The graph represents a network of 4,217 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, 23 August 2022 at 00:33 UTC.
The requested start date was Tuesday, 23 August 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 3-day, 1-hour, 21-minute period from Friday, 19 August 2022 at 21:30 UTC to Monday, 22 August 2022 at 22:51 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 : 4217
Unique Edges : 9201
Edges With Duplicates : 24711
Total Edges : 33912
Number of Edge Types : 5
Retweet : 6406
MentionsInRetweet : 11855
Mentions : 14659
Tweet : 44
Replies to : 948
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0.00622812740969215
Reciprocated Edge Ratio : 0.0123791558594671
Connected Components : 27
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 4189
Maximum Edges in a Connected Component : 33882
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.222216
Graph Density : 0.000954166271066016
Modularity : 0.352717
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,217 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, 23 August 2022 at 00:33 UTC.
The requested start date was Tuesday, 23 August 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 3-day, 1-hour, 21-minute period from Friday, 19 August 2022 at 21:30 UTC to Monday, 22 August 2022 at 22:51 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:
[1137] alex,saab [721] million,people [690] people,#tigray [690] #tigray,need [690] life,saving [686] need,life [686] saving,health [686] health,services [686] services,including [686] including,sexual Top Word Pairs in Tweet in G1:
[114] statedept,potus [94] statedept,secblinken [85] rusembusa,mfa_russia [59] religious,freedom [56] mfa_russia,statedept [55] secblinken,religious [48] key,element [47] freedom,key [47] element,open [47] open,stable Top Word Pairs in Tweet in G2:
[716] million,people [686] people,#tigray [685] #tigray,need [682] need,life [682] life,saving [682] saving,health [682] health,services [682] services,including [682] including,sexual [607] sexual,reproductive Top Word Pairs in Tweet in G3:
[1115] alex,saab [335] diplomático,alex [280] statedept,statespeha [248] statedept,secblinken [166] potus,statedept [157] nuestro,diplomático [151] #freealexsaab,potus [131] diplomático,venezolano [126] #freealexsaab,statedept [117] secblinken,statespeha Top Word Pairs in Tweet in G4:
[148] buhari,government [138] soyinka,queries [138] queries,buhari [138] government,proscribing [138] proscribing,ipob [138] ipob,sparing [138] sparing,armed [138] armed,herdsmen [138] herdsmen,unleash [138] unleash,terror Top Word Pairs in Tweet in G5:
[182] سازمان,ملل [157] statedept,secblinken [126] secblinken,whnsc [122] #victimsofterrorism,#novisa4raisi [122] مردم,ایران [113] whnsc,thejusticedept [101] thejusticedept,antonioguterres [99] به,رئیسی [93] #novisa4raisi,statedept [92] ملل,متحد Top Word Pairs in Tweet in G6:
[13] statedept,potus [11] trump,statedept [9] nayibbukele,pncsv [9] pncsv,fulloa51 [8] aragornius1,nayibbukele [8] maraelenes,mfeuma [8] mfeuma,parcinie07 [8] parcinie07,seppruiz [8] seppruiz,gonzalolugoes [8] gonzalolugoes,bettyha68884355 Top Word Pairs in Tweet in G7:
[18] #nonegotiation,abiyahmedali [18] abiyahmedali,pmethiopia [18] pmethiopia,demekehasen [18] demekehasen,yilkal_kefale [18] yilkal_kefale,redwanhussien [18] redwanhussien,agegnehut [18] agegnehut,nama_at_abin [18] nama_at_abin,beletemg [18] beletemg,cdessalegn [18] cdessalegn,mikehammerusa Top Word Pairs in Tweet in G8:
[2] softwarnet,solomonyue [2] solomonyue,chinascanada [2] chinascanada,voachinese [2] voachinese,taiwantfc [2] taiwantfc,ramyinocencio [2] ramyinocencio,kishinobuo [2] kishinobuo,bbcchinese [2] bbcchinese,pekingmike Top Word Pairs in Tweet in G9:
[4] euronewsfr,europarl_fr [3] gaelfaye,onu_fr [3] onu_fr,wairimuanderitu [3] wairimuanderitu,euronewsfr [3] europarl_fr,usambdrc [3] usambdrc,statedept [3] statedept,ueenrdc [2] maishardc,gateteviews [2] gateteviews,gaelfaye [2] ueenrdc,kagutamuseveni Top Word Pairs in Tweet in G10:
[12] blindedbythel13,bananasnuts1 [12] superjollygree1,spicymooseballs [12] spicymooseballs,herebedragons19 [11] lightersup9,blindedbythel13 [11] bananasnuts1,novaseline4you [11] novaseline4you,superjollygree1 [7] militarystart4,lightersup9 [7] herebedragons19,giantmo [5] herebedragons19,giantmooseballs [5] giantmooseballs,toddhassinger11 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:
Top Tweeters in G1:
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Top Tweeters in G10: