The graph represents a network of 11,854 Twitter users whose recent tweets contained "(Uber OR Lyft OR "free ride" OR rideshare) AND (vaccine OR vaccination OR vaccinated OR moderna OR pfizer OR J&J OR "johnson and johnson" OR dose OR vax OR "covid shot" OR vaxed) -africa", 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 Wednesday, 09 June 2021 at 20:12 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 28-minute period from Tuesday, 01 June 2021 at 15:27 UTC to Wednesday, 09 June 2021 at 19:55 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 : 11854
Unique Edges : 12797
Edges With Duplicates : 1501
Total Edges : 14298
Number of Edge Types : 5
Replies to : 1233
Mentions : 1723
Retweet : 8797
Tweet : 1456
MentionsInRetweet : 1089
Self-Loops : 1481
Reciprocated Vertex Pair Ratio : 0.00745144005358339
Reciprocated Edge Ratio : 0.014792653536109
Connected Components : 1723
Single-Vertex Connected Components : 935
Maximum Vertices in a Connected Component : 8137
Maximum Edges in a Connected Component : 10458
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.528893
Graph Density : 8.56407987897296E-05
Modularity : 0.774904
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,854 Twitter users whose recent tweets contained "(Uber OR Lyft OR "free ride" OR rideshare) AND (vaccine OR vaccination OR vaccinated OR moderna OR pfizer OR J&J OR "johnson and johnson" OR dose OR vax OR "covid shot" OR vaxed) -africa", 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 Wednesday, 09 June 2021 at 20:12 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 28-minute period from Tuesday, 01 June 2021 at 15:27 UTC to Wednesday, 09 June 2021 at 19:55 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 : (Uber OR Lyft OR "free ride" OR rideshare) AND (vaccine OR vaccination OR vaccinated OR moderna OR pfizer OR J&J OR "johnson and johnson" OR dose OR vax OR "covid shot" OR vaxed) -africa
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3783] uber,lyft [2044] child,care [1991] text,zip [1991] zip,code [1988] code,438829 [1815] care,shot [1812] le,uber [1807] lyft,rides [1804] dans,le [1760] faire,un Top Word Pairs in Tweet in G1:
[1543] uber,lyft [1540] lyft,rides [1528] text,zip [1528] zip,code [1528] code,438829 [1528] 438829,location [1528] location,shot [1528] shot,appointment [1528] appointment,24 [1528] 24,vax Top Word Pairs in Tweet in G2:
[1735] le,uber [1733] la,spa [1733] croquettes,et [1733] dans,le [1732] bah,jsuis [1732] jsuis,passée [1732] passée,la [1732] spa,faire [1732] faire,un [1732] un,de Top Word Pairs in Tweet in G3:
[305] july,4th [291] vaccine,appointments [283] provide,rides [283] rides,vaccine [278] white,house [277] uber,app [272] house,provide [271] lack,transportation [270] uber,partnered [270] partnered,white Top Word Pairs in Tweet in G4:
[198] uber,eats [118] uber,eat [65] un,uber [50] uber,driver [46] sur,uber [42] uber,lyft [37] je,suis [36] covid,19 [34] le,uber [32] ubereats,ウーバーイーツ配達員募集中 Top Word Pairs in Tweet in G5:
[618] vaccination,site [552] uber,lyft [477] site,uber [476] rides,vaccination [474] 90,americans [474] americans,live [474] live,miles [474] miles,vaccination [474] lyft,continuing [474] continuing,offer Top Word Pairs in Tweet in G6:
[620] uber,lyft [584] vax,site [583] july,4th [581] biden,declaring [581] declaring,monthlong [581] monthlong,effort [581] effort,pull [581] pull,stops [581] stops,70 [581] 70,americans Top Word Pairs in Tweet in G7:
[332] uber,lyft [311] vaccination,site [309] easier,vaccinated [309] 90,americans [309] americans,live [309] live,miles [309] miles,vaccination [309] site,uber [309] lyft,continuing [309] continuing,offer Top Word Pairs in Tweet in G8:
[364] spoke,punjabi [182] uber,work [182] work,driven [182] driven,gentleman [182] gentleman,spoke [182] punjabi,booked [182] booked,1st [182] 1st,dose [182] dose,#covid19 [182] #covid19,vaccine Top Word Pairs in Tweet in G9:
[195] child,care [188] vaccination,site [174] covid,19 [174] 19,vaccines [174] vaccines,save [174] save,lives [174] lives,easier [174] easier,convenient [174] convenient,ride [174] ride,vaccination Top Word Pairs in Tweet in G10:
[114] uber,lyft [105] covid,19 [105] lyft,offer [105] vaccination,sites [104] offer,america [104] america,rides [98] spread,word [97] word,24 [97] 24,july [97] july,uber Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: