https://github.com/PierreEtienneJ/twitter-graph-auto-report

A python script to write a report automatically in docx for a twitter-graph
https://github.com/PierreEtienneJ/twitter-graph-auto-report

Last synced: 3 months ago
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A python script to write a report automatically in docx for a twitter-graph

• Host: GitHub
• URL: https://github.com/PierreEtienneJ/twitter-graph-auto-report
• Owner: PierreEtienneJ
• Created: 2022-02-11T08:59:17.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-04-14T13:26:01.000Z (over 2 years ago)
• Last Synced: 2024-05-29T23:20:00.863Z (6 months ago)
• Language: Python
• Size: 587 KB
• Stars: 12
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# twitter-graph : auto-report

| WARNING: This repo is under test ! |

| --- |

The main objective is to write an automatic report to facilitate the analysis of a twitter graph.

| Twitter-graph : To know how to make a twitter-graph, look [eleurent's repo](https://github.com/eleurent/twitter-graph): |

| --- |

## Installation

**Testing with python3.8**

Need pip packages:

| pip packages | tested version |

| --- | --- |

| python-docx | 0.8.11 |

| numpy | 1.19.5 |

| pandas | 0.25.3 |

| igraph | 0.9.9 |

| textdistance | 4.2.2 |

| matplotlib | 3.4.2 |

Install requirements with  :

> pip3 install -r requirements.txt

## How to use

```python

from autoReport import *

autoReport("nodes.csv", "edges.csv", 

            {2339:"magenta", 

            2433:"limegreen",

            2566:"deepskyblue",

            1052:"saddlebrown",

            2498:"darkorange",

            1583:"red"}, 

           {"name":"Antoine Bondaz", 

           "at":"@AntoineBondaz",

            "description":"""Foodie - 🕵🏼‍Research @FRS_org - 👨🏼‍🏫 Teach @SciencesPo - 🇨🇳🇹🇼🇰🇷🇰🇵's foreign & security policies - Ph.D."""},

            rank_col_name="pageranks",

            class_col_name="modularity_class",

        ).makeReport("out.docx",

                      per_edeges=1,

                      show_internal_link=False)

```

Creates a report _out.docx_ for Antoine Bondaz, with 6 class. nodes.csv have two columns : one with the rank of the nodes (default **pageranks**) and one with class (default **modularity_class**). If columns have special name, specify the argument class_col_name for class columns name and rank_col_name for rank column name in the construct.

### Advice

    - If your graph comes from the tweets search, you can add the tweets.json file with the tweets_path parameter (on the constructor) to have more graphics.

    - To test quickly, you can add the per_edeges=0.1 parameter (to the makeReport method) to test the link graph with 10% of edges. Important to verify the correct installation of igraph

If the size of the nodes is calculated with In-Degree and In-Degree is not in the columns of the csv nodes, you can specify `InDegree` for the `rank_col_name` parameter, it will calculate it.

## The report

The report is divided into 2 parts: the first one looks at the whole graph, the second one at each class.

### Introduction

#### Class distribution

![Class distribution](example/[email protected])

#### Links between class

![Links between class](example/[email protected])

#### Most common words

![Most common words](example/[email protected])

#### Similarity of descriptions

![Similarity of descriptions](example/[email protected])

## Class analysis

### Class magenta ( 20.9%)

#### Most 10 common words

![Class magenta Most 10 common words](example/[email protected])