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📄Comparison of complex network analysis software: Citespace, SCI 2 and Gephi
📘Conference : 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #software
📄Graph theoretical analysis of complex networks in the brain
📘Journal: Nonlinear Biomedical Physics
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
+1📄Comparing complex networks: in defence of the simple
📘Journal: new journal of physics (I.F=3.716)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Engineering Emergence: A Survey on Control in the World of Complex Networks
📘Journal: MDPI AG (I.F=7.675)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #control
📄Social Network Analysis in Software Development Projects: A Systematic Literature Review
📘Journal: International Journal of Software Engineering and Knowledge Engineering (I.F=1.007)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Software_Development #review
📄Complex Network 2022 Conference Program Details
📎 Program Details
📱Channel: @ComplexNetworkAnalysis
#Conference
📄Exploring complex networks
📘Journal: Nature (I.F=42.778)
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📲Channel: @ComplexNetworkAnalysis
#paper
📄Complex networks and deep learning for EEG signal analysis
📘Journal: Cognitive Neurodynamics (I.F=3.473)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #signal_analysis
📄Complex network measures of brain connectivity: Uses and interpretations
📘Journal: neuroimage (I.F=7.4)
🗓Publish year: 2010
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📲Channel: @ComplexNetworkAnalysis
#paper #brain_connectivity
📄Complex Network Measures for Data Set Characterization
📘Journal: IEEE (I.F=3.616)
🗓Publish year: 2013
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📲Channel: @ComplexNetworkAnalysis
#paper
📄Value of social network analysis for developing and evaluating complex healthcare interventions: a scoping review
📘Journal: BMJ Open (I.F=3.006)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #healthcare #review
📄A Literature Review of Social Network Analysis in Epidemic Prevention and Control
📘Journal: COMPLEXITY (I.F=2.121)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Epidemic #Prevention #review
🎞 The Structure of Complex Networks: Scale-Free and Small-World Random Graphs
💥Free recorded Lecture by Remco van der Hofstad
💥In this lecture for a broad audience, we describe a few real-world networks and some of their empirical properties. We also describe the effectiveness of abstract network modeling in terms of graphs and how real-world networks can be modeled, as well as how these models help us to give sense to the empirical findings. We continue by discussing some random graph models for real-world networks and their properties, as well as their merits and flaws as network models. We conclude by discussing the implications of some of the empirical findings on information diffusion and competition on such networks.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄A guide to choosing and implementing reference models for social network analysis
📘Journal: BIOLOGICAL REVIEWS (I.F=14.35)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #implementing
📄Characterizing cycle structure in complex networks
📘Journal: Communications Physics (I.F=6.497)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper
📄Network Controllability Is Determined by the Density of Low In-Degree and Out-Degree Nodes
🗓Publish year: 2014
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📲Channel: @ComplexNetworkAnalysis
#paper #NetworkControllability
🎞 Complex networks of time-series: what does it reveal more than local interactions?
💥Free recorded Lecture by Amirhossein Shirazi, IFISC (UIB-CSIC)
💥There is a huge literature about extracting the interaction network of these systems in molecular biology, neuroscience and economy. Although this approach invigorates these disciplines to deal with large data, it usually focuses on microscopic results. In this presentation, I will suggest some holistic approaches towards the analysis of these networks, based on two examples: medical words network evolution and stock market network near the crisis. Finally, I will try to connect the measured global indicators to dynamics of the system, using the idea of symmetry breaking in the spin glass models.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
🎞 Complex Networks, Simple Rules
💥Free recorded Lecture
💥Complex networks are all around us, and they can be generated by simple mechanisms. Understanding what kinds of networks can be produced by following simple rules is therefore of great importance. We investigate this issue by studying the dynamics of extremely simple systems where are `writer' moves around a network, and modifies it in a way that depends upon the writer's surroundings. Each vertex in the network has three edges incident upon it, which are colored red, blue and green.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄The Co-authorship Network of Published Articles in Conferences on Web Research Based on Social Network Analysis
📘Journal: International Journal on Web Research (IJWR)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Co_authorship_Network
📄A Comprehensive Survey on Community Detection with Deep Learning
📘Journal: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (I.F=14.26)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning #survey
