The graph represents a network of 6,075 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, 06 October 2022 at 02:59 UTC.
The requested start date was Thursday, 06 October 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 2-day, 4-hour, 2-minute period from Monday, 03 October 2022 at 19:49 UTC to Wednesday, 05 October 2022 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 : 6075
Unique Edges : 3466
Edges With Duplicates : 15269
Total Edges : 18735
Number of Edge Types : 5
Mentions : 5430
Tweet : 3544
Replies to : 746
Retweet : 4208
MentionsInRetweet : 4807
Self-Loops : 3569
Reciprocated Vertex Pair Ratio : 0.0104033290653009
Reciprocated Edge Ratio : 0.0205924283225091
Connected Components : 1028
Single-Vertex Connected Components : 512
Maximum Vertices in a Connected Component : 2561
Maximum Edges in a Connected Component : 10090
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.038117
Graph Density : 0.000171086097255929
Modularity : 0.355119
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,075 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, 06 October 2022 at 02:59 UTC.
The requested start date was Thursday, 06 October 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 2-day, 4-hour, 2-minute period from Monday, 03 October 2022 at 19:49 UTC to Wednesday, 05 October 2022 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:
[1099] boeing,737 [538] 10,2022 [476] home,depot [471] 000,boeing [470] boeing,488 [470] 488,000 [470] 000,ups [470] ups,479 [470] 479,500 [463] 350,000 Top Word Pairs in Tweet in G1:
[104] #pilot,#pilotlife [103] #avgeek,#pilot [72] boeing,737 [65] boeing,747 [50] boeing,787 [39] vegas,airport [39] airport,2000 [39] 2000,#avgeek [38] #pilotlife,#boe [35] air,force Top Word Pairs in Tweet in G2:
[682] boeing,737 [522] 10,2022 [420] ryanair,boeing [405] 737,8as [395] reg,ei [380] times,#scotradar [235] 04,10 [219] heading,nne [179] 737,max [174] #boeing,737 Top Word Pairs in Tweet in G3:
[455] home,depot [452] depot,350 [452] 350,000 [452] 000,boeing [452] boeing,488 [452] 488,000 [452] 000,ups [452] ups,479 [452] 479,500 [452] 500,44 Top Word Pairs in Tweet in G4:
[114] #مهسا_امینی,#اعتصابات_سراسری [66] #مهسا_امینی,#opiran [60] جمهوری,اسلامی [50] gt,gt [42] #مهسا_امینی,#نیکا_شاکرمی [32] یکی,از [28] بعد,از [26] ج,ا [22] #مهسا_امینی,#mahsaamini [21] که,در Top Word Pairs in Tweet in G5:
[399] compassion,being [399] being,selectively [399] selectively,demonstrated [399] demonstrated,corporations [399] corporations,major [399] major,companies [399] companies,industries [399] industries,rightfully [194] mikikiasfaw,compassion [194] rightfully,rapidl Top Word Pairs in Tweet in G6:
[194] raytheon,boeing [189] aviation,parts [187] make,clear [187] clear,saudis [187] saudis,cut [187] cut,aviation [187] parts,supply [187] supply,stop [187] stop,raytheon [186] rokhanna,make Top Word Pairs in Tweet in G7:
[97] boeing,airbus [34] jet,compete [31] boeing,737 [31] compete,boeing [30] china,certifies [30] airbus,boeing [27] max,10 [24] 737,max [21] #boeing,#airbus [19] narrow,body Top Word Pairs in Tweet in G8:
[194] ceo,ในฝ [194] ในฝ,นสำหร [194] นสำหร,บการบ [194] บการบ,นไทย [194] นไทย,ของเราตอนน [194] ของเราตอนน,ใครก [194] ใครก,ได [194] ได,ไม [194] ไม,ต [194] ต,องส Top Word Pairs in Tweet in G9:
[86] gcu,gcuhavocs [86] gcuhavocs,metlife [86] metlife,aegon [86] aegon,icl_inc [86] icl_inc,meta [86] meta,facebook [86] facebook,palantirtech [86] palantirtech,textron [86] textron,amazon [86] amazon,nonnabox Top Word Pairs in Tweet in G10:
[119] usa,11 [119] 11,nagrania [119] nagrania,fbi [119] fbi,sprzed [119] sprzed,budynku [119] budynku,pentagonu [119] pentagonu,który [119] który,parę [119] parę,chwil [119] chwil,wcześniej 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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