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https://github.com/twintproject/twint-explorer
TWINT Graph Visualizer
https://github.com/twintproject/twint-explorer
data-visualization graph tweepy twint twitter-scraping
Last synced: about 2 months ago
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TWINT Graph Visualizer
- Host: GitHub
- URL: https://github.com/twintproject/twint-explorer
- Owner: twintproject
- License: mit
- Archived: true
- Created: 2018-06-12T03:25:24.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-23T22:22:15.000Z (almost 6 years ago)
- Last Synced: 2024-08-02T14:07:50.049Z (5 months ago)
- Topics: data-visualization, graph, tweepy, twint, twitter-scraping
- Language: HTML
- Size: 10.5 MB
- Stars: 75
- Watchers: 12
- Forks: 19
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Graph Visualization How-To
Under `Graph` directory there is the source code of the `Twint OSINT Explorer`, the compiled version will be provided.
## Install
#### Dependencies
- NodeJS
- `libsqlite3-dev libxss1 libx11-xcb-dev libxtst-dev libgconf-2-4 libnss3 libasound-dev`
### Debian/Ubuntu Based Systems
```
chmod +x install.sh
./install.sh
```
### Docker
```
xhost local:root
docker run --name twint -v /tmp/.X11-unix:/tmp/.X11-unix -v $(PWD)/data:/data/data -e DISPLAY=unix$DISPLAY --rm c0dy/twint-explorer
```
### Other
Steps:
1. `Install node-sqlite3` - I recommend to re-build by doing the following:
```
npm install electron-rebuild
./node_modules/.bin/electron-rebuild -w sqlite3 -p
```
or you can run
```
npm install sqlite3
```
2. `npm install` - In this directory
3. To start `Twint OSINT Explorer` just run `npm start .`
## Descrption
On the left side there are:
### Home
Does nothing (now as now).
### Dashboard
You will have to create a file `dashboard.txt` in that directory, that file will contain the url of the `iframe` object of the Kibana Dashboard... this does nothing more than using your browser to visualize the dashboard that you made in Kibana.
### Graph
You will **have to** have the database to visualize users in a pretty nice graph.
How to:
1. `Database file`: the name file of the database (e.g.: twint.db);
2. `Graph file`: **useless** (now as now);
3. Select the table: `Users`, `Followers` or `Following`;
4. `Condition` the value that you want to graph, in case of the Users table this will graph that specific user (you can use * to graph every user that you scraped, this might slow down), the same for Followers and Following tables... given a specific condition it will load users with that name (in case of users table), users that have the "condition-user" as follower (in case of followers table) and the same for following table;
5. `Load Settings`: this will prepare the connection between users, does not plot;
6. `Load Graph`: plots;
7. You can use `Raw Query` to execute raw queries (e.g.: `select column from table where.....`).
`Import Graph` and `Export Graph` are useless, I'm working on a way to achieve this.
**Attention here**: using * in condition might require a lot of time, I did the best to speed up, good luck.
## Run without compile
Just download the correct packaged version for your system, unzip, move to that directory with your terminal and run `./twint`. Place **in this same directory** your `.db` file!
There are releases ready-to-use as well.
## Dev
This feature and this Wiki is highly under development. The code and features might not be completed but everything works as expected and tested.