Document Analysis NLP IA
FREQ, RAKE or TFIDF
Summary (IA Generated)
Today I want to take a break from SEO to talk about sports – specifically hockey – in terms of SEO concepts.
Measuring Sports Using SEO Techniques.
These days, all the cool SEO tools like Screaming Frog and Sitebulb include features they call a crawl map.
They’re actually a pretty cool diagnostic tool you can use for finding all kinds of SEO issues.
Anyway, we were doing some cool work with force-directed graphs at work the other day and it got me thinking of an old experiment I ran last year.
Historically, PageRank has been really, really good at measuring the authority of webpages.
What about using regular season sports data to see if we can find the most authoritative team in the NHL?.
Wins and losses can be skewed because some team gets lucky and plays my hometown Detroit Red Wings several times per season while other teams only got to play them once.
Looking at the Quality of Wins.
If we have a crawl map, we should be able to calculate PageRank.
Several of us old school SEO professionals have been creating these crawl maps manually for years.
The best part about Gephi is that once you have your graph implemented you can run PageRank with the click of a button.
I first started looking at sports victories as directed graphs a couple of years ago.
(Actually, eigenvectors and harmonic centrality models worked better than PageRank.
I took every 2018 NCAA D1 football game and turned it into a directed graph where every team ‘pointed’ to the teams that beat them.
— Ryan Jones (@RyanJones) January 31, 2019.
Well, last year PageRank successfully predicted that the St.
Louis Blues would win the Stanley Cup.
THREAD: Got bored this weekend so I ran the PageRank algorithm over every NHL game this season.
— Ryan Jones (@RyanJones) April 22, 2019.
If you check out the above thread it shows that STL, PIT, and BOS were the best 3 teams according to PageRank, and it just so happens that STL beat BOS for the Stanley Cup.
Calculating the PageRank of NHL Regular Season Data.
Below is the force-directed graph of every NHL game represented like such:.
Every team links to all the teams that beat them.
Side note: It’s amazing how many teams are red/blue.