The graph represents a network of 2,500 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 September 2020 at 13:06 UTC.
The requested start date was Wednesday, 02 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 16-day, 4-hour, 48-minute period from Sunday, 16 August 2020 at 18:30 UTC to Tuesday, 01 September 2020 at 23:19 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 : 2500
Unique Edges : 4008
Edges With Duplicates : 14879
Total Edges : 18887
Number of Edge Types : 5
Retweet : 6226
MentionsInRetweet : 10231
Mentions : 1492
Replies to : 47
Tweet : 891
Self-Loops : 1058
Reciprocated Vertex Pair Ratio : 0.0206663854913539
Reciprocated Edge Ratio : 0.040495867768595
Connected Components : 181
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 2186
Maximum Edges in a Connected Component : 18484
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.323782
Graph Density : 0.00116206482593037
Modularity : 0.253618
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,500 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 September 2020 at 13:06 UTC.
The requested start date was Wednesday, 02 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 16-day, 4-hour, 48-minute period from Sunday, 16 August 2020 at 18:30 UTC to Tuesday, 01 September 2020 at 23:19 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 : #selfdrivingcars
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:
[1476] #bigdata,#analytics [1473] #analytics,#datascience [1335] #ai,#iot [1174] #python,#rstats [1163] #iiot,#python [1091] #iot,#iiot [972] #datascience,#ai [862] self,driving [796] #ai,#machinelearning [571] #javascript,#reactjs Top Word Pairs in Tweet in G1:
[379] self,driving [218] #ai,#iot [137] driving,cars [118] read,more [109] #selfdrivingcars,#ai [100] read,add [95] frronconi,alvinfoo [94] cc,frronconi [79] add,#selfdrivingcars [76] #bigdata,#analytics Top Word Pairs in Tweet in G2:
[1387] #bigdata,#analytics [1382] #analytics,#datascience [1106] #python,#rstats [1100] #iiot,#python [1008] #iot,#iiot [1008] #ai,#iot [913] #datascience,#ai [746] #ai,#machinelearning [535] #javascript,#reactjs [438] #machinelearning,#deeplearning Top Word Pairs in Tweet in G3:
[253] gt,gt [122] self,driving [91] mikequindazzi,#ai [83] south,korea [77] #ai,#iot [75] updated,visual [75] visual,chart [75] chart,saeintl [75] saeintl,levels [75] levels,driving Top Word Pairs in Tweet in G4:
[61] top,10 [58] 10,car [58] car,producing [58] producing,countries [58] countries,1950 [58] 1950,2019 [58] 2019,#automotive [58] #automotive,industry [58] industry,changed [58] changed,last Top Word Pairs in Tweet in G5:
[27] self,driving [16] driving,cars [6] testing,#selfdrivingcars [5] interesting,perspectives [5] perspectives,#autonomousvehicles [5] #autonomousvehicles,challenges [5] challenges,testing [5] #selfdrivingcars,ensure [5] #selfdrivingcars,#autonomousvehicles [4] #driverlesscars,#selfdrivingcars Top Word Pairs in Tweet in G6:
[41] robotics,expert [41] expert,sebastianthrun [41] sebastianthrun,convinced [41] convinced,#artificialintelligence [41] #artificialintelligence,revolutionize [41] revolutionize,everyday [41] everyday,lives [41] lives,find [41] find,more [40] boschglobal,robotics Top Word Pairs in Tweet in G7:
[37] self,driving [34] hana_elsayyed,self [34] driving,excavators [34] excavators,construction [34] construction,sites [34] sites,#futureofwork [34] #futureofwork,#construction [34] #construction,#innovation [34] #innovation,#selfdrivingcars [34] #selfdrivingcars,akwyz Top Word Pairs in Tweet in G8:
[9] enricomolinari,jet [9] jet,suit [9] suit,uses [9] uses,over [9] over,1000bhp [9] 1000bhp,engine [9] engine,power [9] power,uniladtech [9] uniladtech,#robotics [9] #robotics,#ai Top Word Pairs in Tweet in G9:
[5] tesla,elonmusk [4] features,help [4] help,reduce [4] reduce,crashes [4] crashes,substitute [4] substitute,driver [4] driver,attention [4] attention,tesla [4] elonmusk,ncshp [3] nashenterprise,'autopilot' Top Word Pairs in Tweet in G10:
[6] wireless,industry [6] industry,continues [6] continues,strong [6] strong,performance [6] performance,jeff [6] jeff,kagan [6] kagan,equitiesinc [6] equitiesinc,#wireless [5] jeffkagan,wireless [5] #wireless,#wirelessindust Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: