The graph represents a network of 2,612 Twitter users whose recent tweets contained "#ddj OR (data journalism)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 8/1/2023 1:58:41 PM and 8/23/2023 1:58:41 PM. The network was obtained from Twitter on Wednesday, 23 August 2023 at 12:30 UTC.
The tweets in the network were tweeted over the 1866-day, 12-hour, 21-minute period from Saturday, 14 July 2018 at 02:09 UTC to Wednesday, 23 August 2023 at 14:30 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 2612
Unique Edges : 2678
Edges With Duplicates : 588
Total Edges : 3266
Number of Edge Types : 9
Retweet : 872
Tweet : 403
Replies to : 367
MentionsInReplyTo : 468
Mentions : 495
Quote : 124
MentionsInRetweet : 430
MentionsInQuote : 92
MentionsInQuoteReply : 15
Self-Loops : 565
Reciprocated Vertex Pair Ratio : 0.0206355757325629
Reciprocated Edge Ratio : 0.0404367165386171
Connected Components : 610
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 186
Maximum Edges in a Connected Component : 300
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.838946
Graph Density : 0.000362613586176519
Modularity : 0.794254
NodeXL Version : 1.0.1.520
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292285
Data Import : The graph represents a network of 2,612 Twitter users whose recent tweets contained "#ddj OR (data journalism)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 8/1/2023 1:58:41 PM and 8/23/2023 1:58:41 PM. The network was obtained from Twitter on Wednesday, 23 August 2023 at 12:30 UTC.
The tweets in the network were tweeted over the 1866-day, 12-hour, 21-minute period from Saturday, 14 July 2018 at 02:09 UTC to Wednesday, 23 August 2023 at 14:30 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : #ddj OR (data journalism)
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[440] data,journalism [120] journalism,charts [120] maps,interactive [120] best,economist [120] economist,data [120] charts,maps [120] interactive,features [120] check,best [117] theeconomist,check [81] data,protection Top Word Pairs in Tweet in G1:
[59] data,journalism [9] investigative,journalism [7] journalism,data [6] #klimawandel,#klimakrise [6] pros,cons [6] whatever,automated [6] #klimakrise,#ipcc [6] #ddj,#klimawandel [5] data,reporting [5] data,science Top Word Pairs in Tweet in G2:
[120] data,journalism [119] check,best [119] economist,data [119] maps,interactive [119] charts,maps [119] journalism,charts [119] interactive,features [119] best,economist [117] theeconomist,check Top Word Pairs in Tweet in G3:
[6] data,journalism [3] make,data [3] countries,reported [3] team,marshallproj [3] climate,journalism [2] visualisation,lists [2] sighted,people [2] series,fix [2] list,visualisation [2] partially,sighted Top Word Pairs in Tweet in G4:
[66] bbc,scotland's [66] scotland's,top [66] hard,data [66] top,story [65] drip,particularly [65] data,basis [65] drip,drip [65] basis,bbc [65] letters,drip [65] particularly,hard Top Word Pairs in Tweet in G5:
[62] protection,bill [62] disguise,data [62] censorship,tool [62] bill,hurt [62] force,journalists [62] journalists,reveal [62] data,protection [62] hurt,journalism [62] tool,disguise [62] bill,force Top Word Pairs in Tweet in G6:
[42] data,journalism [21] #aws,#github [19] weather,data [19] register,today [19] data,editor [18] data,automation [18] nytimes,weather [18] automate,data [17] journalism,course [15] #journalismcourses,#datavisualization Top Word Pairs in Tweet in G7:
[51] such,statement [51] data,warrant [51] warrant,such [51] change,without [51] climate,change [51] scientific,data [51] hilary,labelled [51] evidence,scientific [51] without,evidence [51] labelled,climate Top Word Pairs in Tweet in G10:
[30] vs,quartiers [30] urbains,végétalisés [30] surexposés,aux [30] riches,vs [30] végétalisés,monopolisés [30] monopolisés,par [30] quartiers,surexposés [30] chaleurs,extrêmes [30] plus,riches [30] aux,chaleurs Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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