The graph represents a network of 23,119 Twitter users whose recent tweets contained "@AFP", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 50,000 tweets, tweeted between 11/23/2022 12:00:00 AM and 12/22/2022 12:18:47 PM. The network was obtained from Twitter on Thursday, 22 December 2022 at 22:19 UTC.
The tweets in the network were tweeted over the 3194-day, 22-hour, 6-minute period from Monday, 24 March 2014 at 22:12 UTC to Thursday, 22 December 2022 at 20:18 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 : 23119
Unique Edges : 29903
Edges With Duplicates : 210179
Total Edges : 240082
Number of Edge Types : 9
Retweet : 37660
MentionsInRetweet : 79133
MentionsInReplyTo : 60947
Replies to : 9281
Mentions : 18551
MentionsInQuote : 25681
MentionsInQuoteReply : 4187
Quote : 2565
Tweet : 2077
Self-Loops : 4553
Reciprocated Vertex Pair Ratio : 0.0119855701980417
Reciprocated Edge Ratio : 0.0236872353737142
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 23119
Maximum Edges in a Connected Component : 240082
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.847118
Graph Density : 0.000128594004469987
Modularity : 0.222294
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 23,119 Twitter users whose recent tweets contained "@AFP", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 50,000 tweets, tweeted between 11/23/2022 12:00:00 AM and 12/22/2022 12:18:47 PM. The network was obtained from Twitter on Thursday, 22 December 2022 at 22:19 UTC.
The tweets in the network were tweeted over the 3194-day, 22-hour, 6-minute period from Monday, 24 March 2014 at 22:12 UTC to Thursday, 22 December 2022 at 20:18 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 : @AFP
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:
[7150] afp,#breaking [4860] bbc,afp [4832] infuriated,enough [4832] josepborrellf,infuriated [4831] talk,#tigray [4831] #tigray,bbc [4691] enough,people [4688] people,talk [3610] afp,#update [3523] afp,france24_en Top Word Pairs in Tweet in G1:
[7030] afp,#breaking [3543] afp,#update [1007] world,cup [874] elon,musk [667] #breaking,eu [663] afp,video [545] eu,warns [544] journalists,booted [544] warns,musk [544] 'sanctions',journalists Top Word Pairs in Tweet in G2:
[2241] cnn,reuters [2089] reuters,afp [2066] guardian,dwnews [2003] afp,nytimes [1960] nytimes,guardian [1535] risk,imminent [1480] grave,danger [1444] #mohammadmehdikarami,grave [1368] danger,risk [1251] imminent,execution Top Word Pairs in Tweet in G3:
[140] afp,afpfr [132] lemondefr,washingtonpost [127] washingtonpost,afp [126] afpfr,stephbatespress [123] stephbatespress,patriciajaniot [122] patriciajaniot,saludhernandezm [120] saludhernandezm,cgurisattintn24 [119] cgurisattintn24,dw [117] teleantioquia,canaltelecaribe [117] dw,ap Top Word Pairs in Tweet in G4:
[4843] bbc,afp [4817] josepborrellf,infuriated [4817] infuriated,enough [4816] talk,#tigray [4816] #tigray,bbc [4673] enough,people [4673] people,talk [3453] afp,france24_en [720] children,tigray [676] afp,france24 Top Word Pairs in Tweet in G5:
[838] ethnic,cleansing [828] prosperity,party [810] more,ethnic [810] ola,commit [810] commit,more [810] cleansing,#amharagenocide [810] arming,ola [810] party,arming [810] #amharagenocide,against [805] oromo,prosperity Top Word Pairs in Tweet in G6:
[37] #breaking,#india [28] ap,reuters [24] ashwiniupadhyay,pbhushan1 [21] nypost,nydailynews [21] ddnewslive,airnewsalerts [21] pti_news,ddnewslive [21] त,क [21] प,ज [21] airnewsalerts,foxnews [21] ज,ब Top Word Pairs in Tweet in G7:
[568] risk,imminent [555] amplify,#mohammadmehdikarami's [555] #mohammadmehdikarami's,voice [555] life,please [555] platform,amplify [555] please,use [555] use,platform [555] save,life [555] voice,risk [523] imminent,execution Top Word Pairs in Tweet in G8:
[13] united,states [11] one,third [11] 'botched,' [11] ',capital [11] lethal,injection [11] third,executions [11] executions,lethal [11] injection,united [11] year,'botched [11] states,year Top Word Pairs in Tweet in G9:
[330] _friedrichmerz,markus_soeder [329] markus_soeder,abaerbock [329] tinahassel,dwnews [329] heuteshow,tilojung [329] tilojung,tinahassel [329] abaerbock,zdfmagazin [329] zdfmagazin,heuteshow [329] dwnews,potus [328] potus,potus45 [326] israelipm,emmanuelmacron Top Word Pairs in Tweet in G10:
[51] afp,cnbc [51] aljazeera,nhk_news [40] edmarkey,bbcnews [39] morningmika,afp [39] weareoversight,edmarkey [39] afp,weareoversight [39] morning_joe,joenbc [39] joenbc,morningmika [36] aegon555,morning_joe [32] komnasham,unhumanrights Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: