Spreading Processes on Networks

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lueckem from gravatar.com lueckem

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License Expression: GPL-3.0-or-later
    SPDX License Expression
  • Author: Marvin Lücke
  • Tags voter model , threshold model , social dynamics , opinion dynamics , statistical physics , agent-based model , epidemiology , interacting particle system
  • Requires: Python <3.15, >=3.10
Classifiers
Report project as malware

Project description

Spreading Processes on Networks (SPoNet)

build

This package provides an efficient implementation of popular discrete-state spreading processes on networks of interacting agents. They can be used to simulate how opinions about certain issues develop over time within a population, or how an infectious disease spreads. The simulation loop is just-in-time compiled using numba, which makes performance comparable with compiled languages like C++.

Installation

The package requires a Python version between 3.10 and 3.14. Install from the PyPI repository:

pip install sponet

or get the latest version directly from GitHub:

pip install git+https://github.com/lueckem/SPoNet

Documentation

The documenation can be found at lueckem.github.io/SPoNet.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lueckem from gravatar.com lueckem

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License Expression: GPL-3.0-or-later
    SPDX License Expression
  • Author: Marvin Lücke
  • Tags voter model , threshold model , social dynamics , opinion dynamics , statistical physics , agent-based model , epidemiology , interacting particle system
  • Requires: Python <3.15, >=3.10
Classifiers

Release history Release notifications | RSS feed

This version

3.0.0

2.8.0

2.7.1

2.7.0

2.6.3

2.6.2

2.6.1

2.6.0

2.5.1

2.5.0

2.4.0

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.0

2.1.0

2.0.0

1.4.2

1.4.1

1.4.0

1.3.0

1.2.0

1.1.0

1.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sponet-3.0.0.tar.gz (40.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sponet-3.0.0-py3-none-any.whl (51.5 kB view details)

Uploaded Python 3

File details

Details for the file sponet-3.0.0.tar.gz.

File metadata

  • Download URL: sponet-3.0.0.tar.gz
  • Upload date:
  • Size: 40.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.13.1 Linux/6.14.0-1017-azure

File hashes

Hashes for sponet-3.0.0.tar.gz
Algorithm Hash digest
SHA256 220d4328312962a70b623d77dd0feab0129187ef4eeada1f0a3ff3ee78916655
MD5 b26b8664f7ef90611d2c8fc2cea38f52
BLAKE2b-256 76ebd7e0d94f180abd68d2f764e594db325be767489d65bda7615a3365e2fd1f

See more details on using hashes here.

File details

Details for the file sponet-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: sponet-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 51.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.13.1 Linux/6.14.0-1017-azure

File hashes

Hashes for sponet-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ce63e26caf54b84b2e00a69a143f26be5990883e45077420530c82f48b15e201
MD5 2dcbda1705aee698ec3a7512cc3c8a53
BLAKE2b-256 9ed2db1daf9ab5c2f0a01467fbfb78ba91f98b9488fd5277177b3cec2993bc24

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page