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Dashboard view, on the left, a map to see the geolocalization tweets in realtime. On the middle the faces analysed by the server backend.
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Dashboard view, on the left, a map to see the geolocalization tweets in realtime. On the middle the faces analysed by the server backend.
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Network map viewer in realtime, when new tweets are created on twitter, are added in this network map in realtime
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Network map viewer in realtime, when new tweets are created on twitter, are added in this network map in realtime
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Network map viewer in realtime, when new tweets are created on twitter, are added in this network map in realtime
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map in realtime with all the tweets created with geolocation activated
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detail of network nodes map view
Inspiration
We want to make some software to prototype and show the potential and dangerous of using internet in a narcissist and exhibitionist way. We focused on the twitter generated data.
- what is a panopticon? https://en.wikipedia.org/wiki/Panopticon
- what is NSA? https://en.wikipedia.org/wiki/National_Security_Agency
What it does
Is a server backend, that is getting all the tweets containing a concrete set of words, in real time. And saves the tweets to a MongoDB database, and sents to a frontend client (with socketio). The server, gets:
- the tweets containing images, the server analyzes the images, and gets the faces from the people. We store all the faces from each person that is on a tweet related to the words we are tracking
- also, the server can act as a twitter bot, and replies the tweet of the people, saying thanks for their faces, and with an image of them faces marked inside a square.
- for each tweet, analyses the sentiment, so the tweet gets a punctuation value in function its positive or negative sentiment --> that's to know the average opinion on a concrete topic
- all tweets with geolocation activated, and the frontend paints over a map in realtime the new tweets
- in the frontend, can view the tweets map, the faces of the images, and a node network map to analyse the relations between users and tweets sent.
How we built it
Backend server:
- opencv: for images analysis and faces manipulation and extraction.
- nodejs: the backend is written in nodejs
- mongodb: database where we store all the data
- sentiment: npm package to analyse sentiment of a string, in our case of a tweet
- twitter api: to get the data, and post the replies of the bot
- socketio: to comunicate in realtime with the frontend client.
frontend:
- angularjs: the logic
- socketio: realtime communication with th server
- visjs: for the nodes network map
- google maps
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