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        "author": "Ankush Bhatia",
        "author_email": "ankushbhatia02@gmail.com",
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        "description": "community-detect\r\n\r\nCommunity detection using attribute and structural similarities.\r\n\r\nInstallation:\r\n\r\npip install community_detect\r\n\r\nDependencies:\r\n\r\nNetworkX\r\n\r\nMatplotlib\r\n\r\nUsage:\r\n\r\nImport:\r\n\r\nfrom community_detect import Community\r\n\r\nInitialize:\r\n\r\ncom = Community(alpha_weight = 0.5) #You can add your own value for Alpha\r\n\r\nFunctions:\r\n\r\nMain method: get_communities(Graph, #Your Graph\r\n\r\n                         Vertices, #List of Vertices\r\n\r\n                         Similarity Matrix, #Similarity matrix for attribute similarities (It should be a N X N matrix where N is the number of vertices\r\n\r\n                         Similarity Matrix Type #Types : cosine, euclidean etc\r\n\r\n                         )\r\n\r\n        Returns a dictionary with each key containing all the nodes in that community\r\nTo View Communities : view_communities(Communities, #Output of above function\r\n\r\n                                   Graph, #Your Graph\r\n\r\n                                   Vertices, #List of Vertices\r\n\r\n                                   Similarity Matrix, #Similarity matrix for attribute similarities (It should be a N X N matrix where N is the number of vertices\r\n\r\n                                   Similarity Matrix Type #Types : cosine, euclidean etc\r\n\r\n                                   )",
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        "keywords": "Graph Clustering, Community detection",
        "license": "Apache License 2.0",
        "maintainer": "Ankush Bhatia",
        "maintainer_email": "ankushbhatia02@gmail.com",
        "name": "community_detect",
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        "summary": "Community Detector based on algorithm for community detection using structural and attribute similarities",
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