Metadata-Version: 1.0
Name: face2face
Version: 0.1.Alpha
Summary: Library with basic social science functions
Home-page: https://github.com/gesiscss/face2face
Author: UNKNOWN
Author-email: UNKNOWN
License: UNKNOWN
Description: <img src='svg_data/pytest_passing.svg'><img src='svg_data/coverage.svg'>
        [![Binder](https://notebooks.gesis.org/binder/badge.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/face2face_public/master?filepath=tutorial)
        
        2020-07-06 11:20:19.132423
        2020-07-06 14:55:47.095103
        
        Face-2-face-interaction is a library that contains multiple methods for the basic analysis of sociopatterns data sets and networks.
        
        - **Website (including documentation):** 
        - **Website of Gesis**
        
        ## Installation
        
        You have multiple options for the installation on your local machine.
        
        If you want to become a contributor in this library and you want to apply changes or add new functions to the library you can take a look on the development guide from the website.
        
        If you just want to install the library on your system to work with it, you can do so with:
            
                $ pip install f2f-interaction
                
        or you can also the it from Anaconda by:
        
                $ conda install f2f-interaction
                
        ## Tutorials
        
        If you are new to this library and you want to learn about how to use the included methods or you want to learn how they work you can use the tutorials. For a short description of the different tutorials you can find more information in the tutorial README [Tutorial README](/tutorial/README.md). 
        
        [Here](/tutorial) you get to the tutorial folder.
        
        ## Short summary
        
        With the methods from the import module you can import your own tij- and metadata data sets or you can use predefined data sets which are included in the installed library. With the Data Object you created with your or the predefined datas sets you can directly start with the analysis of the probability for different contact durations and visualize them. You can also use the Object to create a network and analyze this network in terms of basic key figures about the underlying network. Furthermore you can use this library to analyze and visualize the homophily of the given data set. 
Platform: UNKNOWN
