Topic: community-detection-evaluation Goto Github
Some thing interesting about community-detection-evaluation
Some thing interesting about community-detection-evaluation
community-detection-evaluation,A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
community-detection-evaluation,Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)
Organization: exascaleinfolab
community-detection-evaluation,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-evaluation,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-evaluation,Benchmark Generator for Dynamic Overlapping Communities
User: senguptaneha
community-detection-evaluation,A summary of the work done for the June 2021 FOSSEE Research Internship in R.
User: standardxnonconformist
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.