The graph represents a network of 5,366 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, 28 September 2021 at 00:07 UTC.
The requested start date was Tuesday, 28 September 2021 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 2-day, 1-hour, 16-minute period from Saturday, 25 September 2021 at 21:37 UTC to Monday, 27 September 2021 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 : 5366
Unique Edges : 12630
Edges With Duplicates : 26646
Total Edges : 39276
Number of Edge Types : 5
Mentions : 19513
Replies to : 1056
Retweet : 5673
MentionsInRetweet : 13001
Tweet : 33
Self-Loops : 128
Reciprocated Vertex Pair Ratio : 0.0036813922356091
Reciprocated Edge Ratio : 0.00733577859286429
Connected Components : 23
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 5324
Maximum Edges in a Connected Component : 39216
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.074418
Graph Density : 0.000729212510928809
Modularity : 0.326977
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,366 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, 28 September 2021 at 00:07 UTC.
The requested start date was Tuesday, 28 September 2021 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 2-day, 1-hour, 16-minute period from Saturday, 25 September 2021 at 21:37 UTC to Monday, 27 September 2021 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:
[550] statedept,senateforeign [441] senateforeign,housedemocrats [417] #stoptigrayfamine,statedept [408] food,aid [392] 30,years [391] years,#tplfterroristgroup [389] hunger,tigray [389] tigray,looting [389] looting,#ethiopia [389] #ethiopia,hunger Top Word Pairs in Tweet in G1:
[370] lenaargiri,statedept [204] usinnigeria,statedept [161] statedept,secblinken [128] #stoptigrayfamine,statedept [116] chinasanworu,ipob [111] days,darkness [111] darkness,killings [111] killings,sexual [111] sexual,violence [111] violence,destruction Top Word Pairs in Tweet in G2:
[414] senateforeign,housedemocrats [388] statedept,senateforeign [378] 30,years [377] years,#tplfterroristgroup [376] hunger,tigray [376] tigray,looting [376] looting,#ethiopia [376] #ethiopia,hunger [374] #tplfterroristgroup,leaders [374] downplayed,hunger Top Word Pairs in Tweet in G3:
[302] year,old [302] old,treated [302] treated,malnutrition [302] malnutrition,fleeing [302] fleeing,town [302] town,abi [302] mother,weaponization [298] abi,adi [298] adi,mother [283] #stoptigrayfamine,statedept Top Word Pairs in Tweet in G4:
[87] oppose,unjust [87] unjust,sanctions [87] sanctions,imposed [86] today,#ethiopian [86] #ethiopian,#eritrean [86] #eritrean,#americans [86] #americans,rally [86] rally,statedept [86] statedept,oppose [86] imposed,#ethiopia Top Word Pairs in Tweet in G5:
[17] please,help [16] amnistia,europarl_es [16] help,iraq [16] iraq,dv2021 [16] dv2021,winners [16] winners,stuck [16] stuck,iraq [16] iraq,please [16] please,transfer [16] transfer,case Top Word Pairs in Tweet in G6:
[40] superjollygree1,giantmooseballs [31] cia,nsagov [31] usarmy,usairforce [30] novaseline4you,bananasnuts1 [30] fbi,cia [30] nsagov,usarmy [30] usairforce,usmc [30] usmc,usnavy [30] usnavy,statedept [30] statedept,fcc Top Word Pairs in Tweet in G7:
[13] certificado,extendido [13] extendido,amiga [13] amiga,#consuelodecorruptos [13] #consuelodecorruptos,ningún [13] ningún,valor [13] valor,especialmente [13] especialmente,considerando [12] asibrianv,certificado [10] statedept,usambsv [7] asibrianv,statedept Top Word Pairs in Tweet in G8:
[6] علم,و [6] و,دانش [6] دانش,کیلئے [6] کیلئے,جہد [6] جہد,کرنے [6] کرنے,والی [6] والی,حانی [6] حانی,بلوچ [6] بلوچ,کو [6] کو,بالآخیر Top Word Pairs in Tweet in G9:
[8] reverendwarnock,statedept [4] neverlost2212,charltran [4] charltran,reverendwarnock [4] statedept,sentedcruz [4] secblinken,ambrice46 [4] houseforeign,tomorrow [4] tomorrow,10 [4] 10,00 [4] 00,join [4] join,live Top Word Pairs in Tweet in G10:
[4] statedept,eu_eeas [4] eu_eeas,josepborrellf [4] josepborrellf,arableague_gs [4] arableague_gs,oicatun [4] oicatun,europarl_en [4] europarl_en,#unga [3] #childrenoftigray,robbed [3] robbed,innocence [3] innocence,abiyahmedali [3] abiyahmedali,stop Top Replied-To in Entire Graph:
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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: