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Oracle Drags Its Feet in the JavaScript Trademark Dispute
Oracle seeks to dismiss fraud claims in the JavaScript trademark dispute, delaying the case and avoiding questions about its right to the name.
Community Detector based on algorithm for community detection using structural and attribute similarities
community-detect
Community detection using attribute and structural similarities.
Installation:
pip install community_detect
Dependencies:
NetworkX
Matplotlib
Usage:
Import:
from community_detect import Community
Initialize:
com = Community(alpha_weight = 0.5) #You can add your own value for Alpha
Functions:
Main method: get_communities(Graph, #Your Graph
Vertices, #List of Vertices
Similarity Matrix, #Similarity matrix for attribute similarities (It should be a N X N matrix where N is the number of vertices
Similarity Matrix Type #Types : cosine, euclidean etc
)
Returns a dictionary with each key containing all the nodes in that community
To View Communities : view_communities(Communities, #Output of above function
Graph, #Your Graph
Vertices, #List of Vertices
Similarity Matrix, #Similarity matrix for attribute similarities (It should be a N X N matrix where N is the number of vertices
Similarity Matrix Type #Types : cosine, euclidean etc
)
FAQs
Community Detector based on algorithm for community detection using structural and attribute similarities
We found that community_detect demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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