The graph represents a network of 1,888 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, 11 November 2020 at 13:49 UTC.
The requested start date was Wednesday, 11 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 11-day, 15-hour, 9-minute period from Friday, 30 October 2020 at 09:12 UTC to Wednesday, 11 November 2020 at 00:22 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 : 1888
Unique Edges : 2756
Edges With Duplicates : 15090
Total Edges : 17846
Number of Edge Types : 5
MentionsInRetweet : 9224
Mentions : 1366
Retweet : 6375
Tweet : 863
Replies to : 18
Self-Loops : 1128
Reciprocated Vertex Pair Ratio : 0.0297439759036145
Reciprocated Edge Ratio : 0.0577696526508227
Connected Components : 131
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 1697
Maximum Edges in a Connected Component : 17620
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.305556
Graph Density : 0.00153537136338732
Modularity : 0.21003
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,888 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, 11 November 2020 at 13:49 UTC.
The requested start date was Wednesday, 11 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 11-day, 15-hour, 9-minute period from Friday, 30 October 2020 at 09:12 UTC to Wednesday, 11 November 2020 at 00:22 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:
[1541] #iot,#iiot [1405] #rstats,#reactjs [794] #datascientist,#selfdrivingcars [757] #ai,#iot [757] #reactjs,#iot [745] #bigdata,#analytics [743] #analytics,#machinelearning [730] #selfdrivingcars,#bigdata [711] #ai,#machinelearning [675] #analytics,#ai Top Word Pairs in Tweet in G1:
[1480] #iot,#iiot [1361] #rstats,#reactjs [765] #datascientist,#selfdrivingcars [738] #reactjs,#iot [713] #bigdata,#analytics [711] #analytics,#machinelearning [702] #selfdrivingcars,#bigdata [657] #analytics,#ai [638] #ai,#machinelearning [559] #javascript,#rstats Top Word Pairs in Tweet in G2:
[140] #autonomousvehicles,#selfdrivingcars [137] bring,whole [127] whole,range [127] range,benefits [126] #selfdrivingcars,bring [125] benefits,wef [123] wef,mt [122] mt,yourtechdiet [113] mvollmer1,#autonomousvehicles [64] #ai,#iot Top Word Pairs in Tweet in G3:
[275] #selfdrivingcars,#ai [268] #ai,#iot [225] #iot,#5g [188] self,driving [188] #autonomousvehicles,#selfdriving [168] read,add [165] #driverless,#driverlesscars [165] read,more [152] #5g,#autonomousvehicles [147] add,#selfdrivingcars Top Word Pairs in Tweet in G4:
[128] flying,cars [128] cars,feel [128] feel,taking [107] #tesla,#spacex [107] #spacex,elonmusk [107] elonmusk,#iot [107] #iot,#dl [107] #dl,#selfdrivingcars [106] taking,#tesla [104] thefuturisthq,flying Top Word Pairs in Tweet in G5:
[21] self,driving [11] #selfdriving,#selfdrivingcars [9] #selfdrivingcars,#ai [7] driving,cars [7] #africa,first [7] first,#intelligentdrivertestingsystem [7] #intelligentdrivertestingsystem,launched [7] launched,#botswana [7] #botswana,#selfdriving [7] #ai,#artificialintelligence Top Word Pairs in Tweet in G6:
[47] self,driving [46] autonomous,delivery [43] jeroenbartelse,autonomous [27] delivery,vehicles [27] vehicles,powered [27] powered,alibaba [27] alibaba,cainiao [27] cainiao,ready [27] ready,chinaâ [27] chinaâ,upcoming Top Word Pairs in Tweet in G7:
[30] #ai,#iot [29] ways,#artificialintelligence [29] wef,#ai [28] #iot,#selfdrivingcars [27] ronald_vanloon,ways [27] #artificialintelligence,solve [27] solve,world's [27] world's,biggest [27] biggest,issues [27] issues,wef Top Word Pairs in Tweet in G8:
[27] #artificialintelligence,#machinelearning [27] #machinelearning,#deeplearning [26] #ai,#artificialintelligence [23] #deeplearning,#selfdrivingcars [23] #selfdrivingcars,#humour [20] #future,#ai [20] #humour,#humor [20] #humor,#tech [20] #tech,#geek [19] nigewillson,#future Top Word Pairs in Tweet in G9:
[237] read,more [208] more,#autonomousvehicles [201] #autonomousvehicles,#autopilot [200] #autopilot,#cars [200] #cars,#cities [200] #cities,#drones [200] #drones,#future [200] #future,#selfdriving [200] #selfdriving,#selfdrivingairplanes [200] #selfdrivingairplanes,#selfdrivingcars Top Word Pairs in Tweet in G10:
[16] introduction,deep [16] deep,learning [16] learning,self [16] self,driving [16] driving,cars [16] cars,#artificialintelligence [16] #artificialintelligence,#selfdrivingcars [15] mcqubit,introduction [14] #selfdrivingcars,#machinelâ [5] spookier,safer Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: