{"id":19006401,"url":"https://github.com/anty-filidor/network_diffusion_examples","last_synced_at":"2026-04-22T01:30:19.212Z","repository":{"id":42187703,"uuid":"330504683","full_name":"anty-filidor/network_diffusion_examples","owner":"anty-filidor","description":"Experimental repo for paper: 10.1109/DSAA54385.2022.10032425","archived":false,"fork":false,"pushed_at":"2022-04-11T14:39:52.000Z","size":681,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-01T19:44:38.908Z","etag":null,"topics":["covid-19","influence-maximization","interacting-phenomena","multilayer-networks","network-science"],"latest_commit_sha":null,"homepage":"","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/anty-filidor.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-01-17T23:05:52.000Z","updated_at":"2024-05-24T11:30:09.000Z","dependencies_parsed_at":"2022-08-12T08:50:57.622Z","dependency_job_id":null,"html_url":"https://github.com/anty-filidor/network_diffusion_examples","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anty-filidor%2Fnetwork_diffusion_examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anty-filidor%2Fnetwork_diffusion_examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anty-filidor%2Fnetwork_diffusion_examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anty-filidor%2Fnetwork_diffusion_examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anty-filidor","download_url":"https://codeload.github.com/anty-filidor/network_diffusion_examples/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240028469,"owners_count":19736412,"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":["covid-19","influence-maximization","interacting-phenomena","multilayer-networks","network-science"],"created_at":"2024-11-08T18:32:12.959Z","updated_at":"2026-04-22T01:30:19.165Z","avatar_url":"https://github.com/anty-filidor.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Network diffusion examples\n\nChosen examples for network_diffusion package\n\n## How to use\n\nThis code can be executed using CodeOcean capsule (step 1a), that suppress \nrequirement of the runtime environment preparation from the user. Otherwise, \nthe configuration of the workspace configuration will be essential (step 1b). \n\n### Step 1. option A\nNavigate to this [page](https://codeocean.com/capsule/8807709)\n\n### Step 1. option B\nCreate new python environment using `requirements.txt` file:  \n```\nconda create --name nd_examples python=3.7\nconda activate nd_examples\npip install -r requirements.txt\n```\nCreate new ipython kernel from environment created above:  \n```\npip install ipykernel\nipython kernel install --user --name=nd_examples\n```\nModify the `output_dir` variable in the `config.ini` file in order to point to\nthe accessible directory.\n\n### Step 2.\nRun one of following files in order to see results of experiments:\n  - `epidemic.py` (example of epidemic propagation with auxiliary processes:\n    vaccinations and awareness),\n  - `market_competition.ipynb` (marketing campaign of two competitive products\n    ),\n  - `gossip.ipynb` (example of gossip spreading on two different social \n    networks),\n  - `efficiency_tests/tests.ipynb` (comparison of the network_diffusion \n    time-efficiency)\n\n## Remarks\n\nPlease note that networks available in this directory have a source\n[here](http://multilayer.it.uu.se/datasets.html).\n\nThis code is published under GNU General Public License v3 (see `LICENSE` file).\nAuthors: Michał Czuba, Piotr Bródka\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanty-filidor%2Fnetwork_diffusion_examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanty-filidor%2Fnetwork_diffusion_examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanty-filidor%2Fnetwork_diffusion_examples/lists"}