The graph represents a network of 5,164 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, 10 May 2022 at 00:35 UTC.
The requested start date was Tuesday, 10 May 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, 2-hour, 6-minute period from Sunday, 08 May 2022 at 20:46 UTC to Monday, 09 May 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 : 5164
Unique Edges : 12573
Edges With Duplicates : 24946
Total Edges : 37519
Number of Edge Types : 5
Retweet : 5325
MentionsInRetweet : 15757
Mentions : 14402
Replies to : 1975
Tweet : 60
Self-Loops : 275
Reciprocated Vertex Pair Ratio : 0.00557602310066713
Reciprocated Edge Ratio : 0.0110902069511833
Connected Components : 8
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 5147
Maximum Edges in a Connected Component : 37499
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.943638
Graph Density : 0.000757565187437935
Modularity : 0.344911
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,164 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, 10 May 2022 at 00:35 UTC.
The requested start date was Tuesday, 10 May 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, 2-hour, 6-minute period from Sunday, 08 May 2022 at 20:46 UTC to Monday, 09 May 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:
[1115] secblinken,statedept [618] alex,saab [595] stand,against [592] ethiopian,eritrean [583] eritrean,govts [581] #mothersday2022,stand [581] against,humanitarian [581] humanitarian,blockade [581] blockade,imposed [581] imposed,ethiopian Top Word Pairs in Tweet in G1:
[406] secblinken,statedept [105] statedept,fbi [103] alimayorkas,statedept [103] fbi,uscis [103] uscis,uscis_es [103] uscis_es,dhsgov [97] statedept,statedeptspox [74] agente,g2 [74] g2,alias [74] alias,100 Top Word Pairs in Tweet in G2:
[417] secblinken,statedept [268] war,crimes [256] russia's,forces [255] forces,committed [255] committed,war [255] crimes,ukraine [255] ukraine,killed [255] killed,thousands [255] thousands,civilians [255] civilians,created Top Word Pairs in Tweet in G3:
[571] ethiopian,eritrean [562] eritrean,govts [560] #mothersday2022,stand [560] stand,against [560] against,humanitarian [560] humanitarian,blockade [560] blockade,imposed [560] imposed,ethiopian [287] sfrcdems,nytimes [257] statedept,#stopwarinoromia Top Word Pairs in Tweet in G4:
[618] alex,saab [195] diplomático,alex [125] potus,statedept [124] cr_56_amax,statedept [110] statedept,statespeha [97] nuestro,diplomático [88] ee,uu [86] statedept,secblinken [85] somos,#pueblodepaz [80] cabo,verde Top Word Pairs in Tweet in G5:
[13] statedept,deptofdefense [8] deptofdefense,statedept [7] statedept,statedeptpm [7] potus,whitehouse [6] whitehouse,statedept [6] borisjohnson,10downingstreet [6] emmanuelmacron,potus [6] potus,vp [6] vp,statedept [6] statedeptpm,nato Top Word Pairs in Tweet in G6:
[42] secblinken,statedept [36] usaporusski,secblinken [13] rusembusa,mfa_russia [11] statedept,usembru [11] usembru,usaporusski [9] leonelk855,usaporusski [8] deputysecstate,statedept [8] statedept,usambnato [8] statedept,расскажите [8] расскажите,о Top Word Pairs in Tweet in G7:
[106] statedept,ustreasury [68] potus,secblinken [67] secblinken,statedept [66] ustreasury,commercegov [43] potus,statedept [35] calling,gov [35] gov,potus [35] ustreasury,impose [35] impose,tough [35] tough,targeted Top Word Pairs in Tweet in G8:
[28] potus,statedept [24] amnesty,hrw [24] senateforeign,houseforeign [21] statedept,senateforeign [20] statedept,powerusaid [20] statedept,infatuated [20] houseforeign,senategop [19] billions,children [19] children,over [19] over,innocent Top Word Pairs in Tweet in G9:
[22] deadly,clampdown [22] clampdown,nov [22] nov,2019 [15] 2019,#iranprotests [14] during,deadly [14] #iranprotests,regime [14] regime,shut [14] shut,down [14] down,internet [14] internet,hide Top Word Pairs in Tweet in G10:
[4] teodiofidel,yolyhabanera [4] yolyhabanera,nayelis28047525 [4] nayelis28047525,ed93357856 [4] ed93357856,horicuba [4] horicuba,jodgali [4] jodgali,jvergaran [4] jvergaran,joseromi2126233 [4] joseromi2126233,rtyankee [3] statedept,potus [3] usembassymex,statedept Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: