The graph represents a network of 15,775 Twitter users whose recent tweets contained "("Flying" OR "Flights" OR "Flight" OR "Air travel" OR "Airlines") AND ("coronavirus" OR "covid" OR "covid19" OR "pandemic")", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 07 March 2021 at 19:19 UTC.
The tweets in the network were tweeted over the 4-day, 5-hour, 30-minute period from Wednesday, 03 March 2021 at 12:30 UTC to Sunday, 07 March 2021 at 18:01 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 : 15775
Unique Edges : 17576
Edges With Duplicates : 2630
Total Edges : 20206
Number of Edge Types : 5
Tweet : 6205
Retweet : 11113
Mentions : 874
Replies to : 726
MentionsInRetweet : 1288
Self-Loops : 6303
Reciprocated Vertex Pair Ratio : 0.0130683989300726
Reciprocated Edge Ratio : 0.0257996378998189
Connected Components : 4598
Single-Vertex Connected Components : 3714
Maximum Vertices in a Connected Component : 7926
Maximum Edges in a Connected Component : 11083
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.681398
Graph Density : 5.32722807918585E-05
Modularity : 0.741743
NodeXL Version : 1.0.1.444
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=250305
Data Import : The graph represents a network of 15,775 Twitter users whose recent tweets contained "("Flying" OR "Flights" OR "Flight" OR "Air travel" OR "Airlines") AND ("coronavirus" OR "covid" OR "covid19" OR "pandemic")", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 07 March 2021 at 19:19 UTC.
The tweets in the network were tweeted over the 4-day, 5-hour, 30-minute period from Wednesday, 03 March 2021 at 12:30 UTC to Sunday, 07 March 2021 at 18:01 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 : TwitterSearch
Graph Term : ("Flying" OR "Flights" OR "Flight" OR "Air travel" OR "Airlines") AND ("coronavirus" OR "covid" OR "covid19" OR "pandemic")
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:
[4621] covid,19 [1126] board,flight [1092] 19,positive [1067] united,states [1056] flight,usa [1053] test,covid [1046] nursing,home [1045] coronavirus,test [1043] allowed,country [1041] citizens,board Top Word Pairs in Tweet in G1:
[630] covid,19 [143] covid,test [136] air,travel [68] flight,covid [59] flying,covid [58] covid,positive [57] flight,attendant [56] flying,fuck [54] international,flights [47] english,travellers Top Word Pairs in Tweet in G2:
[977] covid,19 [976] citizens,board [976] board,flight [976] flight,usa [976] usa,coronavirus [976] coronavirus,test [976] test,covid [976] 19,positive [976] positive,migrants [976] migrants,allowed Top Word Pairs in Tweet in G3:
[758] brazil,variant [756] flight,aberdeen [743] passengers,flight [743] aberdeen,people [743] people,tested [743] tested,positive [743] positive,brazil [743] variant,covid [743] covid,traced [743] traced,wtf Top Word Pairs in Tweet in G4:
[775] asylum,seekers [684] note,negative [684] negative,test [684] test,boarding [684] boarding,flight [684] flight,reenter [684] reenter,being [684] being,applied [684] applied,illegal [684] illegal,entrants Top Word Pairs in Tweet in G5:
[414] covid,test [243] flight,cancelled [242] covid,19 [209] flight,covid [206] pre,post [206] post,flight [206] 14,home [206] home,quarantine [188] test,hotel [188] quarantine,covid Top Word Pairs in Tweet in G6:
[564] flying,sa [563] nsw,police [563] police,claim [563] claim,interview [563] interview,victim [563] victim,alleged [563] alleged,porter [563] porter,rape [563] rape,covid [563] covid,prevented Top Word Pairs in Tweet in G7:
[323] air,canada [292] covid,19 [281] canada,agreed [281] agreed,refund [278] flights,cancelled [221] refund,customers [218] customers,lost [218] lost,money [218] money,flights [204] cancelled,covid Top Word Pairs in Tweet in G8:
[159] covid,19 [33] vaccine,flights [28] week,#airfranceklm [28] #airfranceklm,martinair [28] martinair,cargo [28] cargo,operated [28] operated,unicef [28] unicef,covid19 [28] covid19,vaccine [28] flights,manila Top Word Pairs in Tweet in G9:
[277] covid,19 [253] fauci,warned [253] warned,march [253] march,2020 [253] 2020,potential [253] potential,false [253] false,positives [253] positives,covid [253] 19,tests [253] tests,news Top Word Pairs in Tweet in G10:
[141] covid,19 [108] flying,mammals [108] mammals,ideal [108] ideal,hosts [108] hosts,disease [108] disease,causing [108] causing,viruses [93] quarantine,passengers [93] passengers,indirect [92] portugal,quarantine Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: