Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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2018_Link_Prediction_in_Dynamic_Social_Networks_A_Literature_Review.pdf
412.6 KB
📄Link Prediction in Dynamic Social Networks: A Literature Review

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Conference : 2018 IEEE 5th International Congress on Information Science and Technology (CiSt)

🗓Publish year: 2018

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #review
Forwarded from Bioinformatics
👨‍🏫Network analysis of protein interaction data
💥Free online tutorial from EMBL-EBI

🚪Enter course

📲Channel: @Bioinformatics
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📄Graph Neural Networks in IoT: A Survey

🗓Publish year: 2022

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #IoT #survey
👍1
📄Privacy issues in social networks and analysis: a comprehensive survey

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Journal: IET NETWORKS

🗓Publish year: 2018

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Privacy #survey
📄A Survey Of Link Prediction In Social Network Using Deep Learning Approach

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Journal: International Journal of Scientific & Technology Research

🗓Publish year: 2020

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_Learning
📄Survey of Graph Neural Networks and Applications

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Journal: Wireless Communications and Mobile Computing (I.F=2.146)

🗓Publish year: 2022

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Survey #Applications
👍1
📄Social network analysis in Telecom data

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Journal: Big Data (I.F=10.835)

🗓Publish year: 2019

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Telecom
🎓Social network analysis approaches to study crime

📘Doctoral thesis submitted in fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematics and Computational Sciences

🗓Publish year: 2022

📎 Study

📱Channel: @ComplexNetworkAnalysis
#thesis #crime
📄Covert Network Construction, Disruption, and Resilience: A Survey

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Journal: MATHEMATICS (I.F= 2.592)

🗓Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Covert_Network #Resilience #Survey
📄Social network analysis for social neuroscientists

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Journal: SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(I.F= 4.235)

🗓Publish year: 2020

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #neuroscientists
📄Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications

🗓Publish year: 2020

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Signal_Processing #Machine_Learning
2020_Linking_Network_Characteristics_of_Online_Social_Networks_to.pdf
613.7 KB
📄Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature

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Journal: Health Communication (I.F= 3.501)

🗓Publish year: 2020

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Health #review
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🎞 Graph-Powered Machine Learning

💥Free recorded Lecture

💥Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank (Pregel), Recommendation Engines (collaborative filtering), text summarization, and other NLP tasks. Also, the recent developments with Graph Neural Networks connect the worlds of Graphs and Machine Learning even further.
Considering data pre-processing and feature engineering which are both vital tasks in Machine Learning Pipelines extends this relationship across the entire ecosystem. In this session, we will investigate the entire range of Graphs and Machine Learning with many practical exercises.

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #Lecture #Machine_Learning
📄Survey on graph embeddings and their applications to machine learning problems on graphs

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Journal: PeerJ Computer Science (I.F= 2.41)

🗓Publish year: 2021

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey #graph_embedding #Machine_Learning
2018_Opinion leader detection A methodological review.pdf
7.7 MB
📄Opinion leader detection: A methodological review

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Journal: EXPERT SYSTEMS WITH APPLICATIONS (I.F=8.665)

🗓Publish year: 2018

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #leader #review
📄Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

🗓Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Acceleration #Survey
📄Representation Learning on Graphs: Methods and Applications

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Journal: IEEE Data Engineering Bulletin

🗓Publish year: 2017

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning
🎞 Graph Search, Shortest Paths, and Data Structures

💥Free recorded course by Tim Roughgarden

💥The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #course #Graph
📘 Graph Representation Learning

💥
Free online book by William L. Hamilton


🗓Publish
year: 2020

📎 Study the book

📲Channel: @ComplexNetworkAnalysis

#book #Graph