The graph represents a network of 3,370 Twitter users whose tweets in the requested range contained "General Dynamics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 December 2022 at 05:03 UTC.
The requested start date was Tuesday, 20 December 2022 at 01:01 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 13-day, 22-hour, 4-minute period from Tuesday, 06 December 2022 at 01:30 UTC to Monday, 19 December 2022 at 23:34 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 : 3370
Unique Edges : 1399
Edges With Duplicates : 4349
Total Edges : 5748
Number of Edge Types : 5
Retweet : 1854
MentionsInRetweet : 2023
Mentions : 485
Tweet : 969
Replies to : 417
Self-Loops : 979
Reciprocated Vertex Pair Ratio : 0.00817051509769094
Reciprocated Edge Ratio : 0.0162085976039464
Connected Components : 754
Single-Vertex Connected Components : 303
Maximum Vertices in a Connected Component : 929
Maximum Edges in a Connected Component : 1887
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.845759
Graph Density : 0.000249966310037495
Modularity : 0.516997
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,370 Twitter users whose tweets in the requested range contained "General Dynamics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 December 2022 at 05:03 UTC.
The requested start date was Tuesday, 20 December 2022 at 01:01 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 13-day, 22-hour, 4-minute period from Tuesday, 06 December 2022 at 01:30 UTC to Monday, 19 December 2022 at 23:34 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 : General Dynamics
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:
[1727] general,dynamics [499] largest,arms [475] lockheed,martin [358] fighting,falcon [306] boeing,33 [306] raytheon,41 [306] 60,34b [306] 41,85b [306] martin,60 [305] arms,producing Top Word Pairs in Tweet in G1:
[576] general,dynamics [303] fighting,falcon [266] belgian,air [259] 16am,fighting [258] dynamics,16am [258] component,general [258] air,component [225] falcon,fa [161] try,tracking [161] location,unknown Top Word Pairs in Tweet in G2:
[275] 41,85b [275] 60,34b [275] 33,42b [275] martin,60 [275] producing,companies [275] boeing,33 [275] largest,arms [275] lockheed,martin [275] raytheon,41 [275] arms,producing Top Word Pairs in Tweet in G3:
[190] largest,arms [188] weapons,sales [188] past,year [188] companies,hit [188] 100,largest [188] 50,sales [188] year,50 [188] hit,592 [188] 592,billion [188] arms,companies Top Word Pairs in Tweet in G4:
[113] manage,companies [113] invest,manage [113] such,lockheed [113] people,those [113] those,invest [113] merchant,death [113] companies,such [113] mean,people [113] death,mean [112] s_m_marandi,merchant Top Word Pairs in Tweet in G5:
[81] general,dynamics [80] covid,19 [80] 2020,cdc [80] vaccines,contract [80] handle,vaers [80] late,august [80] contracted,general [80] reports,covid [80] cdc,contracted [80] vaers,reports Top Word Pairs in Tweet in G6:
[72] erde,40 [72] sitz,usa [72] 40,sitz [72] usa,die [71] danieleganser,krieg [60] geschã,ft [60] rã,stungskonzernen [60] ssten,waffâ [60] stungskonzernen,erde [60] die,grã Top Word Pairs in Tweet in G7:
[104] general,dynamics [45] fighting,falcon [41] 16,images [41] more,16 [37] tfs,general [32] aviationphotoco,usaf [28] violetpilot1,general [28] 16a,fighting [28] dynamics,16a [24] dynamics,16 Top Word Pairs in Tweet in G8:
[64] réponse,requête [64] aider,surveillance [64] engagées,aider [64] entreprises,engagées [64] foia,contrats [64] cdc,entreprises [64] requête,foia [64] contrats,cdc [63] surveillance,sécuri [63] statchriscotton,réponse Top Word Pairs in Tweet in G9:
[40] general,dynamics [14] land,systems [14] dynamics,land [11] thenatlinterest,general [10] block,52 [10] afb,2015 [10] souda,afb [9] modernization,strategy [9] seeking,support [9] strategy,vision Top Word Pairs in Tweet in G10:
[62] back,late [62] dynamics,made [62] know,ruggedized [62] gd2000,far [62] palmtop,looks [62] far,know [62] made,itronix [62] ruggedized,palmtop [62] late,2000's [62] 2000's,general Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: