πGraph-based network analysis of resting-state functional MRI
πJournal: Frontiers in Systems Neuroscience (I.F= 3.203)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #brain
πJournal: Frontiers in Systems Neuroscience (I.F= 3.203)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #brain
π1
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
Forwarded from Bioinformatics
πGraph Models for Biological Pathway Visualization: State of the Art and Future Challenges
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#pathway #visualization
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#pathway #visualization
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¦
πAn introduction to network analysis for studies of medication use
πJournal: Research in Social and Administrative Pharmacy (RSAP) (I.F=3.348)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #medication
πJournal: Research in Social and Administrative Pharmacy (RSAP) (I.F=3.348)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #medication
π Complex Network : Theory and Application
π₯Free recorded course on introduction to Complex Network : Theory and Application
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Application
π₯Free recorded course on introduction to Complex Network : Theory and Application
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Application
YouTube
Introduction
πA tutorial on modeling and analysis of dynamic social networks. Part I
πJournal: Annual Reviews in Control (I.F=10.699)
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #tutorial #dynamic
πJournal: Annual Reviews in Control (I.F=10.699)
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #tutorial #dynamic
πExploring the Social Networksβ Use in the Health-Care Industry: A Multi-Level Analysis
πJournal: International Journal of Environmental Research and Public Health (I.F=4.614)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Health_Care
πJournal: International Journal of Environmental Research and Public Health (I.F=4.614)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Health_Care
π Social Network Analysis
π₯Free recorded tutorial on Social Network Analysis by Prof Martin Everett
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
π₯Free recorded tutorial on Social Network Analysis by Prof Martin Everett
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
YouTube
What is Social Network Analysis? by Prof Martin Everett
The focus of social network analysis is on the network of relations. A social network consists of a set of actors (also called nodes or vertices) together with a set of edges (also called arcs) that link pairs of actors. Since edges can share actors (e.g.β¦
2019_Sentiment_analysis_for_mining_texts_and_social_networks_data.pdf
4.1 MB
πSentiment analysis for mining texts and social networks data: Methods and tools
πJournal: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (I.F=7.558)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #sentiment_analysis #tools
πJournal: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (I.F=7.558)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #sentiment_analysis #tools
πA Survey on Information Diffusion in Online Social Networks: Models and Methods
πJournal: Information
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Diffusion #survey
πJournal: Information
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Diffusion #survey
πSocial Network Analysis: Network research design
π₯Free recorded tutorial
π₯In this video, how to design social network analysis research is introduced
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #research #design
π₯Free recorded tutorial
π₯In this video, how to design social network analysis research is introduced
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #research #design
YouTube
Social Network Analysis: Network research design
In this video, weβll introduce how to design social network analysis research. Here are the links to graph theory and random network theory.
Graph theory: https://youtu.be/natjwmIGoxQ
Random network: https://youtu.be/vv_dADvLc80
#NetworkAnalysis #NetworkResearchβ¦
Graph theory: https://youtu.be/natjwmIGoxQ
Random network: https://youtu.be/vv_dADvLc80
#NetworkAnalysis #NetworkResearchβ¦
π1
πCommunity detection in node-attributed social networks: A survey
πJournal: COMPUTER SCIENCE REVIEW (I.F=8.757)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community #survey
πJournal: COMPUTER SCIENCE REVIEW (I.F=8.757)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community #survey
πMetrics for graph comparison: A practitionerβs guide
πJournal: PLOS ONE (I.F= 3.752)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #compare
πJournal: PLOS ONE (I.F= 3.752)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #compare
π2
π Network Analysis. Lecture 1. Introduction to Network Science
π₯Free recorded tutorial on network science
π₯Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
π₯Free recorded tutorial on network science
π₯Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
YouTube
Network Analysis. Lecture 1. Introduction to Network Science
Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study.
Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf
Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf
2016_Social_networks_and_information_retrieval,_how_are_they_converging.pdf
689.2 KB
πSocial networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms
πJournal: Information systems (I.F=3.18)
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #converging #taxonomy #platforms #survey
πJournal: Information systems (I.F=3.18)
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #converging #taxonomy #platforms #survey
2022_Complex_network_based_traffic_network_analysis_and_dynamics.pdf
421.9 KB
πComplex-network-based traffic network analysis and dynamics: A comprehensive review
πJournal: Physica A: Statistical Mechanics and its Applications (I.F= 3.95)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #traffic_network
πJournal: Physica A: Statistical Mechanics and its Applications (I.F= 3.95)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #traffic_network
π1
2012-Graph mining A survey of graph mining techniques.pdf
643.7 KB
πGraph mining: A survey of graph mining techniques
πConference: Seventh International Conference on Digital Information Management (ICDIM 2012)
πPublish year: 2012
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #survey #mining
πConference: Seventh International Conference on Digital Information Management (ICDIM 2012)
πPublish year: 2012
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #survey #mining