The graph represents a network of 992 Twitter users whose recent tweets contained "#selfdrivingcars", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 13:33 UTC.
The tweets in the network were tweeted over the 822-day, 19-hour, 11-minute period from Saturday, 14 November 2020 at 05:33 UTC to Wednesday, 15 February 2023 at 00:44 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 992
Unique Edges : 1358
Edges With Duplicates : 12528
Total Edges : 13886
Number of Edge Types : 8
Retweet : 3596
MentionsInRetweet : 5153
Tweet : 220
Replies to : 69
MentionsInReplyTo : 693
Mentions : 4077
MentionsInQuote : 66
Quote : 12
Self-Loops : 3406
Reciprocated Vertex Pair Ratio : 0.0680672268907563
Reciprocated Edge Ratio : 0.127458693941778
Connected Components : 67
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 870
Maximum Edges in a Connected Component : 13708
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.871729
Graph Density : 0.00258577194752775
Modularity : 0.123867
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 992 Twitter users whose recent tweets contained "#selfdrivingcars", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 13:33 UTC.
The tweets in the network were tweeted over the 822-day, 19-hour, 11-minute period from Saturday, 14 November 2020 at 05:33 UTC to Wednesday, 15 February 2023 at 00:44 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[3027] #healthtech,#smartcity [3025] #csuite,#digitalhealth [3024] #digitalhealth,#web3 [3023] #smartcity,#5g [3019] #web3,#cx [3019] #vive2023,#healthtech [3017] #datascientist,#csuite [3013] #cx,#ehealth [3008] #5g,#datascientist [2060] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[192] #mwc2023,#mwc23 [187] #mwc23,#innovation [151] #tech,#5g [151] #smartcities,#iiot [151] #iiot,#tech [128] #5g,#mwc2023 [123] #web3,#metaverse [114] #tech,#innovation [110] explained,nanowerk [110] internet,things Top Word Pairs in Tweet in G2:
[119] #smartcity,#5g [119] #ai,#machinelearning [117] #datascientist,#csuite [117] chidambara09,#vive2023 [117] #5g,#datascientist [117] #web3,#cx [117] #healthtech,#smartcity [117] #csuite,#digitalhealth [117] #digitalhealth,#web3 [117] #vive2023,#healthtech Top Word Pairs in Tweet in G3:
[384] #healthtech,#smartcity [384] #csuite,#digitalhealth [384] #digitalhealth,#web3 [384] #datascientist,#csuite [383] #vive2023,#healthtech [382] #smartcity,#5g [382] #web3,#cx [382] #5g,#datascientist [381] chidambara09,#vive2023 [381] #cx,#ehealth Top Word Pairs in Tweet in G4:
[52] #selfdriving,#driverless [51] #driverlesscars,#autonomouscars [49] #cars,#automotive [48] #autonomouscars,#autonomousvehicles [46] #selfdrivingcars,#driverlesscars [46] #driverless,#cars [46] #autonomousvehicles,#selfdriving [39] self,driving [37] #automotive,#transport [25] #iot,#5g Top Word Pairs in Tweet in G5:
[2496] #healthtech,#smartcity [2494] #csuite,#digitalhealth [2493] #digitalhealth,#web3 [2492] #smartcity,#5g [2490] #web3,#cx [2490] #vive2023,#healthtech [2486] #datascientist,#csuite [2485] #cx,#ehealth [2479] #5g,#datascientist [1533] chidambara09,#vive2023 Top Word Pairs in Tweet in G6:
[18] self,driving [6] #tesla,#selfdrivingcars [6] driving,cars [5] driving,car [4] artificial,intelligence [4] #ai,#selfdrivingcars [3] fsd,beta [3] #selfdrivingcars,#digital [3] continue,reading [3] #digital,#machinelearning Top Word Pairs in Tweet in G7:
[8] parking,thanks [8] sostafacile,easy [8] latest,sostafacile [8] easy,parking [8] #meteo,#selfdrivingcars [2] thanks,heygiammattey [2] thanks,michal92b [2] heygiammattey,#meteo Top Word Pairs in Tweet in G8:
[24] #web3,#cx [24] #socialmedia,#mwc2023 [24] #insurtech,#himss23 [24] #csuite,#digitalhealth [24] #himss23,#traveltech [24] #ai,#frenchtech [24] #cx,#ehealth [24] #mwc23,#insurtech [24] #digitalhealth,#web3 [24] #finserv,#iiot Top Word Pairs in Tweet in G9:
[12] record,tourist [12] local,government [12] motor,witz [12] created,platform [12] government,hokkaido [12] jasmy,together [12] witz,created [12] toyota,motor [12] together,toyota [12] hokkaido,record Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: