The graph represents a network of 1,840 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, 20 April 2022 at 12:47 UTC.
The requested start date was Wednesday, 20 April 2022 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 25-day, 6-hour, 8-minute period from Friday, 25 March 2022 at 15:16 UTC to Tuesday, 19 April 2022 at 21:24 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 : 1840
Unique Edges : 2848
Edges With Duplicates : 17101
Total Edges : 19949
Number of Edge Types : 5
Retweet : 5951
MentionsInRetweet : 10214
Mentions : 2711
Tweet : 995
Replies to : 78
Self-Loops : 1406
Reciprocated Vertex Pair Ratio : 0.0380577427821522
Reciprocated Edge Ratio : 0.0733249051833123
Connected Components : 155
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 1622
Maximum Edges in a Connected Component : 19620
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.261427
Graph Density : 0.00163634536728373
Modularity : 0.169495
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,840 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, 20 April 2022 at 12:47 UTC.
The requested start date was Wednesday, 20 April 2022 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 25-day, 6-hour, 8-minute period from Friday, 25 March 2022 at 15:16 UTC to Tuesday, 19 April 2022 at 21:24 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:
[851] #ai,#machinelearning [825] #selfdrivingcars,#ai [706] #ai,#iot [595] #iot,#5g [595] #bigdata,#analytics [554] #machinelearning,#bigdata [548] #iot,#iiot [487] #analytics,#datascience [479] sign,free [478] need,#job Top Word Pairs in Tweet in G1:
[243] #selfdrivingcars,#ai [162] #selfdrivingcars,#autonomousvehicles [138] #ai,#selfdrivingcars [124] #iot,#5g [120] top,tweets [120] tweets,enjoy [120] enjoy,#ai [117] #ai,#iot [92] #ai,#machinelearning [85] self,driving Top Word Pairs in Tweet in G2:
[517] #ai,#machinelearning [367] #bigdata,#analytics [343] #iot,#iiot [342] #machinelearning,#bigdata [338] #analytics,#datascience [261] need,#job [261] #job,sign [261] sign,free [261] free,middleman [261] middleman,#ai Top Word Pairs in Tweet in G3:
[507] #selfdrivingcars,#ai [492] #ai,#iot [442] #iot,#5g [252] #startup,#startups [249] #startups,#smartcity [234] #ai,#machinelearning [226] #autonomousvehicles,#autonomous [219] #robots,#startup [215] #travel,#tech [210] akwyz,glengilmore Top Word Pairs in Tweet in G4:
[157] #selfdrivingcars,#autonomos [148] #autonomos,#smartcities [109] range,#evs [109] #evs,major [109] major,highway [107] visualizing,range [107] cost,visualcap [107] visualcap,#selfdrivingcars [106] #smartcities,#ai [105] khulood_almani,visualizing Top Word Pairs in Tweet in G5:
[90] self,driving [62] #selfdrivingcars,#electriccars [60] #artificialintelligence,#ai [52] #autonomousvehicles,#selfdrivingcars [44] #selfdrivingcars,#autonomous [38] #electriccars,#electricvehicles [36] #ai,#deeplearning [33] driving,car [33] look,#autonomouscar [33] #autonomouscar,cnbc Top Word Pairs in Tweet in G6:
[34] self,driving [13] driving,cars [10] san,francisco [10] driving,car [9] #selfdrivingcars,#autonomousvehicles [7] autonomous,transportation [6] #selfdrivingcars,#automotive [6] cars,autonomous [6] transportation,explained [6] explained,two Top Word Pairs in Tweet in G7:
[12] self,driving [9] here's,updated [9] updated,visual [9] visual,chart [9] chart,saeintl [9] saeintl,levels [9] levels,driving [9] driving,automation [9] automation,standard [9] standard,self Top Word Pairs in Tweet in G8:
[33] experiencing,revolution [33] revolution,driverless [33] driverless,technology [33] technology,maybe [33] maybe,near [33] near,future [33] future,vehicles [33] vehicles,road [32] ai_mogo,experiencing [20] road,comp Top Word Pairs in Tweet in G9:
[45] #av,#selfdrivingcars [44] #autoindustry,#automobileindustry [37] #selfdrivingcars,#autoindustry [28] self,driving [28] forbes,#av [25] driving,cars [24] kar,go [24] go,vehicle [24] vehicle,deliver [24] deliver,medication Top Word Pairs in Tweet in G10:
[40] #electriccars,#cars [40] #cars,#smartcars [40] #smartcars,#selfdrivingcars [33] #selfdrivingcars,#rides [33] #futurecars,#speed [31] #rides,#whips [30] #whips,#futurecars [6] #speed,thenextweb [4] ars,technica [4] technica,#electriccars Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: