# Wikipedia graph mining: dynamic structure of collective memory - Host: [blog.miz.space](https://links.thingelstad.xyz/hosts/blog.miz.space/) - Saved: October 5, 2017 (2017-10-06T03:17:24Z) - Record: https://links.thingelstad.xyz/links/35bc65c7e6ad/ - JSON: https://links.thingelstad.xyz/links/35bc65c7e6ad.json ## What Jamie wrote In general I find the research that people can do on Wikipedia to be amazing and this article is no exception. This is worth looking at just for the great graphs. > We have managed to detect dynamical patterns in terms of events and collective memories in Wikipedia using the combination of the hyperlinks graph and the visitor activity on the website. There is a lot of focus on using machine learning and algorithms to filter news for events and those algorithms have been easily tricked and manipulated. I wonder if something closer to what researches have been doing with Wikipedia data may be a better solution to that problem. ## Facts - Kind: [Page](https://links.thingelstad.xyz/kinds/page/) ## Appears in - [WT22: Weekly Thing for October 7, 2017](https://weekly.thingelstad.com/archive/22/), Links 📌 ## Saved the same week - [The First Hour: Creating Powerful Mornings : zen habits](https://links.thingelstad.xyz/links/99ce12de267a/) (zenhabits.net, October 5, 2017) - [‘No Way To Prevent This,’ Says Only Nation Where This Regularly Happens - The Onion - America's Finest News Source](https://links.thingelstad.xyz/links/f5380c776f58/) (theonion.com, October 5, 2017) - [List: Things More Heavily Regulated Than Buying a Gun in the United States - McSweeney’s Internet Tendency](https://links.thingelstad.xyz/links/be6cb6f5d9f6/) (mcsweeneys.net, October 5, 2017) - [TECHdotMN Shivani Stumpf Named CTO At Hoonuit - TECHdotMN](https://links.thingelstad.xyz/links/306b18dcd6e1/) (tech.mn, October 5, 2017) - [Blockchain: The New Technology of Trust](https://links.thingelstad.xyz/links/210ea249b126/) (goldmansachs.com, October 5, 2017) ## Elsewhere - Wayback Machine: https://web.archive.org/web/*/http://blog.miz.space/research/2017/08/14/wikipedia-collective-memory-dynamic-graph-analysis-graphx-spark-scala-time-series-network/