visualization and sample code from Java Universal Network Graph ported to use JGraphT models and algorithms
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Updated
Mar 17, 2024 - Java
visualization and sample code from Java Universal Network Graph ported to use JGraphT models and algorithms
We propose two algorithms to efficiently estimate the effective diameter and other distance metrics on very large graphs that are based on the neighborhood function such as the exact diameter, the (effective) radius or the average distance.
An efficient and effective GRASP algorithm for the Budget Influence Maximization Problem
A cross-platform social network analysis software.
A framework for REcommending LInks in SOcial Networks
Sourcecode for Gephi plugins that compute a number of graph-layout readability metrics.
Largest independent subgraph in social circles
Data Analysis, Data Science, DBLP Social Network, Social Network Analysis, Structural clustering algorithm for networks, WSAN, TFP-WSCAN,
Smart Untact Meeting / 전문가추천시스템 APP
The Preferential Deletion Model with Changing in Existing Connections (PDCModel) is an extension of the discrete-time random graph generation process described by Narsingh Deo and Aurel Cami in 2005. This new model accounts for changes in existing edges for every unit of time, representing the behavior of social circles more accurately. 2020.
The Preferential Deletion Model (PDModel) is an implementation of the original discrete-time random graph generation process described by Narsingh Deo and Aurel Cami. 2020.
Java implementation of a new Neighbourhood Overlap Measure
A tool for Social Network Analysis to experiment with segregation models.
My Capstone project for OOP: Data Structures & Beyond Specialization offered by UC San Diego ---- NP-Complete Problem of Exact Cover Set
Hotel Recommendation system based on Content, Collaborative, Social Network Based Systems
A social network and metro system representation - Shortest path problem
Chat bots aggregator of different social networks
📝 Text Data Analysis & Machine Learning on supermarket's Social Network non-English Comments using limited language resources via Java, Scala & Apache Spark.
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