The graph represents a network of 18,741 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 1/1/2022 12:00:00 AM and 11/28/2022 10:03:21 AM. The network was obtained from Twitter on Monday, 28 November 2022 at 18:18 UTC.
The tweets in the network were tweeted over the 4993-day, 23-hour, 7-minute period from Friday, 27 March 2009 at 18:55 UTC to Monday, 28 November 2022 at 18:03 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 : 18741
Unique Edges : 13520
Edges With Duplicates : 37465
Total Edges : 50985
Number of Edge Types : 9
Retweet : 13993
MentionsInRetweet : 21601
Replies to : 2753
MentionsInReplyTo : 4890
Mentions : 3733
Tweet : 2825
Quote : 619
MentionsInQuote : 468
MentionsInQuoteReply : 103
Self-Loops : 4494
Reciprocated Vertex Pair Ratio : 0.0357237164736505
Reciprocated Edge Ratio : 0.0689831002331002
Connected Components : 1804
Single-Vertex Connected Components : 586
Maximum Vertices in a Connected Component : 13222
Maximum Edges in a Connected Component : 40453
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.643419
Graph Density : 7.81762652690154E-05
Modularity : 0.512088
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 18,741 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 1/1/2022 12:00:00 AM and 11/28/2022 10:03:21 AM. The network was obtained from Twitter on Monday, 28 November 2022 at 18:18 UTC.
The tweets in the network were tweeted over the 4993-day, 23-hour, 7-minute period from Friday, 27 March 2009 at 18:55 UTC to Monday, 28 November 2022 at 18:03 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 : TwitterSearch2
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3875] data,journalism [830] researched,intelligent [830] same,journalist [830] intelligent,journalism [830] charmingly,same [830] aggressive,researched [830] journalism,delivered [830] delivered,calmly [830] calmly,charmingly [829] johnboweactor,aggressive Top Word Pairs in Tweet in G1:
[1555] data,journalism [218] top,10 [165] journalism,masterclass [162] call,applications [149] masterclass,2022 [148] journalism,top [142] 2022,open [139] investigative,journalism [137] data,driven [113] rcdij,data Top Word Pairs in Tweet in G2:
[816] intelligent,journalism [816] delivered,calmly [816] journalism,delivered [816] same,journalist [816] calmly,charmingly [816] aggressive,researched [816] researched,intelligent [816] charmingly,same [815] johnboweactor,aggressive [20] really,poor Top Word Pairs in Tweet in G3:
[617] hundeyin's,brand [617] rely,david [617] brand,journalism [617] david,hundeyin's [617] safe,nigerians [617] nigerians,rely [617] journalism,probably [617] probably,unbiased [616] sirdavidbent,safe [616] unbiased,wel Top Word Pairs in Tweet in G4:
[216] data,journalism [60] raw,story [60] independent,journalism [60] years,independent [60] celebrating,18 [60] 18,years [60] story,celebrating [31] african,journalists [31] journalism,masterclass [31] train,african Top Word Pairs in Tweet in G5:
[341] foi,request [341] along,stellar [341] played,along [341] journalism,took [341] easy,bc [341] knew,adriandix [341] stellar,journalism [341] lied,right [341] adriandix,played [341] took,foi Top Word Pairs in Tweet in G6:
[101] data,journalism [71] schlecht,laut [71] gibt's,genug [71] grünflächen,haustür [71] kiezen,gibt's [71] luftqualität,schlecht [71] genug,grünflächen [71] #berliner,kiezen [71] haustür,die [71] die,luftqualität Top Word Pairs in Tweet in G7:
[29] citizen,journalism [28] data,journalism [25] data,reporting [17] open,sourcing [16] open,journalism [16] sourcing,news [15] showing,work [15] elonmusk,open [15] news,showing [15] journalism,open Top Word Pairs in Tweet in G8:
[472] doing,incredible [472] incredible,citizen [472] amazing,investigative [472] journalism,capitolhunters [472] jennycohn1,group [472] group,doing [472] citizen,journalism [472] investigative,reporting [472] reporting,jennycohn1 [471] stephenjamesus,amazing Top Word Pairs in Tweet in G9:
[215] justice,journalism [213] scotthech,justice [208] far,sensational [208] based,far [208] sensational,possible [208] possible,newsday [208] fact,based [208] journalism,fact [208] data,based [208] based,data Top Word Pairs in Tweet in G10:
[184] bivalent,increase [184] see,pfizer [184] increase,bivalent [184] bad,see [184] cnn,bad [184] divided,increase [184] pfizer,divided [183] vprasadmdmph,cnn [52] ratio,wonder [52] 54,titers Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: