The graph represents a network of 3,981 Twitter users whose tweets in the requested range contained "statedept", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 May 2022 at 00:33 UTC.
The requested start date was Tuesday, 24 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 2-hour, 29-minute period from Sunday, 22 May 2022 at 20:24 UTC to Monday, 23 May 2022 at 22:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 3981
Unique Edges : 9807
Edges With Duplicates : 41845
Total Edges : 51652
Number of Edge Types : 5
Retweet : 6036
MentionsInRetweet : 16523
Mentions : 27879
Replies to : 1187
Tweet : 27
Self-Loops : 208
Reciprocated Vertex Pair Ratio : 0.00653284238033021
Reciprocated Edge Ratio : 0.0129808827000236
Connected Components : 12
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 3955
Maximum Edges in a Connected Component : 51609
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.042516
Graph Density : 0.00106965371948918
Modularity : 0.234751
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,981 Twitter users whose tweets in the requested range contained "statedept", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 May 2022 at 00:33 UTC.
The requested start date was Tuesday, 24 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 2-hour, 29-minute period from Sunday, 22 May 2022 at 20:24 UTC to Monday, 23 May 2022 at 22:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : statedept
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:
[1602] unhumanrights,statedept [1584] amnestyusa,hrw [1554] hrw,unhumanrights [1446] statedept,sfrcdems [1419] sfrcdems,cnn [1226] cnn,bbcworld [1147] france24,reuters [1118] bbcworld,france24 [1087] #oromovoice,#stoporomogenocide [1074] reuters,#oromovoice Top Word Pairs in Tweet in G1:
[141] statedept,secblinken [76] whitehouse,statedept [69] statedept,ccsoludo [67] food,security [63] comment,whitehouse [63] statedept,anyone [63] anyone,american [63] american,journalists [63] journalists,harassed [63] harassed,doing Top Word Pairs in Tweet in G2:
[1601] unhumanrights,statedept [1584] amnestyusa,hrw [1554] hrw,unhumanrights [1438] statedept,sfrcdems [1419] sfrcdems,cnn [1226] cnn,bbcworld [1147] france24,reuters [1118] bbcworld,france24 [1087] #oromovoice,#stoporomogenocide [1074] reuters,#oromovoice Top Word Pairs in Tweet in G3:
[445] alex,saab [134] statedept,secblinken [103] #consularservicesincuba,#cfrp [99] statedept,statespeha [97] #cfrp,#nomoreguyana [91] statedept,potus [83] diplomático,alex [80] joebiden,statedept [78] potus,statedept [73] secblinken,statedept Top Word Pairs in Tweet in G4:
[253] lightersup9,novaseline4you [174] superjollygree1,giantmooseballs [159] militarystart4,blindedbythel13 [155] cia,nsagov [153] usnavy,statedept [151] thunderboom111,spicymooseballs [151] spicymooseballs,toddhassinger11 [151] toddhassinger11,donkeykongnut [151] donkeykongnut,thundeer20 [151] thundeer20,bigfoothairyst1 Top Word Pairs in Tweet in G5:
[19] schedule,more [19] usembalgiers,usambtoalgeria [19] usambtoalgeria,statedept [18] statedept,statedeptspox [18] potus,statedept [18] please,elizabethaubin [18] elizabethaubin,ask [18] ask,usembalgiers [18] statedept,usambtoalgeria [17] statedept,secblinken Top Word Pairs in Tweet in G6:
[14] deahq,aocenespanol [14] aocenespanol,repaoc [14] repaoc,fbi [14] fbi,stateinl [14] stateinl,statedept [14] statedept,senrubiopress [14] senrubiopress,senadogovco [14] senadogovco,washingtonpost [14] washingtonpost,nytimeses [8] senatormenendez,sfrcdems Top Word Pairs in Tweet in G7:
[13] statedept,uscgsoutheast [13] uscgsoutheast,uscg [12] yeilis,torres [12] reason,relaxed [12] relaxed,dictatorship [12] dictatorship,day [12] day,repression [12] repression,silence [11] favor,tenemos [11] tenemos,unirnos Top Word Pairs in Tweet in G8:
[11] rusembusa,mfa_russia [11] usembru,usaporusski [10] mfa_russia,shaolintom [10] shaolintom,mod_russia [10] mod_russia,usembru [10] usaporusski,statedept [9] geraldcelente,twitter [9] twitter,announces [9] announces,crackdown [9] crackdown,#ukraine Top Word Pairs in Tweet in G9:
[39] statedept,secblinken [38] secblinken,whcos [35] ltgrusselhonore,statedept [26] whcos,need [26] need,something [26] something,help [26] help,build [26] build,coalition [26] coalition,deploy [26] deploy,1200 Top Word Pairs in Tweet in G10:
[17] daughter,class [17] class,student [17] student,father [17] father,killed [17] killed,police [17] police,custody [17] custody,primarily [17] primarily,identity [17] identity,more [17] more,need 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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