The graph represents a network of 7,658 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, 24 November 2020 at 01:21 UTC.
The requested start date was Tuesday, 24 November 2020 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, 0-hour, 45-minute period from Sunday, 22 November 2020 at 00:14 UTC to Tuesday, 24 November 2020 at 00:59 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 : 7658
Unique Edges : 16518
Edges With Duplicates : 26319
Total Edges : 42837
Number of Edge Types : 5
Replies to : 2564
Mentions : 20141
MentionsInRetweet : 15487
Retweet : 4472
Tweet : 173
Self-Loops : 242
Reciprocated Vertex Pair Ratio : 0.0053086987417966
Reciprocated Edge Ratio : 0.0105613305613306
Connected Components : 112
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 7475
Maximum Edges in a Connected Component : 42599
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.916724
Graph Density : 0.000410148447133639
Modularity : 0.394999
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,658 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, 24 November 2020 at 01:21 UTC.
The requested start date was Tuesday, 24 November 2020 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, 0-hour, 45-minute period from Sunday, 22 November 2020 at 00:14 UTC to Tuesday, 24 November 2020 at 00:59 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:
[658] statedept,secpompeo [579] secpompeo,statedept [440] statedept,unhumanrights [427] policeng,mazinnamdikanu [426] united,states [422] unhumanrights,policeng [284] statedept,united [249] sam_vinograd,ablinken [239] future,wike [239] wike,regret Top Word Pairs in Tweet in G1:
[526] statedept,secpompeo [480] secpompeo,statedept [394] united,states [268] statedept,united [204] saudi,arabia [189] states,saudi [132] iranian,regime [129] 75,years [122] states,stands [122] stands,solidarity Top Word Pairs in Tweet in G2:
[105] statedept,mfa_russia [100] mfa_russia,francediplo_en [96] eu_commission,statedept [92] #nationaldialoguenow,end [91] #oromoprotests,demands [90] francediplo_en,swissmfa [82] godisback5,unicornpoop99 [81] statedept,amnesty [81] toddhassinger11,godisback5 [81] unicornpoop99,chubbs172 Top Word Pairs in Tweet in G3:
[429] statedept,unhumanrights [427] policeng,mazinnamdikanu [422] unhumanrights,policeng [239] future,wike [239] wike,regret [239] regret,oiigbo [239] oiigbo,gani [239] gani,adams [239] adams,statedept [238] chinasanworu,future Top Word Pairs in Tweet in G4:
[249] sam_vinograd,ablinken [209] ablinken,upgrade [209] upgrade,state [209] state,understatement [209] understatement,more [209] more,wolfblitzer [209] wolfblitzer,reported [209] reported,joebiden [208] joebiden,nominati [68] joebiden,statedept Top Word Pairs in Tweet in G5:
[67] manifestación,pacífica [65] hombre,causó [65] causó,daños [65] daños,hoy [65] hoy,mando [65] mando,antimotines [65] antimotines,manifestación [65] pacífica,narcotraficante [65] narcotraficante,aliado [64] vickyguapa,hombre Top Word Pairs in Tweet in G6:
[23] cij_icj,icct_thehague [18] hoeamnotrome,thedecemberists [18] thedecemberists,_sweetanger [18] _sweetanger,corinroddick [18] corinroddick,melanielbbh [18] melanielbbh,miauniverse [18] miauniverse,kanyewest [18] kanyewest,stephenathome [18] stephenathome,aoc [16] aoc,taylorswift13 Top Word Pairs in Tweet in G7:
[20] please,share [20] share,network [20] network,truth [20] truth,susan [20] susan,rice [20] rice,ethiopia [20] ethiopia,known [19] ukkenyata,abdallahamdok [19] abdallahamdok,pressalva [19] pressalva,hawelti Top Word Pairs in Tweet in G8:
[2] think,white [2] white,interests [2] interests,mind [2] mind,wise [2] wise,understand [2] understand,edomite [2] edomite,turkic [2] turkic,mongols [2] mongols,known [2] mike,pompeo Top Word Pairs in Tweet in G9:
[96] جوانان,در [48] در,قيام [48] قيام,تير [48] تير,مستقيم [48] مستقيم,ميخورند [48] ميخورند,جوانان [48] در,خارجه [48] خارجه,ايران [48] ايران,در [48] در,معرض Top Word Pairs in Tweet in G10:
[85] jeneps,tylerpager [85] tylerpager,salehamohsin [84] salehamohsin,joebiden [84] joebiden,petebuttigieg [84] petebuttigieg,statedept [42] southflgirl954,jeneps [13] itmustbejim,jeneps [10] 4states4dc,jeneps [7] thatprincesong,jeneps [7] southflgirl954,itmustbejim 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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