The graph represents a network of 4,207 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, 16 August 2022 at 00:33 UTC.
The requested start date was Tuesday, 16 August 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 1-day, 1-hour, 58-minute period from Sunday, 14 August 2022 at 21:59 UTC to Monday, 15 August 2022 at 23:58 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 : 4207
Unique Edges : 11563
Edges With Duplicates : 38327
Total Edges : 49890
Number of Edge Types : 5
Retweet : 5810
MentionsInRetweet : 17790
Mentions : 24340
Replies to : 1910
Tweet : 40
Self-Loops : 179
Reciprocated Vertex Pair Ratio : 0.00714429462668545
Reciprocated Edge Ratio : 0.0141872314916575
Connected Components : 4
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 4204
Maximum Edges in a Connected Component : 49887
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.858508
Graph Density : 0.00113130291079074
Modularity : 0.296291
NodeXL Version : 1.0.1.503
Data Import : The graph represents a network of 4,207 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, 16 August 2022 at 00:33 UTC.
The requested start date was Tuesday, 16 August 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 1-day, 1-hour, 58-minute period from Sunday, 14 August 2022 at 21:59 UTC to Monday, 15 August 2022 at 23:58 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:
[1325] need,statedept [1143] respond,urgent [1143] urgent,health [1143] health,needs [1143] needs,greater [1134] launches,appeal [1134] appeal,respond [1127] greater,horn [1126] horn,therefore [1119] therefore,need Top Word Pairs in Tweet in G1:
[460] alex,saab [189] movimiento,#freealexsaab [186] rueda,prensa [179] statedept,secblinken [148] prensa,movimiento [139] diplomático,alex [130] statedept,statespeha [122] potus,statedept [112] nuestro,diplomático [111] joebiden,statedept Top Word Pairs in Tweet in G2:
[1317] need,statedept [1142] respond,urgent [1142] urgent,health [1142] health,needs [1142] needs,greater [1133] launches,appeal [1133] appeal,respond [1126] greater,horn [1125] horn,therefore [1118] therefore,need Top Word Pairs in Tweet in G3:
[69] statedept,secblinken [69] #freemazinnamdikanu,#freemazinnamdikanu [51] usagov,govuk [35] self,determination [35] determination,crime [35] secblinken,usagov [33] govuk,stop [31] mbuhari,die [31] die,long [31] long,time Top Word Pairs in Tweet in G4:
[330] lightersup9,novaseline4you [316] bananasnuts1,superjollygree1 [311] militarystart4,blindedbythel13 [306] blindedbythel13,lightersup9 [302] novaseline4you,bananasnuts1 [298] superjollygree1,giantmooseballs [249] fbi,cia [233] donkeykongnut,thundeer20 [233] thundeer20,bigfoothairyst1 [233] bigfoothairyst1,ohdeer77 Top Word Pairs in Tweet in G5:
[518] usembru,usaporusski [515] usaporusski,statedept [491] rusembusa,mfa_russia [416] mfa_russia,mod_russia [416] kremlinrussia_e,usembru [387] mod_russia,kremlinrussia_e [213] statedept,foxnews [203] tuckercarlson,fpleitgencnn [176] foxnews,tuckercarlson [141] statedept,fpleitgencnn Top Word Pairs in Tweet in G6:
[106] statedept,statedeptspox [59] statedeptspox,secblinken [43] military,mission [43] mission,afghanistan [41] 20,year [41] year,long [41] long,military [41] one,year [40] statedeptspox,20 [40] afghanistan,ended Top Word Pairs in Tweet in G7:
[17] statedept,whnsc [16] whnsc,orgiac [14] usabilaraby,statedept [14] statedept,secblinken [13] delivering,keynote [13] keynote,address [13] address,outside [13] outside,capitol [13] capitol,many [13] many,americans Top Word Pairs in Tweet in G8:
[25] senmarkey,repgaramendi [25] repgaramendi,replowenthal [25] replowenthal,repdonbeyer [25] repdonbeyer,repamata [25] repamata,statedept [22] mofa_taiwan,senmarkey [22] statedept,usasiapacific [17] statedept,sfrcdems [16] sfrcdems,reuters [14] usasiapacific,easiamediahub Top Word Pairs in Tweet in G9:
[3] dear,osce [3] osce,usosce [3] usosce,usambosce [3] usambosce,oscepa [3] oscepa,usembarmenia [3] usembarmenia,eu_armenia [3] eu_armenia,ambafr_armenie [3] ambafr_armenie,unarmenia [3] unarmenia,statedept [3] statedept,secblinken Top Word Pairs in Tweet in G10:
[15] amnestysasia,hrcp87 [10] dawn_news,altafhussain_90 [10] altafhussain_90,rsf_inter [10] rsf_inter,rsf_en [10] rsf_en,officialpfuj [10] officialpfuj,unhumanrights [10] unhumanrights,un_hrc [9] un_hrc,amnestysasia [8] ndmehsan,dawn_news [6] ndmehsan,xadeejournalist 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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