πApplying Social Network Analysis to Identify Project Critical Success Factors
πJournal: Sustainability (I.F= 3.889)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
πJournal: Sustainability (I.F= 3.889)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
πNetwork analysis of international export pattern
πJournal: Social Network Analysis and Mining (SNAM)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #export
πJournal: Social Network Analysis and Mining (SNAM)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #export
π1
π Complex Network for Data Analysis. Stefano Boccaletti
π₯Free recorded lecture by Stefano Boccaletti
π₯In this fourth lecture, I will describe how networks can be used for data analysis, and will in particular introduce two classes of networks (functional networks and parenclitic networks) which have recently found application in various fields of science
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
π₯Free recorded lecture by Stefano Boccaletti
π₯In this fourth lecture, I will describe how networks can be used for data analysis, and will in particular introduce two classes of networks (functional networks and parenclitic networks) which have recently found application in various fields of science
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
YouTube
Complex Network for Data Analysis. Stefano Boccaletti
Audio is missing until 24:45
Course playlist: https://www.youtube.com/playlist?list=PL4_hYwCyhAvYRMcCHSVbghzmpa8gOtli4
Date: 19.11.2019
In this fourth lecture, I will describe how networks can be used for data analysis, and will in particular introduceβ¦
Course playlist: https://www.youtube.com/playlist?list=PL4_hYwCyhAvYRMcCHSVbghzmpa8gOtli4
Date: 19.11.2019
In this fourth lecture, I will describe how networks can be used for data analysis, and will in particular introduceβ¦
Forwarded from Bioinformatics
πChallenges and opportunities in network-based solutions for biological questions
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#network #challenges
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#network #challenges
πTime Series Forecasting Based on Complex Network Analysis
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Time_Series
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Time_Series
πScikit-network: Graph Analysis in Python
πJournal: Journal of Machine Learning Research (I.F= 4.091)
πPublish year: 2020
π₯Abstract: Scikit-network is a Python package inspired by scikit-learn for the analysis of large graphs. Graphs are represented by their adjacency matrix in the sparse CSR format of SciPy. The package provides state-of-the-art algorithms for ranking, clustering, classifying, embedding and visualizing the nodes of a graph. High performance is achieved through a mix of fast matrix-vector products (using SciPy), compiled code (using Cython) and parallel processing. The package is distributed under the BSD license, with dependencies limited to NumPy and SciPy. It is compatible with Python 3.6 and newer. Source code, documentation and installation instructions are available online.
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #python #tools
πJournal: Journal of Machine Learning Research (I.F= 4.091)
πPublish year: 2020
π₯Abstract: Scikit-network is a Python package inspired by scikit-learn for the analysis of large graphs. Graphs are represented by their adjacency matrix in the sparse CSR format of SciPy. The package provides state-of-the-art algorithms for ranking, clustering, classifying, embedding and visualizing the nodes of a graph. High performance is achieved through a mix of fast matrix-vector products (using SciPy), compiled code (using Cython) and parallel processing. The package is distributed under the BSD license, with dependencies limited to NumPy and SciPy. It is compatible with Python 3.6 and newer. Source code, documentation and installation instructions are available online.
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #python #tools
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
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