Metadata-Version: 2.1
Name: colocationship
Version: 0.0.2
Summary: A light package for build and analyse co-locationship
Home-page: https://github.com/Magica-Chen/co-locationship
Author: Zexun Chen
Author-email: sxtpy2010@gmail.com
License: UNKNOWN
Description: # co-locationship
        
        Leveraging information transfer in social and co-location networks to improve predictability in human mobility
        
        The code was tested on Python 3.6.
        
        ## Install (via pypi version)
        
        ```
        pip install colocationship
        ```
        
        ## Install (via GitHub)
        
        ```
        git clone https://github.com/Magica-Chen/co-locationship.git
        
        cd co-locationship
        ```
        
        The dependencies package are shown in `requirements.txt`, also, you can run 
        
        ```
        pip install -r requirements.txt
        ```
        
        After installing all dependencies clone the repository and do (inside the top directory):
        
        ```
        pip install . 
        ```
        
        This will install a copy of the code as a package. If you want to install a package that links to the cloned code, run
        
        ```
        pip install --editable .
        ```
        
        This makes changes to the source files in the cloned directory immediately available to everything that imports the package.
        
        Or you can use `pip` directly (currently this package only publishes in `Testpypi`), 
        
        ```
        pip install -i https://test.pypi.org/simple/ colocationship==0.0.1
        ```
        
        After installation, anywhere on the system you can then import the package:
        
        ```python
        import colocationship as cl
        ```
        
        ## Dataset
        
        All processed datasets (Weeplaces, BrightKite, Gowalla) we used in this repo can be found in [Google Drive](https://drive.google.com/drive/folders/1C71Atf4x7eTAEazAPehih5_zkBqqfX4M?usp=sharing).
        
        ## Usage
        
        The example please refers to `example/example_weeplaces.ipynb`.
        
        ## Contributing
        
        PRs accepted.
        
        ## License
        
        MIT © Zexun Chen
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
