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Workshopping on social big data and adversarial publics
This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...-
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LORE
The recent years have witnessed the rise of accurate but obscure decision systems which hide the logic of their internal decision processes to the users. The lack of...-
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PassNet
Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the... -
Soccer teams ranking simulator
This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a... -
How to Use Visual Media Analysis for Social Media Research
How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis-
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Private Boilernet
Deploys an artificial neural network to remove the boilerplate from HTML files. Annotates the text content in the file or extracts the text from the HTML file. -
Private Distributed W2V
Accelerated training of Word Embeddings for large text corpora. Creates a word2vec-model from an input corpus of tokenized texts through the use of parallel distributed... -
Fast and scalable likelihood maximization for Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...-
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WBiCM
The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences. -
Egonetworks
This package contains classes and functions for the structural analysis of ego networks. An ego network is a simple model that represents a social network from the point of... -
Tail granger causality network construction
This method constructs a causality network by implementing Granger-causality tests for extreme events in multivariate time series. -
Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents... -
Maximum entropy network reconstruction
This method reconstructs a bipartite network by using the Maximum Entropy principle. This method is useful to assess aggregated and single bank's systemicness and vulnerability... -
Download mobility data with scikit-mobility
The data module of scikit-mobility provides users with an easy way to: 1) Download ready-to-use mobility data (e.g., trajectories, flows, spatial tessellations, and auxiliary... -
Private Ecology of the digital world of Wikipedia
Wikipedia, a paradigmatic example of online knowledge space is organized in a collaborative, bottom-up way with voluntary contributions, yet it maintains a level of reliability... -
Private Morningness–eveningness assessment from mobile phone communication analysis
Human behaviour follows a 24-h rhythm and is known to be governed by the individual chronotypes. Due to the widespread use of technology in our daily lives, it is possible to... -
Private Human-agent coordination in a group formation game
Coordination and cooperation between humans and autonomous agents in cooperative games raise interesting questions on human decision making and behaviour changes. Here we report... -
The Propagation of Misinformation in Social Media
There is growing awareness about how social media circulate extreme viewpoints and turn up the temperature of public debate. Posts that exhibit agitation garner... -
How to Make Meme Collections
How to guide to make meme collections by querying and extracting memes from four key sites: the meme database Know Your Meme, the web search engine Google Images, the meme...-
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