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Volodymyr Miz

Volodymyr Miz. Technical Blog. Machine Learning Research. Large Scale Data Mining. Data visulalization.

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Wikipedia, COVID-19, and readers' interests across languages

To tell you the truth, I’d better be writing my PhD thesis right now. But the recent findings got me so excited that I cannot wait to share them. Anyways, the thesis can wait; hello darkness procrastination, my old friend. If you are only interested in the results, feel free to skip to 3. Results . 1. Introduction A few months before I started writing my thesis, the COVID-19 pandemic had unfolded.…

What's trending on Wikipedia?

There are as many opinions as there are people, they say. After a recent study we have done in LTS2 , I can paraphrase it. There are as many opinions as there are languages on Wikipedia. In our case though it was more about people’s interests rather than opinions. In a recent study, we found that interests of Wikipedia readers largely depend on the language in which they read Wikipedia . We…

Gephi tutorial. Publishing interactive graphs online

Ever wondered how to publish interactive graph visualizations online? This tutorial is for you then, the second one in the series of Gephi tutorials. If you want to learn more about layouts and attributes in Gephi, check out the first tutorial . As a result of this tutorial, you will create an interactive visualization that will look similar to this one . In this tutorial we will learn: How to…

Gephi tutorial. Layouts

Colleagues and students often ask me whether it is easy to create a nice graph visualization. My answer is always positive but such conversations often end up where they started for multiple reasons. First, it is hard to understand what people want to do with their visualization. Second, it is hard to summarize everything in one 3-5 minutes step by step explanation. Finally, even if we have…

Wikipedia Graph Dataset

Needless to say that Wikipedia is an invaluable source of free knowledge. In addition to that, Wikipedia weblogs data is a great resource for the research in many different fields such as collective behavior, data mining or network science. After all the projects and hours spent on wikipedia data, we got really tired of the data pre-processing. Even though Wikipedia data dumps are quite organized…

How to install Apache Spark on Ubuntu using Apache Bigtop

Has this ever happened to you? A new version of Spark is coming out and you want to try it out. To do that, you have to remove the previous version, download and extract a new one and hope that everything still works. Or, sometimes, you are just getting started with a Spark project and want the installation process to be seamless and easy. A one-liner command would be nice, wouldn’t it? Making…

Anomaly detection in the dynamics of Web and social networks

Imagine, you have a large network. Say, a social one. Every day, users of this network (aka nodes) generate massive amounts of likes, messages, and clicks (aka activity logs). Also, these users are connected through some links (aka edges), say, follow or befriend each other. There is nothing special about daily activity in this network. But, at some point, something unexpected happens in the…

Movie genres classification using character interaction networks

Social interactions are among the most important needs of everyday life. Whenever we communicate with relatives, colleagues, friends or acquaintances, we create invisible social links adding those people into our personal social network (here, I mean the real one, not 500+ Facebook friends and LinkedIn connections). Sometimes, we look at interactions in our networks and compare our lives to movies…

How are Web Networks similar to the brain?

Web networks resemble the brain if we think of web pages as neurons. Indeed, interconnections have complicated structure, while nodes produce time-series of activations (visits of web pages and spike-trains of neurons). A detailed and very exciting comparison available on ExplainThatStuff.com . Here, we focus on memory properties of the Web and show in what way it is similar to human memory.…

Wikipedia graph mining: dynamic structure of collective memory

This is the accompanying blogpost for our upcoming research paper (read preprint on arXiv ); joint work with Kirell Benzi , Benjamin Ricaud , and Pierre Vandergheynst ( EPFL , LTS2 ). Here, we focus on the results, omitting the details of the algorithm and the implementation. Intro Wikipedia is a great source for data analysis due to its outstanding scale and the graph structure. Tens of millions…