on April 14, 2022, and concluded it on October 27, 2022. One year after the Musk acquisition, active user engagement had declined 16% and the company disclosed it had lost about 55% of its value.īusiness magnate Elon Musk initiated an acquisition of American social media company Twitter, Inc. A series of reports called the Twitter Files were released, intended to shed light on content moderation, censorship, and government influence at the company prior to Musk's acquisition. Musk has been the subject of widespread criticism from those who believed content moderation should be continued. Musk reinstated a number of previously banned accounts, reduced the workforce by approximately 80%, closed one of Twitter's three data centers, largely eliminated the content moderation team and replaced it with a new feature called Community Notes, and instituted a plan that charged personal users $8 per month for a "verified" blue badge and $1,000 per month for an organizational gold badge. During that timespan, the company introduced a series of reforms and management changes. RETURN c1.char, c2.Elon Musk completed his acquisition of Twitter in October 2022 Musk acted as CEO of Twitter until he stepped down in June 2023 and was replaced by Linda Yaccarino. Or with the positions on the relationships, we can also generalize our statement from above. Globally we can either do a big union and sum them up as we did on the stream. RETURN c1.char, c2.char, count(*) as freq RETURN (split(w.name,'')) as letters, sum(size((c)(c2:Char) With this model we can also easy look at character frequencies and follow probabilities.įor the letter frequencies we just count the number of relationships pointing to a character node (aka the in-degree). Looking at that frequent suffix of er, we wanted to see what the letter frequencies look like. Then see how shared characters between two words (“diver” and “elder”) look like, here c are the shared letters and c1, c2 the other letters respectively. Select a Region close to you and give it a name, e.g. Go to to register or log into the service (you might need to verify your email address).Īfter clicking Create Database you can create a new Neo4j AuraDB Free instance. GitHub – jexp/wordle-graph: Wordle Solver as Neo4j graph databaseīut let’s create our database instance first, so that you can follow the modeling and import. You can find past live sessions and deep dive blog write-ups.Īll the Cypher statements and the source CSV can be found in this GitHub repository: That Wordle of the day was “elder”, which we got to in attempt 3, after someone from the stream hinting at it. If you missed our live-stream here is the recording, we had a lot of fun both playing the game but also exploring the graph version of it: NYDgXYINcq- Michael Hunger February 1, 2022 I'm probably late to the game now that #wordle has been sold to the you can make a graph of all words and characters and have #Neo4j Cypher solve it for you. So I thought one late night that it would be fun to represent the Wordle world as a graph. Our creative folks even created a Neo4j version of it, see if you can spot the mistake. The goal is to guess the word in 6 attempts, i.e. Correctly guessed letters in the right position appear green, wrong position yellow and incorrect letters gray. If you haven’t played Wordle, it is a guessing game similar to mastermind, only with (5-letter) English words (there are now many clones in other languages). I haven’t played it much myself just saw it popping up on my Twitter stream a lot. I know I’m late to the game as Wordle was sold to the New York Times last week.
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