Johan Pouwelse

Results 821 comments of Johan Pouwelse

Please avoid double work! Keep an eye on the progress of other teams and feel free to grab commits of others. The only rule is: document on your issue that...

### Final Examination procedure Week 10 of this course is dedicated to the final examination. Coming week you will be scheduled into the available slots. _Mandatory attendance_. Slots are available...

Running code results 🎉 🦄 🎉 The table below shows the students teams which produced running code for standard Android 15, Pixel 8 hardware. Required for final examination, pre-approved before...

@drew2a Just a small reminder. Please setup a seedbox for a Tribler channel with lots of Creative Commons music. (e.g. different then superapp; overlap). Simple static dump. For demo purposes...

General research description: This project will address the problem of trust. Using an experimental-driven approach with real-world datasets and Internet-deployment we aim to significant advance our methods to build trust....

2005 work: [Incremental page rank computation on evolving graphs](http://dl.acm.org/citation.cfm?id=1062885) [Python graph code](http://www.python-course.eu/graphs_python.php) Why trust and incremental pagerank: - [Reputation and Feedback Systems in Online Platform Markets](http://faculty.haas.berkeley.edu/stadelis/Annual_Review_Tadelis.pdf) - [Peer-to-Peer markets](https://web.stanford.edu/~leinav/pubs/AR2016.pdf) -...

First code: https://github.com/Peiteng/Incremental-Pagerank ! ![first_graph_incremental_pagerank](https://cloud.githubusercontent.com/assets/325224/24399699/dfa27cac-13ad-11e7-97bf-77f31c99aedf.png) ToDo next meeting: - generate 1 random graph - change the network 5%, 10%, 25%, 50% etc. - calculate your incremental pagerank - how accurate...

Possible solo "blockchain Engineering" course. ToDo: take trustchain dataset, copy algorithms from state-of-the-art, possible enhance, implement Python code, math beautiful equations on probability & stochastic. @alexander-stannat [We establish a surprising...

First sprint: - [ ] get dataset @jangerritharms - [ ] [understand the initial code by Martijn of PageRank](https://github.com/Tribler/tribler/pull/3282/files#diff-387c813776d13167bd3a6118bbce82cb) possibly called every 10min. - [ ] build the most simple...

We [proposed the _EscapeLimit algorithm_ in the past](https://dl.acm.org/citation.cfm?id=2695868), there are multiple random walks: - simple random walk - weighted random walk - [Metropolis-Hastings random walk](https://www.jstor.org/stable/2334940?seq=1#metadata_info_tab_contents) - Maximal Entropy random walk