The graph represents a network of 4,021 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, 12 July 2022 at 00:34 UTC.
The requested start date was Tuesday, 12 July 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 4-day, 0-hour, 39-minute period from Thursday, 07 July 2022 at 22:12 UTC to Monday, 11 July 2022 at 22:52 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 : 4021
Unique Edges : 9196
Edges With Duplicates : 30440
Total Edges : 39636
Number of Edge Types : 5
Retweet : 6398
MentionsInRetweet : 12657
Replies to : 812
Mentions : 19747
Tweet : 22
Self-Loops : 207
Reciprocated Vertex Pair Ratio : 0.00806060606060606
Reciprocated Edge Ratio : 0.0159923044549991
Connected Components : 32
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 3985
Maximum Edges in a Connected Component : 39619
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.218384
Graph Density : 0.00102898835838218
Modularity : 0.280033
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,021 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, 12 July 2022 at 00:34 UTC.
The requested start date was Tuesday, 12 July 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 4-day, 0-hour, 39-minute period from Thursday, 07 July 2022 at 22:12 UTC to Monday, 11 July 2022 at 22:52 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:
[4316] ø,ø [3432] ø,ù [3370] ù,ø [1690] ù,ù [1244] statedept,sfrcdems [1134] sfrcdems,reuters [1084] afp,wfp [1066] reuters,afp [1050] wfp,unhumanrights [951] unhumanrights,#oromovoice Top Word Pairs in Tweet in G1:
[637] war,crimes [613] arbitrary,detention [613] detention,tigrayan [613] tigrayan,widespread [613] widespread,meaningful [613] meaningful,accountability [609] accountability,war [475] statedept,sfrcdems [467] crimes,#tigraycantwait [417] sfrcdems,reuters Top Word Pairs in Tweet in G2:
[815] alex,saab [310] statedept,secblinken [198] #consularservicesincuba,#cfrp [186] statespeha,statedept [185] diplomático,alex [180] #cfrp,#nomoreguyana [173] #datecfrp,#consularservicesincuba [172] secblinken,statespeha [170] diplomã,tico [160] whaasstsecty,potus Top Word Pairs in Tweet in G3:
[66] united,states [52] statedept,potus [50] statedept,secblinken [37] secblinken,sanctions [37] sanctions,arenâ [37] arenâ,blocking [37] blocking,black [37] black,sea [37] sea,ports [37] ports,trapping Top Word Pairs in Tweet in G4:
[103] ethiopia,promises [103] promises,peace [103] peace,keeps [103] keeps,harassing [103] harassing,arresting [103] arresting,murdering [103] murdering,tigrayans [103] tigrayans,throughout [103] throughout,ethiopia [103] ethiopia,keeps Top Word Pairs in Tweet in G5:
[4267] ø,ø [3397] ø,ù [3334] ù,ø [1670] ù,ù [767] statedept,sfrcdems [717] sfrcdems,reuters [703] afp,wfp [689] reuters,afp [680] wfp,unhumanrights [608] unhumanrights,#oromovoice Top Word Pairs in Tweet in G6:
[33] usaporusski,usembru [31] usembru,statedept [25] rusembusa,usaporusski [16] rusembusa,mfa_russia [16] mfa_russia,usaporusski [15] rusbotschaft,germania_online [13] statedept,rusbotschaft [13] germania_online,russiaun [13] russiaun,armscontrol_rus [13] armscontrol_rus,mission_russian Top Word Pairs in Tweet in G7:
[42] estados,unidos [41] #soscubq,#derechoaregesar [41] #derechoaregesar,llevo [41] llevo,meses [41] meses,estados [41] unidos,nada [41] nada,resuelto [41] resuelto,regresar [41] regresar,sino [41] sino,tampoco Top Word Pairs in Tweet in G8:
[17] chief,enablers [17] enablers,#amharagenocide [17] abiyahmedali,shimelisabdisa [17] shimelisabdisa,yilkal_kefale [17] yilkal_kefale,#abiymustresign [15] #amharagenocide,ethiopia [15] ethiopia,abiyahmedali [12] amharas,oromia [12] oromia,region [9] #abiymustresign,immediately Top Word Pairs in Tweet in G9:
[3] secdef,secblinken [3] gramirezavila,calumnia [3] calumnia,#fakenews [3] #fakenews,atentan [3] atentan,contra [3] contra,democracia [3] democracia,seguridad [3] seguridad,nacional [3] nacional,ojo [3] ojo,usembassybogota Top Word Pairs in Tweet in G10:
[3] amnistia,europarl_es [3] europarl_es,erikaguevarar [3] costa,rica [3] rica,vendetta [3] vendetta,nuevo [3] nuevo,gobierno [3] gobierno,contra [3] contra,grupo [3] grupo,medios [3] medios,opositor 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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