Network Analysis Resources & Updates
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πŸ“„A survey of tools for social network analysis

πŸ“˜Journal: International Journal of Web Engineering and Technology

πŸ—“Publish year: 2021

πŸ“Ž
Study paper

πŸ“±Channel: @ComplexNetworkAnalysis

#paper #survey #tools
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2014-Social Network Analysis Tools.pdf
237.6 KB
πŸ“„Social Network Analysis Tools

πŸ“˜
Conference: 2014 Fourth International Conference on Communication Systems and Network Technologies

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Tools
πŸ“„Social Network Analysis Visualization Tools: A Comparative Review

πŸ“˜Conference: 2020 IEEE 23rd International Multitopic Conference (INMIC)

πŸ—“Publish year: 2021

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Social_network #Review #Tools
2017-Efficiency assessment using network analysis tools.pdf
2.7 MB
πŸ“„Efficiency assessment using network analysis tools

πŸ“˜Journal: Journal of the Operational Research Society (I.F=2.175)

πŸ—“Publish year: 2017

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #tools
πŸ“„Scikit-network: Graph Analysis in Python

πŸ“˜Journal: Journal of Machine Learning Research (I.F= 4.091)
πŸ—“Publish year: 2020

πŸ’₯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.

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #python #tools
2019_Sentiment_analysis_for_mining_texts_and_social_networks_data.pdf
4.1 MB
πŸ“„Sentiment analysis for mining texts and social networks data: Methods and tools

πŸ“˜
Journal: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (I.F=7.558)

πŸ—“Publish year: 2019

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #sentiment_analysis #tools
πŸ“„Basic and Advanced Network Visualization with Gephi

πŸ’₯Technical paper

πŸ“˜ PDF

πŸ’» data

πŸ“²Channel: @ComplexNetworkAnalysis

#tools #Gephi
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πŸ“„Basic and Advanced Network Visualization with R

πŸ’₯Technical paper

πŸ“˜ PDF

πŸ’» Code

πŸ—‚οΈ data

πŸ“²Channel: @ComplexNetworkAnalysis

#tools #R #code
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πŸ“„Networks visualization

πŸ’₯Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App

πŸ“ŽGephi, Gephisto, Cytoscape, NodeXL, Graphia App

πŸ“²Channel: @ComplexNetworkAnalysis

#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
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πŸ“„The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Dimensions #Methods #Application #Software #Tools #Overview
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πŸ“„A Survey on Hypergraph Mining: Patterns, Tools, and
Generators

πŸ—“Publish year: 2024

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Hypergraph #Patterns #Tools #Generators #Survey
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🎞 Introduction to Network Analysis Methodologies and Tools

πŸ’₯Are you interested in the connections between people? Places? Concepts? Things? Do you want to visualize data in a way that is comprehensible to a human? Do you want to see how information flows through systems? Then network analysis is for you! This introductory workshop will introduce participants to network analysis, with an emphasis on its use for data-driven humanities research.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis
#video #Methodologies #Tools
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