The graph represents a network of 5,458 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, 12 October 2021 at 00:08 UTC.
The requested start date was Tuesday, 12 October 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 1-day, 1-hour, 2-minute period from Sunday, 10 October 2021 at 21:51 UTC to Monday, 11 October 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 : 5458
Unique Edges : 15802
Edges With Duplicates : 31046
Total Edges : 46848
Number of Edge Types : 5
Retweet : 5273
MentionsInRetweet : 22390
Mentions : 17664
Replies to : 1496
Tweet : 25
Self-Loops : 124
Reciprocated Vertex Pair Ratio : 0.00257405354031364
Reciprocated Edge Ratio : 0.0051348895998736
Connected Components : 7
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5436
Maximum Edges in a Connected Component : 46814
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.831911
Graph Density : 0.00085001141205036
Modularity : 0.323254
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,458 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, 12 October 2021 at 00:08 UTC.
The requested start date was Tuesday, 12 October 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 1-day, 1-hour, 2-minute period from Sunday, 10 October 2021 at 21:51 UTC to Monday, 11 October 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:
[904] statedept,eu_commission [888] cnn,flyethiopian [886] flyethiopian,statedept [884] eu_commission,euinethiopia [883] euinethiopia,ukinethiopia [882] dejene_2011,cnn [881] ukinethiopia,cnnnewsroom [866] cnnnewsroom,nimaelbagir [530] #thegenocider,tplf [513] terrorist,group Top Word Pairs in Tweet in G1:
[475] transformed,ancient [475] ancient,ethiopia [475] ethiopia,education [475] education,infrastructure [475] infrastructure,agriculture [475] agriculture,health [475] health,defence [474] defence,statedept [340] human,shields [339] amhara,children Top Word Pairs in Tweet in G2:
[176] usinnigeria,statedept [171] imo,state [121] ukinnigeria,usinnigeria [119] izombe,oguta [119] oguta,lga [119] lga,imo [118] military,invaded [118] invaded,izombe [118] state,burnt [118] burnt,down Top Word Pairs in Tweet in G3:
[264] staralliance,member [264] member,flyethiopian [252] #tigray,war [236] military,weapons [203] potus,statedept [202] abiyahmedali's,response [194] #civilaviationused4genocide,#boycottethiopianairlines [175] secblinken,potus [167] flyethiopian,set [167] set,dangerous Top Word Pairs in Tweet in G4:
[595] statedept,eu_commission [593] flyethiopian,statedept [592] cnn,flyethiopian [592] eu_commission,euinethiopia [591] euinethiopia,ukinethiopia [590] dejene_2011,cnn [589] ukinethiopia,cnnnewsroom [577] cnnnewsroom,nimaelbagir [394] #thegenocider,tplf [389] takes,arms Top Word Pairs in Tweet in G5:
[287] secblinken,condoleezzarice [287] condoleezzarice,statedept [32] comradestu,secblinken [32] henry,kissinger [30] war,criminals [29] statedept,anthony [29] anthony,bourdain [29] bourdain,henry [21] statedept,kissinger [15] tofolux3,secblinken Top Word Pairs in Tweet in G6:
[65] onu_es,statedept [63] hrw,onu_es [58] yanestrada_,hrw [47] #urgente,recibido [47] recibido,personalmente [47] personalmente,diferentes [47] diferentes,denuncias [47] denuncias,personas [47] personas,citadas [47] citadas,policía Top Word Pairs in Tweet in G7:
[77] statedept,presssec [77] presssec,potus [61] heathernauert,statedept [43] today,ve [43] ve,received [43] received,more [43] more,horrific [43] horrific,stories [43] stories,gruesome [43] gruesome,pictures Top Word Pairs in Tweet in G8:
[7] united,states [7] covid,19 [6] statedept,united [6] #thegenocider,tplf [5] terrorist,group [5] stateeur,statedept [5] samanthajpower,announced [5] announced,usaid [5] usaid,statedept [5] statedept,contributing Top Word Pairs in Tweet in G9:
[29] potus,vp [28] vp,statedept [25] statedept,thejusticedept [20] #genpact,potus [15] #sweatshopsuicides,#genpact [14] probe,#sweatshopsuicides [11] thejusticedept,#digitaltransformation [10] potus,usao_mie [10] usao_mie,civilrights [10] civilrights,thejusticedept Top Word Pairs in Tweet in G10:
[72] bananasnuts1,superjollygree1 [72] superjollygree1,giantmooseballs [67] giantmooseballs,herebedragons19 [44] novaseline4you,bananasnuts1 [42] lightersup9,blindedbythel13 [35] herebedragons19,thunderboom111 [35] thunderboom111,spicymooseballs [35] spicymooseballs,toddhassinger11 [35] toddhassinger11,donkeykongnut [35] donkeykongnut,thundeer20 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: