The graph represents a network of 3,748 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, 13 September 2022 at 00:33 UTC.
The requested start date was Tuesday, 13 September 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 22-hour, 31-minute period from Monday, 12 September 2022 at 00:21 UTC to Monday, 12 September 2022 at 22:52 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 : 3748
Unique Edges : 11631
Edges With Duplicates : 26411
Total Edges : 38042
Number of Edge Types : 5
Retweet : 6373
MentionsInRetweet : 19919
Mentions : 10576
Replies to : 1159
Tweet : 15
Self-Loops : 85
Reciprocated Vertex Pair Ratio : 0.00306211723534558
Reciprocated Edge Ratio : 0.00610553859572612
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 3736
Maximum Edges in a Connected Component : 38025
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.733448
Graph Density : 0.00146947867792633
Modularity : 0.343968
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,748 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, 13 September 2022 at 00:33 UTC.
The requested start date was Tuesday, 13 September 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 22-hour, 31-minute period from Monday, 12 September 2022 at 00:21 UTC to Monday, 12 September 2022 at 22:52 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:
[2215] delivery,humanitarian [2160] whitehouse,statedept [2154] humanitarian,supply [2153] remind,delivery [2146] supply,world [2138] statedept,remind [2137] world,tigray [1858] tigray,suspended [770] statedept,eucouncil [600] suspended,aug Top Word Pairs in Tweet in G1:
[2119] delivery,humanitarian [2062] whitehouse,statedept [2059] humanitarian,supply [2058] remind,delivery [2051] supply,world [2043] statedept,remind [2042] world,tigray [1770] tigray,suspended [751] statedept,eucouncil [566] suspended,aug Top Word Pairs in Tweet in G2:
[87] whitehouse,statedept [87] statedept,remind [87] remind,delivery [87] delivery,humanitarian [87] humanitarian,supply [87] supply,world [87] world,tigray [80] tigray,suspended [66] climate,crisis [63] bold,action Top Word Pairs in Tweet in G3:
[388] alex,saab [132] diplomático,alex [111] statedept,statespeha [86] potus,statedept [70] secblinken,statedept [55] medidas,coercitivas [53] statedept,secblinken [49] statespeha,usembassyve [49] saab,#mundoporalex [43] conjunto,agresiones Top Word Pairs in Tweet in G4:
[381] mfa_russia,statedept [368] rusembusa,mfa_russia [365] nytimes,wsj [363] statedept,russia [363] russia,russiabeyond [363] russiabeyond,shaolintom [363] shaolintom,tuckercarlson [350] tuckercarlson,nytimes [317] wsj,natgeotv [36] natgeotv,historyatstate Top Word Pairs in Tweet in G5:
[74] powerusaid,statedept [73] statedept,ablinken [70] jakejsullivan,usambun [68] potus,powerusaid [64] ablinken,ambassadorrice [64] ambassadorrice,jakejsullivan [56] almariam1,potus [46] usambun,asstsecstateaf [37] statedept,secblinken [31] getfactet,statedept Top Word Pairs in Tweet in G6:
[11] statedept,secblinken [8] international,community [6] days,pain [6] pain,agony [6] agony,#abiyahmedali [6] #abiyahmedali,allies [6] allies,committing [6] committing,genocide [6] genocide,#tigray [6] #tigray,statedept Top Word Pairs in Tweet in G7:
[10] uscis,statedept [6] statedept,thejusticedept [5] ead,ap [5] thejusticedept,statedept [3] cia,newyorkfbi [3] newyorkfbi,statedept [3] uscisdirector,uscis [3] uscis,#ead [3] #ead,ap [3] january6thcmte,statedept Top Word Pairs in Tweet in G8:
[37] #azerbaijan,started [37] started,intensive [37] intensive,attacks [37] attacks,various [37] various,areas [37] areas,south [37] south,eastern [37] eastern,parts [37] parts,#armenia [37] #armenia,sovereignty Top Word Pairs in Tweet in G9:
[15] #freemazinnamdikanu,#freemazinnamdikanu [5] self,determination [5] determination,crime [5] crime,#freemazinnamdikanu [4] usembarmenia,statedept [4] statedept,philip [4] philip,reeker [4] reeker,result [4] result,double [4] double,standards Top Word Pairs in Tweet in G10:
[57] nnauye_nape,lgbteqcaucus [57] lgbteqcaucus,victoryfund [57] victoryfund,americabloggay [57] americabloggay,health_lgbtq [56] health_lgbtq,statedept [55] tanzanialeaks,nnauye_nape [27] siadevinci,tanzanialeaks [16] statedept,usembassytz [4] zulunatal_,tanzanialeaks [3] zeduke5,tanzanialeaks 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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