The graph represents a network of 6,935 Twitter users whose tweets in the requested range contained "boeing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 18 November 2021 at 04:28 UTC.
The requested start date was Thursday, 18 November 2021 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 2-day, 4-hour, 55-minute period from Monday, 15 November 2021 at 18:56 UTC to Wednesday, 17 November 2021 at 23:51 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 : 6935
Unique Edges : 5032
Edges With Duplicates : 10698
Total Edges : 15730
Number of Edge Types : 5
Retweet : 4191
MentionsInRetweet : 5751
Replies to : 843
Mentions : 2290
Tweet : 2655
Self-Loops : 2691
Reciprocated Vertex Pair Ratio : 0.0158013544018059
Reciprocated Edge Ratio : 0.0311111111111111
Connected Components : 1427
Single-Vertex Connected Components : 797
Maximum Vertices in a Connected Component : 3053
Maximum Edges in a Connected Component : 8939
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.947966
Graph Density : 0.000168443678152793
Modularity : 0.497895
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,935 Twitter users whose tweets in the requested range contained "boeing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 18 November 2021 at 04:28 UTC.
The requested start date was Thursday, 18 November 2021 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 2-day, 4-hour, 55-minute period from Monday, 15 November 2021 at 18:56 UTC to Wednesday, 17 November 2021 at 23:51 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 : boeing
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:
[865] boeing,737 [840] 737,max [580] akasa,air [478] 72,boeing [443] orders,72 [368] boeing,747 [359] air,orders [287] rakesh,jhunjhunwala [253] max,aircraft [234] boeing,777 Top Word Pairs in Tweet in G1:
[99] 737,max [90] boeing,737 [76] boeing,#777x [75] boeing,747 [60] canada,newest [60] boeing,777x [55] akasa,air [54] order,72 [53] 737,fleet [52] boeing,777 Top Word Pairs in Tweet in G2:
[156] boeing,737 [136] 737,max [123] united,states [98] boeing,737ng [96] 737ng,8as [92] frm,hrzn [92] hrzn,heading [91] air,force [89] #aboveputney,#adsb [89] #adsb,#tar1090 Top Word Pairs in Tweet in G3:
[245] 737,max [236] akasa,air [233] air,orders [224] orders,72 [179] boeing,737 [178] 72,boeing [170] max,aircraft [169] rakesh,jhunjhunwala [166] jhunjhunwala,backed [166] aircraft,launch Top Word Pairs in Tweet in G4:
[5] saeimedia,service [5] service,131 [5] 131,auxiliary [5] auxiliary,power [5] power,units [5] units,installed [5] installed,boeing [5] boeing,737 [5] 737,next [5] next,generation Top Word Pairs in Tweet in G5:
[57] see,photo [54] boeing,747 [40] airlines,boeing [33] boeing,707 [28] photo,credit [28] lufthansa,boeing [24] airport,photo [24] austerityairli1,lufthansa [23] boeing,727 [22] 747,430 Top Word Pairs in Tweet in G6:
[171] vif,15 [171] 15,11 [171] 11,21 [171] 21,succès [171] succès,#brexit [171] #brexit,shell [171] shell,transfère [171] transfère,siège [171] siège,depuis [171] depuis,pays Top Word Pairs in Tweet in G7:
[90] lion,air [89] boeing,built [88] three,years [88] years,lion [88] air,flight [88] flight,610 [88] 610,crashed [88] crashed,java [88] java,sea [88] sea,fresh Top Word Pairs in Tweet in G8:
[120] akasa,air [70] boeing,737 [68] 72,boeing [64] orders,72 [58] 737,max [51] rakesh,jhunjhunwala [37] investor,#rakeshjhunjhunwala [34] air,places [33] max,aircraft [30] air,orders Top Word Pairs in Tweet in G9:
[138] boeing,koch [138] koch,industries [138] industries,lockheed [138] lockheed,martin [138] martin,raytheon [138] raytheon,ups [138] ups,together [138] together,given [138] given,more [138] more,million Top Word Pairs in Tweet in G10:
[138] boeing,737s [137] losing,100 [137] 100,000 [137] 000,people [137] people,drug [137] drug,overdoses [137] overdoses,12 [137] 12,months [137] months,equivalent [137] equivalent,having Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: