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2018_A_Systematic_Review_on_Social_Network_Analysis_Tools,_Algorithms.pdf
383.2 KB
πŸ“„A Systematic Review on Social Network Analysis: Tools, Algorithms and Frameworks

πŸ“˜Conference: International Conference on Computing and Big Data

πŸ—“Publish year: 2018

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #review #Algorithms
2023_A_survey_on_identification_of_influential_users_in_social_media.pdf
460.6 KB
πŸ“„ A survey on identification of influential users in social media networks using bio inspired algorithms

πŸ“˜journal: Procedia Computer Science
πŸ—“Publish year: 2023

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
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2020_A_survey_on_network_node_ranking_algorithms_Representative.pdf
793.4 KB
πŸ“„A survey on network node ranking algorithms: Representative methods, extensions, and applications

πŸ“˜journal: Science China Technological Sciences(I.F= 4.6)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
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πŸ“„Graph Theory and Algorithms for Network Analysis

πŸ“˜Conference: International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
πŸ—“
Publish year: 2023

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Algorithms
🎞 Anomaly Detection: Algorithms, Explanations, Applications

πŸ’₯Free recorded tutorial by Dr. Dietterich’s.He is part of the leadership team for OSU’s Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics

πŸ’₯Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly β€œalarms” to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Anomaly_Detection #Algorithms #Explanations #Applications
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πŸŽ“ Machine Learning for Graph Algorithms and Representations

πŸ“˜A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering Sciences
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Author: Allison Mann
🏒University: College Hanover, New Hampshire

πŸ“ŽStudy Thesis

πŸ“±Channel: @ComplexNetworkAnalysis
#Thesis #Machine_Learning #Algorithms #Representations
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πŸ“ƒOptimizing Graph Theory Algorithms for Social Network Analysis

πŸ—“ Publish year: 2024
πŸ“˜Journal: Communications on Applied Nonlinear Analysis

πŸ§‘β€πŸ’»Authors: Susanta Kumar Sahoo,Sasmita Mishra
🏒University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms