The graph represents a network of 5,051 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, 14 June 2022 at 00:34 UTC.
The requested start date was Tuesday, 14 June 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, 1-hour, 31-minute period from Sunday, 12 June 2022 at 22:29 UTC to Tuesday, 14 June 2022 at 00:00 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 : 5051
Unique Edges : 14332
Edges With Duplicates : 26368
Total Edges : 40700
Number of Edge Types : 5
Replies to : 1991
Mentions : 14832
MentionsInRetweet : 18298
Retweet : 5536
Tweet : 43
Self-Loops : 245
Reciprocated Vertex Pair Ratio : 0.00805202849179312
Reciprocated Edge Ratio : 0.0159754224270353
Connected Components : 15
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 5027
Maximum Edges in a Connected Component : 40673
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.820226
Graph Density : 0.000893264935283867
Modularity : 0.383646
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,051 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, 14 June 2022 at 00:34 UTC.
The requested start date was Tuesday, 14 June 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, 1-hour, 31-minute period from Sunday, 12 June 2022 at 22:29 UTC to Tuesday, 14 June 2022 at 00:00 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:
[749] alex,saab [624] statedept,secblinken [581] statedept,statespeha [491] secblinken,statedept [454] heartbreaking,see [450] #tigrayfamine,heartbreaking [422] see,suffering [418] suffering,children [418] children,world [345] potus,statedept Top Word Pairs in Tweet in G1:
[426] statedept,secblinken [298] secblinken,statedept [153] united,states [136] potus,statedept [128] uscis,uscisdirector [96] usambnepal,uscis [96] uscisdirector,kccldrm [96] kccldrm,travelgov [96] travelgov,potus [96] statedept,#nepal Top Word Pairs in Tweet in G2:
[453] heartbreaking,see [449] #tigrayfamine,heartbreaking [421] see,suffering [417] suffering,children [417] children,world [342] world,act [221] 19,months [215] weaponized,rape [207] please,save [206] act,please Top Word Pairs in Tweet in G3:
[727] alex,saab [581] statedept,statespeha [338] statespeha,usembassyve [242] usembassyve,secblinken [214] statespeha,statedept [171] diplomático,alex [126] potus,statedept [111] nuestro,diplomático [109] secblinken,statedept [109] joebiden,statedept Top Word Pairs in Tweet in G4:
[144] liz,truss [144] truss,accused [144] accused,ignoring [144] ignoring,evidence [144] evidence,rendition [144] rendition,uk [144] uk,citizen [144] citizen,nigeria [144] nigeria,statedept [114] mazikanuntakanu,liz Top Word Pairs in Tweet in G5:
[17] statedept,nato [11] koolholio,statedept [3] barackobama,statedept [3] statedept,cbs [3] cbs,nbc [3] nbc,google [3] google,big [3] big,tech [3] tech,cartel [3] cartel,hacker's Top Word Pairs in Tweet in G6:
[19] twittersafety,twitter [19] twitter,statedept [18] hermelatv,twittersafety [14] unjhro,unhumanrights [14] unhumanrights,un_hrc [11] statedept,ablinken [11] fardc_off,onu_fr [11] onu_fr,unjhro [11] un_hrc,drjppham [11] drjppham,statehousekenya Top Word Pairs in Tweet in G7:
[14] statedept,secblinken [11] secblinken,cmshehbaz [11] cmshehbaz,govtofpakistan [9] usembru,usaporusski [8] govtofpakistan,potus [8] potus,bbhuttozardari [8] nimhgov,iata [7] frenchcameroun,soldiers [7] statedept,imrankhanpti [7] imrankhanpti,govtofpakistan Top Word Pairs in Tweet in G8:
[10] state_e,camilocondis [10] camilocondis,statedept [10] statedept,summitamericas [9] summitamericas,bizatstate [8] bizatstate,uschamber [7] statedept,usembassydhaka [7] ukinbangladesh,rcdicksonuk [6] joegarcia,sailydeamarillo [6] sailydeamarillo,state_e [6] dear,statedept Top Word Pairs in Tweet in G9:
[45] chronological,developments [45] developments,politics [45] politics,horn [45] horn,well [45] well,documented [45] documented,#us [45] #us,noxious [45] noxious,role [45] role,more [45] more,discernible Top Word Pairs in Tweet in G10:
[16] potus,statedept [13] statedept,oic_oci [11] oic_oci,cjwerleman [10] #rottenjudiciary,called [10] called,largest [10] largest,democracy [10] democracy,potus [9] cjwerleman,unhumanrights [5] unhumanrights,cnn [4] cnn,gccsg 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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