Topic: community-detection-algorithms Goto Github
Some thing interesting about community-detection-algorithms
Some thing interesting about community-detection-algorithms
community-detection-algorithms,Community detection algorithms on custom twitter hashtag networks
User: akshay-a-kulkarni
Home Page: http://hashtag.surge.sh/
community-detection-algorithms,Code and results of internship work performed by Carlos Vargas under supervision of Phd Rémy Cazabet, at LIRIS (https://liris.cnrs.fr/).
User: carlosvargasf
community-detection-algorithms,CS328 Introduction to Data Science - Prof. Anirban Dasgupta - Project: Sparsifying Networks while Preserving Properties
User: guntas-13
community-detection-algorithms,[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD
User: kuroginqin
community-detection-algorithms,This repository includes my project in Python for the Advanced Software Praktika in Data and Text Mining at the University of Heidelberg
User: lorenzopolli
community-detection-algorithms,Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.
Organization: marcottelab
Home Page: https://sites.google.com/view/supercomplex/super-complex-v3-0
community-detection-algorithms,an Algorithm that works on Community Detection
User: mokeddembillel
community-detection-algorithms,Baseline Algorithms for Community Detection
User: panshi2016
community-detection-algorithms,The implementation was done using python networkx and matplot libraries. Zachary karate club dataset is used as a benchmark dataset between the different community detection algorithms. Karate is the well-known and much-used dataset to benchmark algorithms as ground truth of it is two so if a detection algorithm is close to these two sets, then it is most likely to be accurate at detection. The data was collected from the members of a university karate club by Wayne Zachary in 1977. Each node represents a member of the club, and each edge represents a tie between two members of the club. The network is undirected. The network captures 34 members of a karate club, documenting links between pairs of members who interacted outside the club. During the study a conflict arose between the administrator "John A" and instructor "Mr. Hi", which led to the split of the club into two. Half of the members formed a new club around Mr. Hi; members from the other part found a new instructor or gave up karate. Based on collected data Zachary correctly assigned all but one member of the club to the groups they joined after the split.
User: seiftareknassar
community-detection-algorithms, Betweenness centrality method on WormNetv3 Network
User: seiftareknassar
community-detection-algorithms,A Python implementation of improved Label Propagation Algorithm.
User: shimin-cufe
community-detection-algorithms,Social Network Analysis and Visualization software application.
Organization: socnetv
Home Page: https://socnetv.org
community-detection-algorithms,A summary of the work done for the June 2021 FOSSEE Research Internship in R.
User: standardxnonconformist
community-detection-algorithms,Large-Scale Network Community Detection Using Similarity-Guided Merge and Refinement
User: volkantunali
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