The graph represents a network of 3,445 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, 22 November 2022 at 01:40 UTC.
The requested start date was Tuesday, 22 November 2022 at 01:01 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 2-day, 2-hour, 13-minute period from Saturday, 19 November 2022 at 20:40 UTC to Monday, 21 November 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 : 3445
Unique Edges : 9893
Edges With Duplicates : 25711
Total Edges : 35604
Number of Edge Types : 5
Retweet : 6748
MentionsInRetweet : 17323
Mentions : 10836
Replies to : 666
Tweet : 31
Self-Loops : 87
Reciprocated Vertex Pair Ratio : 0.00424813463318991
Reciprocated Edge Ratio : 0.00846032865122837
Connected Components : 8
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 3419
Maximum Edges in a Connected Component : 35565
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.035556
Graph Density : 0.00155412159553899
Modularity : 0.312879
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 3,445 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, 22 November 2022 at 01:40 UTC.
The requested start date was Tuesday, 22 November 2022 at 01:01 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 2-day, 2-hour, 13-minute period from Saturday, 19 November 2022 at 20:40 UTC to Monday, 21 November 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:
[546] forces,committing [478] including,ancient [477] destroyed,large [476] being,looted [476] looted,destroyed [470] ancient,relics [470] relics,artefacts [467] heritage,including [465] alex,saab [463] large,scale Top Word Pairs in Tweet in G1:
[73] mfa_russia,usinnigeria [73] uklabour,france24 [73] real_ipobdos,mfa_russia [73] usinnigeria,uklabour [63] statedept,secblinken [63] good,reminder [62] reminder,statedept [62] criminal,diplomatic [62] narendra,modi [62] diplomatic,immunity Top Word Pairs in Tweet in G2:
[537] forces,committing [474] including,ancient [473] destroyed,large [472] being,looted [472] looted,destroyed [466] ancient,relics [466] relics,artefacts [463] heritage,including [459] large,scale [445] tigray,being Top Word Pairs in Tweet in G3:
[457] alex,saab [126] diplomático,alex [117] movimiento,#freealexsaab [116] statedept,statespeha [94] diplomático,venezolano [82] secuestro,diplomático [79] saab,#freealexsaab [76] potus,statedept [75] whitehouse,statedept [75] venezolano,alex Top Word Pairs in Tweet in G4:
[81] statedept,unhumanrights [75] appeal,statedept [75] statedept,eu_commission [75] eu_commission,_africanunion [65] unhumanrights,eu_commission [63] til,regjeringen [63] appellerer,til [63] regjeringen,statedept [60] islamic,republic [50] republic,regime Top Word Pairs in Tweet in G5:
[49] nerve,agent [49] jasonmbrodsky,statedept [47] against,iranian [46] concerns,nerve [46] disturbing,concerns [46] #iran's,regime [46] deeply,disturbing [46] regime,against [46] agent,hexachloroethane [46] hexachloroethane,used Top Word Pairs in Tweet in G6:
[6] statedept,dhsgov [6] dhsgov,cdcgov [6] cdcgov,whitehouse [6] whitehouse,nihdirector [6] nihdirector,cdcdirector [3] statedeputyspox,nato [3] statedept,deptofdefense [3] theocharoush,trtworld [3] statedept,greecemfa [3] nato,statedept Top Word Pairs in Tweet in G7:
[4] camaracolombia,emelrojasc [4] secblinken,whaasstsecty [4] senrickscott,mariodb [4] maelvirasalazar,repcarlos [4] jquintero65,donbendecido [4] potus,statedept [4] senatormenendez,sentedcruz [4] whaasstsecty,senatormenendez [4] emelrojasc,ricardoariasm [4] carlosacostacjl,camaracolombia Top Word Pairs in Tweet in G9:
[10] force,#eritreaoutoftigray [8] according,pr [8] 000,600 [8] pr,nyssen [8] 600,000 [8] 383,000 [8] 20,08 [8] #tigray,between [8] nyssen,ghent [8] civilians,died Top Word Pairs in Tweet in G10:
[6] usa_nup,kagutamuseveni [6] kagutamuseveni,govuganda [6] updfspokespersn,nrmonline [6] nrmonline,parliament_ug [6] dailymonitor,policeug [6] govuganda,updfspokespersn [6] parliament_ug,usun [6] usun,dailymonitor [3] policeug,statedept [2] joebiden,administration 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 Tweeters in Entire Graph:
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Top Tweeters in G10: