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Network Analysis Resources & Updates

Network Analysis Resources & Updates

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📄Using Names Lists for Social Network Analysis 📘Journal:Umanistica Digitale 🗓Publish year: 2019 💥Abstract: In this paper,
📄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

Repost from Bioinformatics
📃Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges 🗓Publish year: 2021 📎 Study the
📃Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges 🗓Publish year: 2021 📎 Study the paper 📲Channel: @Bioinformatics #pathway #visualization

📄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

📄Graph-based network analysis of resting-state functional MRI 📘Journal: Frontiers in Systems Neuroscience (I.F= 3.203) 🗓Pu
📄Graph-based network analysis of resting-state functional MRI 📘Journal: Frontiers in Systems Neuroscience (I.F= 3.203) 🗓Publish year: 2010 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #FMRI

📄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

📄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

📄Scikit-network: Graph Analysis in Python 📘Journal: Journal of Machine Learning Research (I.F= 4.091) 🗓Publish year: 2020
📄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 #Social_network

📄Time Series Forecasting Based on Complex Network Analysis 📘Journal: IEEE Access (I.F=3.476) 🗓Publish year: 2019 📎Study p
📄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

Repost from Bioinformatics
📑Challenges and opportunities in network-based solutions for biological questions 📘Journal: Briefing in Bioinformatics (I.F
📑Challenges and opportunities in network-based solutions for biological questions 📘Journal: Briefing in Bioinformatics (I.F.=13.994) 🗓Publish year: 2022 📎 Study the paper 📲Channel: @Bioinformatics #network #challenges

🎞 Complex Network for Data Analysis. Stefano Boccaletti 💥Free recorded lecture by Stefano Boccaletti 💥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 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video

🎞 Complex Network for Data Analysis. Stefano Boccaletti 💥Free recorded lecture by Stefano Boccaletti 💥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 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video

🎞 Complex Network for Data Analysis. Stefano Boccaletti 💥Free recorded lecture by Stefano Boccaletti 💥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 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video

📄Network analysis of international export pattern 📘Journal: Social Network Analysis and Mining (SNAM) (I.F=3.476) 🗓Publish
📄Network analysis of international export pattern 📘Journal: Social Network Analysis and Mining (SNAM) (I.F=3.476) 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #export

📄Applying Social Network Analysis to Identify Project Critical Success Factors 📘Journal: Sustainability (I.F= 3.889) 🗓Publ
📄Applying Social Network Analysis to Identify Project Critical Success Factors 📘Journal: Sustainability (I.F= 3.889) 🗓Publish year: 2020 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network

📄Social network analysis: A methodological introduction 📘Journal: Asian Journal of Social Psychology (I.F= 1.424) 💥Abstract: Social network analysis is a large and growing body of research on the measurement and analysis of relational structure. Here, we review the fundamental concepts of network analysis, as well as a range of methods currently used in the field. Issues pertaining to data collection, analysis of single networks, network comparison, and analysis of individual-level covariates are discussed, and a number of suggestions are made for avoiding common pitfalls in the application of network methods to substantive questions. 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network

📄Italian tourism intermediaries: a social network analysis exploration 📘Journal: Current Issues in Tourism 🗓Publish year: 2020 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network

📄Social network analysis: organizational implications in tourism management 📘Journal: Social network analysis (I.F=4.144) 🗓Publish year: 2021 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network

📄Efficiency assessment using network analysis tools 📘Journal: Journal of the Operational Research Society (I.F=2.175) 🗓Publish year: 2017 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #tools

📄Social network analysis: Characteristics of online social networks after a disaster 📘Journal: International Journal of Information Management (I.F=14.098) 🗓Publish year: 2018 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network

📄Social Network Analysis Visualization Tools: A Comparative Review 📘Journal: International Journal of Information Managemen
📄Social Network Analysis Visualization Tools: A Comparative Review 📘Journal: International Journal of Information Management (I.F=14.098) 🗓Publish year: 2021 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network #Review #Tools