{"id":20162692,"url":"https://github.com/airscholar/alphateam","last_synced_at":"2025-08-14T11:31:41.910Z","repository":{"id":160234519,"uuid":"607228469","full_name":"airscholar/AlphaTeam","owner":"airscholar","description":"Complex Network Analysis Using Machine Learning","archived":false,"fork":false,"pushed_at":"2024-05-07T06:20:05.000Z","size":211794,"stargazers_count":6,"open_issues_count":0,"forks_count":7,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-13T14:19:36.879Z","etag":null,"topics":["complex-networks","deep-learning","gnn","graph-theory","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/airscholar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2023-02-27T15:20:55.000Z","updated_at":"2024-11-20T06:52:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"b5d3feb0-ec3f-4571-b8d1-3db138383bcb","html_url":"https://github.com/airscholar/AlphaTeam","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/airscholar%2FAlphaTeam","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/airscholar%2FAlphaTeam/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/airscholar%2FAlphaTeam/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/airscholar%2FAlphaTeam/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/airscholar","download_url":"https://codeload.github.com/airscholar/AlphaTeam/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241600518,"owners_count":19988715,"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":["complex-networks","deep-learning","gnn","graph-theory","machine-learning"],"created_at":"2024-11-14T00:26:30.089Z","updated_at":"2025-03-03T03:10:04.889Z","avatar_url":"https://github.com/airscholar.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Alpha Team App\n\nThis is the repository for the Alpha Team App.\nThe application is a web application that allows users to visualise and analyse complex networks.\nThe application is built using Flask.\n\n# System Architecture\n![System Architecture](docs/images/System_architecture.png)\n\n# Scientific Paper\n\nRead our scientific paper [here](Democratising_Complex_Network_Analysis.pdf).\n\n## Running the application locally\n\n1. Clone the repository\n2. Navigate to the backend directory and run\n    - `export FLASK_APP=app.py` for Linux/Mac or `set FLASK_APP=app.py` for Windows\n3. Run `flask run --host=0.0.0.0 --port=8000` to start the backend server\n4. Open another terminal and navigate to the application directory\n5. Run `flask run --host=0.0.0.0 --port={chosen port}` to start the frontend server\n6. Open your browser and go to `http://127.0.0.1:{chosen port}`\n\n# Docker Setup\n\nInstall Docker and Docker Compose on your machine. You can find the\ninstructions [here](https://docs.docker.com/install/).\n\n## Running the application using Docker\n\n1. Clone the repository\n2. Run `docker build -t alphateamapp .` in the root directory of the project to build the Docker image\n3. Run `docker run -d -p 8000:8000 -p 3000:3000 --name alphateam alphateamapp` to start the application\n4. Open your browser and go to `http://127.0.0.1:3000`\n5. Enjoy!\n6. (Optional) Run `docker logs -f alphateam` to see the logs of the container\n\n### Alternatively\nYou can run `docker pull airscholar/alphateamapp` to pull already built image and then run the container using\nthe command in step 3 above.\n\n# Documentation\n\nYou can view the documentation in the `docs/` directory. The documentation is generated using Sphinx.\n\n### To regenerate the documentation\nIn the root directory of the project, run `sh generate_docs.sh` to regenerate the documentation.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fairscholar%2Falphateam","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fairscholar%2Falphateam","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fairscholar%2Falphateam/lists"}