Network Analysis Resources & Updates
Open in Telegram
Are you seeking assistance or eager to collaborate? Don't hesitate to dispatch your insights, inquiries, proposals, promotions, bulletins, announcements, and more to our channel overseer. We're all ears! Contact: @Questioner2
Show more3 136
Subscribers
-124 hours
+137 days
+4230 days
Posts Archive
📄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
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Network Controllability Is Determined by the Density of Low In-Degree and Out-Degree Nodes
🗓Publish year: 2014
📎 Study the paper
📲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
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning #survey
📄Graph Neural Networks: a bibliometrics overview
📘Journal: Machine Learning with Applications (MLWA)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #overview
🎞 Introduction to Static Complex Networks
💥Free recorded course by Professor Stephen Lansing
💥This course explores the features of complexity science. Our world is connected by an abundance of complex systems. Across all levels of organizations from physical, biological world to the social world, we may think of the connectivity between individual elements and how they interact and influence each other. For example, how humans transmit pandemics within a group, how cars interact in the traffic system and how networks connect in governmental organizations. Although these systems are diverse and different, they have surprisingly huge features in common. In the past several decades, the study of complexity science has been increasing. It is widely acknowledged that an innovative, integrated and analytical way of thinking is essential for understanding the complex issues in the human societies. In this course, we will aim to give everyone a comprehensive introduction of the complex systems, to talk about the resilience, robustness and sustainability of the systems and to learn basic mathematical methods for complex system analysis, for example regime shifts and tipping points, the agent-based modelling, the dynamic and network theories. Most importantly, we will implement the theories into practical applications of cities and health to help students gain practice in complex systems way of thinking.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course
📄Implement Louvain Community Detection Algorithm using Python and Gephi with visualization
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #Gephi #Louvain #code #python
🎞 Multi-agent models in complex networks
💥Free recorded Lecture by Pablo Balenzuela (University of Buenos Aires, Argentina)
📽 Watch: part1 part2 part3 part4
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄Community Detection Methods in Social Network Analysis
📘Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)
🗓Publish year: 2014
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
🎞 Modeling epidemics on complex networks
💥Free recorded Lecture in Department of Computer Science IIL Ropar
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄A Review on Graph Theory in Network and Artificial Intelligence
📘Conference: International Conference on Robotics and Artificial Intelligence (RoAI) 2020 28-29 December 2020, Chennai, India
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Artificial_Intelligence
📄Community Detection Algorithms
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
+1📄Bipartite Graphs as Models of Complex Networks
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄A Review of Graph and Network Complexity from an Algorithmic Information Perspective
📘Journal: Entropy (I.F=2.738)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review
