The graph represents a network of 4,741 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 February 2022 at 01:45 UTC.
The requested start date was Tuesday, 22 February 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 1-day, 0-hour, 1-minute period from Sunday, 20 February 2022 at 22:51 UTC to Monday, 21 February 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 : 4741
Unique Edges : 13060
Edges With Duplicates : 25248
Total Edges : 38308
Number of Edge Types : 5
Retweet : 5949
MentionsInRetweet : 16572
Mentions : 14329
Replies to : 1322
Tweet : 136
Self-Loops : 204
Reciprocated Vertex Pair Ratio : 0.00386792452830189
Reciprocated Edge Ratio : 0.00770604266516305
Connected Components : 18
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 4707
Maximum Edges in a Connected Component : 38269
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.774212
Graph Density : 0.000947030883299203
Modularity : 0.373924
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,741 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 February 2022 at 01:45 UTC.
The requested start date was Tuesday, 22 February 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 1-day, 0-hour, 1-minute period from Sunday, 20 February 2022 at 22:51 UTC to Monday, 21 February 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:
[2137] statedept,act [2109] lack,food [2103] extreme,lack [2097] suffering,extreme [2095] #tigray,ans [2095] food,83 [2095] 83,food [2095] food,insecure [2095] insecure,statedept [2093] 40,#tigray Top Word Pairs in Tweet in G1:
[256] alex,saab [156] suffering,extreme [156] extreme,lack [156] lack,food [156] food,83 [156] 83,food [156] food,insecure [156] insecure,statedept [156] statedept,act [155] 40,#tigray Top Word Pairs in Tweet in G2:
[1881] statedept,act [1853] lack,food [1847] extreme,lack [1841] suffering,extreme [1839] #tigray,ans [1839] food,83 [1839] 83,food [1839] food,insecure [1839] insecure,statedept [1838] 40,#tigray Top Word Pairs in Tweet in G3:
[266] fbi,statedept [205] alejandro,gertz [199] información,fbi [198] gertz,avisaron [198] avisaron,fgr [198] fgr,toda [198] toda,información [198] statedept,saben [197] acastillodc,alejandro [197] saben,exigist Top Word Pairs in Tweet in G4:
[152] mfa_russia,statedept [135] statedept,fcdogovuk [135] fcdogovuk,russianembassy [135] russiaun,rusembindia [135] rusembindia,dpol_un [135] dpol_un,amb_ulyanov [135] amb_ulyanov,embassyofrussia [134] russianembassy,rusembusa [134] rusembusa,russiaun [133] embassyofrussia,rusembassyj Top Word Pairs in Tweet in G5:
[25] srasberry1,arthurp41275988 [25] criticasinmiedo,andrew7rd [25] phil_denton,itsbt50 [25] carrieamaze23,sammk1964 [25] angryfleas,theromsey [25] theromsey,f505eb72b9cd493 [25] f505eb72b9cd493,darstin1957 [25] justintrudeau,joebiden [25] joebiden,cdcgov [25] cdcgov,alimayorkas Top Word Pairs in Tweet in G6:
[5] holocausto,venezuela [5] venezuela,comunistas [5] comunistas,exterminan [5] exterminan,ancianos [5] ancianos,niños [5] niños,venezuela [5] venezuela,pensionados [5] pensionados,mueren [5] mueren,hambre [5] hambre,salud Top Word Pairs in Tweet in G7:
[6] whitehouse,statedept [5] bananasnuts1,blindedbythel13 [5] novaseline4you,grahamshuler [5] grahamshuler,superjollygree1 [5] superjollygree1,giantmooseballs [5] statedept,usa_china_talk [4] normally,peaceful [4] peaceful,protestors [4] protestors,being [4] being,crushed Top Word Pairs in Tweet in G8:
[33] cae,careta [33] careta,sandraquinoneza [33] sandraquinoneza,cajoneados [33] cajoneados,casos [33] casos,contra [33] contra,crimen [33] crimen,organizado [33] organizado,horacio_cartes [32] hugoportillopy,cae [14] horacio_cartes,laembajada Top Word Pairs in Tweet in G9:
[20] unhcregypt,iomegypt [20] iomegypt,moiegy [18] #stopdeportationoferitreans,eritrean [18] eritrean,refugees [18] refugees,left [18] left,home [18] home,fearing [18] fearing,persecution [18] persecution,call [18] call,unhcregypt Top Word Pairs in Tweet in G10:
[2] sign,petition [2] petition,send [2] send,strong [2] strong,message [2] message,congress [2] congress,senate [2] senate,biden [2] biden,reject [2] reject,#hr6600 [2] #hr6600,bill 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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