The graph represents a network of 7,100 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 Wednesday, 03 March 2021 at 00:38 UTC.
The requested start date was Tuesday, 02 March 2021 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, 3-hour, 3-minute period from Saturday, 27 February 2021 at 21:57 UTC to Tuesday, 02 March 2021 at 01:00 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 : 7100
Unique Edges : 15845
Edges With Duplicates : 29804
Total Edges : 45649
Number of Edge Types : 5
Retweet : 5656
MentionsInRetweet : 17089
Mentions : 21143
Replies to : 1698
Tweet : 63
Self-Loops : 109
Reciprocated Vertex Pair Ratio : 0.00484527687296417
Reciprocated Edge Ratio : 0.00964382673528101
Connected Components : 40
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 7034
Maximum Edges in a Connected Component : 45555
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.92943
Graph Density : 0.00048963452499757
Modularity : 0.370981
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 7,100 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 Wednesday, 03 March 2021 at 00:38 UTC.
The requested start date was Tuesday, 02 March 2021 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, 3-hour, 3-minute period from Saturday, 27 February 2021 at 21:57 UTC to Tuesday, 02 March 2021 at 01:00 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:
[986] joaquincastrotx,statedept [894] statedept,internships [893] internships,unpaid [893] career,diplomacy [892] unpaid,shouldn [892] shouldn,wealthy [892] wealthy,pursue [892] pursue,career [892] diplomacy,wrote [892] wrote,bill Top Word Pairs in Tweet in G1:
[986] joaquincastrotx,statedept [894] statedept,internships [893] internships,unpaid [893] career,diplomacy [892] unpaid,shouldn [892] shouldn,wealthy [892] wealthy,pursue [892] pursue,career [892] diplomacy,wrote [892] wrote,bill Top Word Pairs in Tweet in G2:
[487] eu_commission,statedept [338] amnesty,report [302] statedept,voaamharic [292] refugees,eu_commission [292] marcgarneau,#unityforethiopia [283] #unityforethiopia,#shameonamnesty [211] #shameonamnesty,refugees [180] amhara,militia [165] voaamharic,voanews [154] secblinken,statedept Top Word Pairs in Tweet in G3:
[480] statedept,secblinken [413] potus,vp [180] 2017,2020 [171] secblinken,statedept [136] vp,whitehouse [135] mhackman,alimayorkas [133] alimayorkas,statedept [121] whitehouse,mhackman [115] statedept,potus [115] secblinken,usabehfarsi Top Word Pairs in Tweet in G4:
[56] hispaniaspain,luthienaragon [55] deahq,parlamentoue [55] parlamentoue,cubadecide [55] cubadecide,europarl_es [54] europarl_es,onu_es [52] lilianasnchez9,zibelinam [50] blindedbythel13,bananasnuts1 [50] bananasnuts1,superjollygree1 [43] luthienaragon,rai [42] usambsv,statedept Top Word Pairs in Tweet in G5:
[128] potus,joebiden [76] port,prince [73] jovenel,moïse [72] hundreds,thousands [72] thousands,protesters [72] protesters,streets [72] streets,port [72] prince,asking [72] asking,jovenel [72] moïse,step Top Word Pairs in Tweet in G6:
[138] statedept,statedeptspox [69] statedeptspox,statedept [49] usabehfarsi,statedeptspox [31] saudi,arabia [17] jamal,khashoggi [16] region,toward [16] statedeptspox,speaks [16] speaks,killing [16] killing,jamal [16] khashoggi,taking Top Word Pairs in Tweet in G7:
[111] secblinken,speakerpelosi [110] speakerpelosi,senschumer [110] statedept,senatormenendez [110] senschumer,hrw [109] senatormenendez,secblinken [109] hrw,amnestyearo [84] arfassegemeda,statedept [58] jawar,mohammed [54] political,prisoners [53] oromo,political Top Word Pairs in Tweet in G8:
[5] occupation,french [5] #biafraexit,#esn [4] clear,#southerncameroons [4] #southerncameroons,under [4] under,occupation [4] french,cameroun [4] cameroun,terrorists [4] terrorists,posing [4] posing,soldiers [4] soldiers,marshall Top Word Pairs in Tweet in G9:
[6] europarl_en,statedept [5] participants,europe [5] europe,iran [5] iran,business [5] business,forum [5] forum,face [5] face,shame [5] shame,fact [5] houseforeign,potus [5] potus,europarl_en Top Word Pairs in Tweet in G10:
[24] fbimiamifl,usembpan [24] usembpan,statedept [24] statedept,usaenespanol [21] entonces,puedo [21] puedo,enviar [21] enviar,gmail [21] gmail,denunciando [21] denunciando,ex [21] ex,presidente [21] presidente,pño 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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