{"id":24529072,"url":"https://github.com/saezlab/network_tools","last_synced_at":"2026-05-12T19:13:03.296Z","repository":{"id":68993132,"uuid":"208044922","full_name":"saezlab/network_tools","owner":"saezlab","description":"Collection of Python functions to run network-based analysis in signed and directed networks.","archived":false,"fork":false,"pushed_at":"2020-04-06T18:40:54.000Z","size":160,"stargazers_count":1,"open_issues_count":0,"forks_count":3,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-22T07:37:39.908Z","etag":null,"topics":["igraph","networks","networks-biology","networkx","python3","r"],"latest_commit_sha":null,"homepage":"https://github.com/rosherbal/network_tools","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/saezlab.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-09-12T12:22:25.000Z","updated_at":"2024-02-11T23:57:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"bf78018a-82df-45a5-bf2f-8f5bb160b0e2","html_url":"https://github.com/saezlab/network_tools","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saezlab%2Fnetwork_tools","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saezlab%2Fnetwork_tools/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saezlab%2Fnetwork_tools/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saezlab%2Fnetwork_tools/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/saezlab","download_url":"https://codeload.github.com/saezlab/network_tools/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243769947,"owners_count":20345215,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["igraph","networks","networks-biology","networkx","python3","r"],"created_at":"2025-01-22T07:34:43.363Z","updated_at":"2026-05-12T19:13:03.238Z","avatar_url":"https://github.com/saezlab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"network_tools\n##########\n\nCollection of Python and R functions to run network-based analysis\nin signed and directed networks.\nFollow the jupyter notebook tutorial to see what you can do.\n\nAbout the code\n================================\n\nDeveloped on:\n\n- python 3.7.3 installed through ANACONDA [Clang 4.0.1 (tags/RELEASE_401/final)] in macOS Catalina version 10.15.1.\n\n**Packages (Version)**\n * pandas (1.0.1)\n * networkx (2.4.0)\n * numpy (1.18.1)\n\n\n- R 3.6.0 (2019-04-26) -- \"Planting of a Tree\" Platform: x86_64-apple-darwin15.6.0 (64-bit)\n\nNotes\n================================\n1. Weight and sign are collapse in the same value: weight.\nNegative weights indicate inhibition, while positive one are activations.\n\n2. We use directed graphs to calculate network and node-based measurements.\nThis type of graphs only allow ONE interaction between two nodes.\nAs the weight contains also de sign,\nif an interaction is repeated with opposite signs between 2 nodes\n(e.g. A -| B; A -\u003e B), only one weight can be kept.\nThus, the weight that is kept is the highest (keeping the sign).\n\nMeasurements\n================================\nThe function __get_measurments__ calculate the follow network's features:\n\n* Number of edges\n* Number of nodes\n* Density\n* Avg betweenness centrality\n* Avg degree centrality\n* Avg eigenvector centrality\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaezlab%2Fnetwork_tools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaezlab%2Fnetwork_tools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaezlab%2Fnetwork_tools/lists"}