The graph represents a network of 7,128 Twitter users whose tweets in the requested range contained "SAIC OR Leidos", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 May 2022 at 03:40 UTC.
The requested start date was Tuesday, 10 May 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 9-day, 21-hour, 22-minute period from Saturday, 30 April 2022 at 02:37 UTC to Tuesday, 10 May 2022 at 00:00 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 : 7128
Unique Edges : 3351
Edges With Duplicates : 9939
Total Edges : 13290
Number of Edge Types : 5
Retweet : 3975
MentionsInRetweet : 4376
Replies to : 620
Mentions : 1749
Tweet : 2570
Self-Loops : 2645
Reciprocated Vertex Pair Ratio : 0.0101813553929367
Reciprocated Edge Ratio : 0.0201574803149606
Connected Components : 1693
Single-Vertex Connected Components : 917
Maximum Vertices in a Connected Component : 1475
Maximum Edges in a Connected Component : 2962
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.159292
Graph Density : 0.000124996909525229
Modularity : 0.502865
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,128 Twitter users whose tweets in the requested range contained "SAIC OR Leidos", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 May 2022 at 03:40 UTC.
The requested start date was Tuesday, 10 May 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 9-day, 21-hour, 22-minute period from Saturday, 30 April 2022 at 02:37 UTC to Tuesday, 10 May 2022 at 00:00 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 : SAIC OR Leidos
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:
[1846] libros,leídos [1468] leídos,recomendados [1441] recomendados,namjoon [1409] zqlibritos,libros [572] link,bio [490] saic,audi [346] click,link [287] beto,coral [287] coral,don [287] don,izquierdo Top Word Pairs in Tweet in G1:
[1438] recomendados,namjoon [1430] libros,leídos [1406] zqlibritos,libros [1406] leídos,recomendados [32] ë,ªâ [32] ªâ,libros [32] libros,leã [32] leã,recomendados [32] namjoon,ª [31] zqlibritos,ë Top Word Pairs in Tweet in G2:
[226] link,bio [137] click,link [107] libros,leídos [77] libros,aparentamos [77] aparentamos,haber [75] libros,actuales [74] novelas,recomendadas [74] recomendadas,80 [74] 80,libros [74] recomendados,leer Top Word Pairs in Tweet in G3:
[479] saic,audi [162] 2022,10 [162] 10,05am [162] 05am,saic [162] audi,prepare [162] prepare,awesome [162] awesome,car [162] car,handover [162] handover,ceremony [162] ceremony,xfx Top Word Pairs in Tweet in G4:
[286] beto,coral [286] coral,don [286] don,izquierdo [286] impuro,lalis [286] lalis,parecen [286] parecen,fascinantes [286] fascinantes,honestamente [271] probablementejc,fenã [271] fenã,beto [271] izquierdo,fã Top Word Pairs in Tweet in G5:
[228] pone,nerviosa [228] nerviosa,abrir [228] abrir,whatsapp [228] whatsapp,web [228] web,sincronice [228] sincronice,conversaciones [228] conversaciones,aparezcan [228] aparezcan,56mil [228] 56mil,chats [228] chats,leídos Top Word Pairs in Tweet in G6:
[181] estudio,mide [181] mide,número [181] número,páginas [181] páginas,leídas [181] leídas,noche [181] noche,cantidad [181] cantidad,libros [181] libros,leídos [180] cesarlopezmusic,estudio [180] leídos,semestr Top Word Pairs in Tweet in G7:
[334] link,bio [201] click,link [121] saic,saicjobs [119] #it,#informationtechnology [100] bio,apply [91] saic,hiring [83] software,engineer [64] see,latest [60] #software,job [58] engineer,saic Top Word Pairs in Tweet in G8:
[22] learn,more [17] #teamleidos,bubbawallace [17] bubbawallace,go [17] go,way [17] way,back [17] back,œ [17] œ,ahead [17] ahead,weekend's [17] weekend's,monstermile [17] monstermile,nascar Top Word Pairs in Tweet in G9:
[11] poet,diane [11] diane,seuss [8] educator,theilgaard [8] theilgaard,watts [8] watts,born [8] born,yesterday [8] yesterday,1893 [8] 1893,taught [8] taught,mortonarboretum [8] mortonarboretum,authored Top Word Pairs in Tweet in G10:
[98] help,healthcare [98] healthcare,organization [98] organization,share [98] share,aggregate [98] aggregate,world [98] world,patient [98] patient,data [98] data,improve [98] improve,outcomes [98] outcomes,see Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: