The graph represents a network of 1,543 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, 23 February 2022 at 13:47 UTC.
The requested start date was Wednesday, 23 February 2022 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 13-day, 5-hour, 31-minute period from Wednesday, 09 February 2022 at 14:35 UTC to Tuesday, 22 February 2022 at 20:06 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 : 1543
Unique Edges : 2259
Edges With Duplicates : 17120
Total Edges : 19379
Number of Edge Types : 5
Retweet : 6358
MentionsInRetweet : 10651
Mentions : 1536
Tweet : 767
Replies to : 67
Self-Loops : 1075
Reciprocated Vertex Pair Ratio : 0.0266953713670614
Reciprocated Edge Ratio : 0.0520025162507863
Connected Components : 123
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 1330
Maximum Edges in a Connected Component : 19093
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.325342
Graph Density : 0.00200436597898715
Modularity : 0.153208
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,543 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, 23 February 2022 at 13:47 UTC.
The requested start date was Wednesday, 23 February 2022 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 13-day, 5-hour, 31-minute period from Wednesday, 09 February 2022 at 14:35 UTC to Tuesday, 22 February 2022 at 20:06 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:
[2109] #datascientist,#bigdata [2052] #ai,#datascientist [2022] #bigdata,#machinelearning [1236] #machinelearning,#selfdrivingcars [822] #python,#coding [816] #ai,#transport [804] #transport,#python [753] sign,middleman [753] middleman,free [753] free,charge Top Word Pairs in Tweet in G1:
[1607] #datascientist,#bigdata [1558] #ai,#datascientist [1547] #bigdata,#machinelearning [907] #machinelearning,#selfdrivingcars [682] #ai,#transport [679] #python,#coding [673] #transport,#python [628] sign,middleman [628] middleman,free [628] free,charge Top Word Pairs in Tweet in G2:
[200] #ai,#iot [181] #iot,#5g [145] #selfdrivingcars,#ai [123] #5g,#autonomousvehicles [116] #machinelearning,#ai [116] #automotive,#mobility [112] #analytics,#machinelearning [110] #startups,#smartcity [105] #ai,#transport [103] #transport,#python Top Word Pairs in Tweet in G3:
[121] #ai,#selfdrivingcars [120] #selfdrivingcars,#iot [110] #iot,#connectedcar [94] mikequindazzi,#ai [68] #connectedcar,#wearabletech [54] #selfdrivingcars,#ai [53] simulators,testing [53] testing,#selfdrivingcars [53] #selfdrivingcars,safety [53] safety,labortory Top Word Pairs in Tweet in G4:
[34] self,driving [34] #selfdrivingcars,#autonomous [28] driving,cars [25] cruise,opens [25] opens,driverless [25] driverless,robotaxi [25] robotaxi,service [25] service,san [25] san,francisco [25] francisco,public Top Word Pairs in Tweet in G5:
[94] #evs,#selfdrivingcars [83] #datascientist,#bigdata [82] #selfdrivingcars,#autonomos [82] #bigdata,#machinelearning [78] #ai,#datascientist [61] #machinelearning,#selfdrivingcars [57] visualcap,#evs [50] #machinelearning,taking [50] taking,#automotive [50] #automotive,industry Top Word Pairs in Tweet in G6:
[100] #trucking,industry [98] being,highly [98] highly,important [98] important,#trucking [98] industry,dangerous [98] dangerous,drivers [98] drivers,due [98] due,long [98] long,tiresome [98] tiresome,journeys Top Word Pairs in Tweet in G7:
[289] #datascientist,#bigdata [288] #ai,#datascientist [271] #bigdata,#machinelearning [156] #machinelearning,#selfdrivingcars [96] #analytics,#datascience [87] #machinelearning,#analytics [83] #selfdrivingcars,#autonomousvehicles [74] #datascience,#rstats [60] #autonomousvehicles,#analytics [55] machine,learning Top Word Pairs in Tweet in G8:
[27] autonomous,car [27] car,companies [27] companies,outpacing [27] attempts,write [27] write,rules [27] rules,road [27] road,insurance [27] insurance,journal [23] outpacing,regulators [23] regulators,attempts Top Word Pairs in Tweet in G9:
[49] #electriccars,#cars [47] #cars,#smartcars [47] #smartcars,#selfdrivingcars [34] #futurecars,#speed [28] #selfdrivingcars,#rides [26] #rides,#whips [25] #whips,#futurecars [11] #slayerpete,#secretarypete [10] #selfdrivingcars,#futurecars [8] #petebuttigieg,#mayorpete Top Word Pairs in Tweet in G10:
[18] experiencing,revolution [18] revolution,driverless [18] driverless,technology [18] technology,maybe [18] maybe,near [18] near,future [18] future,vehicles [18] vehicles,road [17] ai_mogo,experiencing [17] road,comp Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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:
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Top Tweeters in G9:
Top Tweeters in G10: