & Infection (I.F.=4.434)
πPublish year: 2020
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
π3π1
From_Social_Networks_to_Time_Series_Methods_and_Applications_1.pdf
1 MB
πFrom Social Networks to Time Series: Methods and Applications
πAuthors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.
π publish year: 2017
π Study book
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network #Application
πAuthors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.
π publish year: 2017
π Study book
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network #Application
π4
πExploring social-emotional learning, school climate, and social network analysis
πjournal: Journal of Community Psychology(I.F=2.297)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #social_network
πjournal: Journal of Community Psychology(I.F=2.297)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #social_network
π2