📄Time Series Forecasting Based on Complex Network Analysis
📘Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series
📘Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series
📄Scikit-network: Graph Analysis in Python
📘Journal: Journal of Machine Learning Research (I.F= 4.091)
🗓Publish year: 2020
💥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.
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #python #tools
📘Journal: Journal of Machine Learning Research (I.F= 4.091)
🗓Publish year: 2020
💥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.
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #python #tools
Social Network Analysis and Mining for Business Applications.pdf
285.1 KB
📄Social Network Analysis and Mining for Business Applications
📘Journal: Network Analysis and Mining for Business Applications (I.F= 3.868)
🗓Publish year: 2011
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Business
📘Journal: Network Analysis and Mining for Business Applications (I.F= 3.868)
🗓Publish year: 2011
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Business
👍3
📄Graph-based network analysis of resting-state functional MRI
📘Journal: Frontiers in Systems Neuroscience (I.F= 3.203)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
📘Journal: Frontiers in Systems Neuroscience (I.F= 3.203)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
👍1
2010_Social_network_analysis_developments,_advances,_and_prospects.pdf
132.5 KB
📄Social network analysis: developments, advances, and prospects
📘Journal:Social Network Analysis and Mining (I.F= 4.229)
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network
📘Journal:Social Network Analysis and Mining (I.F= 4.229)
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network
Forwarded from Bioinformatics
📃Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#pathway #visualization
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#pathway #visualization
📄Using Names Lists for Social Network Analysis
📘Journal:Umanistica Digitale
🗓Publish year: 2019
💥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.
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Gephi
📘Journal:Umanistica Digitale
🗓Publish year: 2019
💥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.
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network #Gephi
👍3
2010_The_Application_of_Social_Network_Analysis_to_Team_Sports.pdf
355.4 KB
📄The Application of Social Network Analysis to Team Sports
📘Journal: Measurement in Physical Education and Exercise Science (I.F= 2.304)
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network
📘Journal: Measurement in Physical Education and Exercise Science (I.F= 2.304)
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Network
🎞 Social Network Analysis: Application for Business Management
💥Free recorded webinar from MDNA (Master of Data and Network Analytics) by Lisa Chernenko
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Social_Network #Business
💥Free recorded webinar from MDNA (Master of Data and Network Analytics) by Lisa Chernenko
📽 Watch
📲Channel: @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 – creating a collaborative and…
📄An introduction to network analysis for studies of medication use
📘Journal: Research in Social and Administrative Pharmacy (RSAP) (I.F=3.348)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #medication
📘Journal: Research in Social and Administrative Pharmacy (RSAP) (I.F=3.348)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #medication
🎞 Complex Network : Theory and Application
💥Free recorded course on introduction to Complex Network : Theory and Application
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Application
💥Free recorded course on introduction to Complex Network : Theory and Application
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Application
YouTube
Introduction
📄A tutorial on modeling and analysis of dynamic social networks. Part I
📘Journal: Annual Reviews in Control (I.F=10.699)
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #tutorial #dynamic
📘Journal: Annual Reviews in Control (I.F=10.699)
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #tutorial #dynamic
📄Exploring the Social Networks’ Use in the Health-Care Industry: A Multi-Level Analysis
📘Journal: International Journal of Environmental Research and Public Health (I.F=4.614)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Health_Care
📘Journal: International Journal of Environmental Research and Public Health (I.F=4.614)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Health_Care
🎞 Social Network Analysis
💥Free recorded tutorial on Social Network Analysis by Prof Martin Everett
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
💥Free recorded tutorial on Social Network Analysis by Prof Martin Everett
📽 Watch
📱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.…
2019_Sentiment_analysis_for_mining_texts_and_social_networks_data.pdf
4.1 MB
📄Sentiment analysis for mining texts and social networks data: Methods and tools
📘Journal: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (I.F=7.558)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #sentiment_analysis #tools
📘Journal: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (I.F=7.558)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #sentiment_analysis #tools
📄A Survey on Information Diffusion in Online Social Networks: Models and Methods
📘Journal: Information
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Diffusion #survey
📘Journal: Information
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Diffusion #survey
🎞Social Network Analysis: Network research design
💥Free recorded tutorial
💥In this video, how to design social network analysis research is introduced
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #research #design
💥Free recorded tutorial
💥In this video, how to design social network analysis research is introduced
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #research #design
YouTube
Social Network Analysis: Network research design
In this video, we’ll 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 #NetworkResearch…
Graph theory: https://youtu.be/natjwmIGoxQ
Random network: https://youtu.be/vv_dADvLc80
#NetworkAnalysis #NetworkResearch…
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📄Community detection in node-attributed social networks: A survey
📘Journal: COMPUTER SCIENCE REVIEW (I.F=8.757)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community #survey
📘Journal: COMPUTER SCIENCE REVIEW (I.F=8.757)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community #survey
📄Metrics for graph comparison: A practitioner’s guide
📘Journal: PLOS ONE (I.F= 3.752)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #compare
📘Journal: PLOS ONE (I.F= 3.752)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #compare
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🎞 Network Analysis. Lecture 1. Introduction to Network Science
💥Free recorded tutorial on network science
💥Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
💥Free recorded tutorial on network science
💥Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study
📽 Watch
📱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: https://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf
Lecture slides: https://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf