The graph represents a network of 4,429 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, 20 September 2022 at 00:34 UTC.
The requested start date was Tuesday, 20 September 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, 0-hour, 37-minute period from Friday, 16 September 2022 at 22:16 UTC to Saturday, 17 September 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 : 4429
Unique Edges : 11923
Edges With Duplicates : 26186
Total Edges : 38109
Number of Edge Types : 5
Retweet : 6230
MentionsInRetweet : 15720
Replies to : 1120
Mentions : 14991
Tweet : 48
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.00392329949487519
Reciprocated Edge Ratio : 0.00781593473694495
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 4420
Maximum Edges in a Connected Component : 38068
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.796437
Graph Density : 0.00104382036519996
Modularity : 0.340178
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,429 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, 20 September 2022 at 00:34 UTC.
The requested start date was Tuesday, 20 September 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, 0-hour, 37-minute period from Friday, 16 September 2022 at 22:16 UTC to Saturday, 17 September 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:
[439] eritrea,withdraw [439] withdraw,borders [439] others,cease [439] cease,fueling [438] call,eritrea [438] borders,others [437] fueling,conflict [421] conflict,statedept [420] unocha,eu_commission [409] eu_commission,usaid Top Word Pairs in Tweet in G1:
[438] eritrea,withdraw [438] withdraw,borders [438] others,cease [438] cease,fueling [437] call,eritrea [437] borders,others [436] fueling,conflict [420] conflict,statedept [380] dear,#unsc [342] unsc,didn Top Word Pairs in Tweet in G2:
[370] alex,saab [114] saab,diplomático [112] diplomático,secuestrado [84] military,aid [79] aid,#azerbaijan [79] statedept,tvnnoticias [79] tvnnoticias,usembpan [78] cabo,verde [78] fact,statedept [78] statedept,values Top Word Pairs in Tweet in G3:
[420] unocha,eu_commission [409] eu_commission,usaid [351] statedept,reuters [306] reuters,ap [300] usaid,wfp [287] wfp,statedept [266] ap,ablinken [203] ablinken,#oromovoice [203] #oromovoice,#famineinoromia [193] oromo,lives Top Word Pairs in Tweet in G4:
[141] great,satisfaction [141] satisfaction,welcome [141] welcome,announcement [141] announcement,statedept [141] statedept,complete [141] complete,lifting [140] anastasiadescy,great [140] lifting,arms [81] anastasiadescy,statedept [62] following,statedept's Top Word Pairs in Tweet in G5:
[34] statedept,foreignpolicy [31] burnt,down [31] down,over [31] over,40 [31] 40,houses [30] hqnigerianarmy,today [30] today,17th [30] 17th,september [30] september,invaded [30] invaded,ihitteukwa Top Word Pairs in Tweet in G6:
[23] #disarmtplf,#tplfisthecause [20] #unityforethiopia,#disarmtplf [18] ethiopia,friend [18] friend,remain [18] remain,very [18] very,much [18] much,action [18] action,statedept [18] statedept,more [18] more,more Top Word Pairs in Tweet in G7:
[62] statedept,usambun [29] usambun,previews [29] previews,#unga77 [29] #unga77,believe [29] believe,moment [29] moment,defend [29] defend,united [29] united,nations [29] nations,demonstrate [29] demonstrate,world Top Word Pairs in Tweet in G8:
[89] rusembusa,mfa_russia [85] mfa_russia,statedept [61] nytimes,wsj [43] foxnews,shaolintom [39] statedept,business [32] statedept,ustreasury [32] ustreasury,business [32] business,nytimes [32] wsj,foxnews [29] shaolintom,tuckercarlson Top Word Pairs in Tweet in G9:
[104] #cia,scared [104] scared,#eritrea [104] #eritrea,statedept [104] statedept,traumatized [104] traumatized,happening [104] happening,#tplf [104] #tplf,cia [104] cia,operative [104] operative,mr [104] mr,_hudsonc Top Word Pairs in Tweet in G10:
[14] sjfina2022,serafinart2022 [14] serafinart2022,sjfina1 [14] sjfina1,donkeykongnut [14] donkeykongnut,thundeer20 [14] thundeer20,bigfoothairyst1 [14] bigfoothairyst1,ohdeer77 [14] ohdeer77,bananadeer4 [14] bananadeer4,chubbs172 [7] chubbs172,godisback5 [7] godisback5,gnarlyballs 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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