The graph represents a network of 1,660 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, 15 September 2021 at 12:47 UTC.
The requested start date was Wednesday, 15 September 2021 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 14-day, 10-hour, 31-minute period from Tuesday, 31 August 2021 at 08:14 UTC to Tuesday, 14 September 2021 at 18:46 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 : 1660
Unique Edges : 1947
Edges With Duplicates : 15088
Total Edges : 17035
Number of Edge Types : 5
Retweet : 6604
MentionsInRetweet : 8775
Mentions : 992
Tweet : 646
Replies to : 18
Self-Loops : 908
Reciprocated Vertex Pair Ratio : 0.0274036228518347
Reciprocated Edge Ratio : 0.0533453887884268
Connected Components : 95
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 1496
Maximum Edges in a Connected Component : 16824
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.375364
Graph Density : 0.00160642570281125
Modularity : 0.170102
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,660 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, 15 September 2021 at 12:47 UTC.
The requested start date was Wednesday, 15 September 2021 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 14-day, 10-hour, 31-minute period from Tuesday, 31 August 2021 at 08:14 UTC to Tuesday, 14 September 2021 at 18:46 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:
[2207] #iot,#iiot [1898] #machinelearning,#bigdata [1842] #bigdata,#analytics [1536] #rstats,#reactjs [1338] #analytics,#datascience [1253] #datascience,#iot [1220] #python,#rstats [1135] #ai,#machinelearning [1024] #reactjs,#iot [941] #analytics,#machinelearning Top Word Pairs in Tweet in G1:
[340] #selfdrivingcars,#ai [307] #ai,#iot [288] #iot,#5g [257] #machinelearning,#bigdata [238] #iot,#iiot [234] self,driving [226] #bigdata,#analytics [176] driving,cars [173] #ai,#machinelearning [163] #analytics,#datascience Top Word Pairs in Tweet in G2:
[1495] #iot,#iiot [1205] #rstats,#reactjs [1188] #machinelearning,#bigdata [1145] #bigdata,#analytics [884] #python,#rstats [804] #reactjs,#iot [802] #analytics,#datascience [748] #datascience,#iot [738] #analytics,#machinelearning [615] #ai,#machinelearning Top Word Pairs in Tweet in G3:
[170] #iot,#iiot [144] #rstats,#reactjs [138] #machinelearning,#bigdata [116] #selfdrivingcars,#ai [111] #bigdata,#analytics [106] #ai,#iot [105] #python,#rstats [103] self,driving [98] #reactjs,#iot [88] #iot,#5g Top Word Pairs in Tweet in G4:
[345] #bigdata,#analytics [288] #iot,#iiot [286] #machinelearning,#bigdata [278] #analytics,#datascience [269] #datascience,#iot [166] #ai,#machinelearning [133] #iiot,#rstats [118] #rstats,#javascript [116] #javascript,#reactjs [110] #python,#rstats Top Word Pairs in Tweet in G5:
[76] self,driving [51] driving,technology [51] technology,deal [51] deal,narrow [51] narrow,spaces [51] spaces,hohocho [51] hohocho,#hyundai [49] jeroenbartelse,hyundai [49] jeroenbartelse,self [49] #hyundai,#selfdrivingca Top Word Pairs in Tweet in G6:
[90] #iot,#blockchain [90] #blockchain,#3dprint [85] #ai,#machinelearning [83] technologies,next [83] next,decade [83] decade,#ai [80] 10,technologies [80] #machinelearning,#iot [80] #3dprint,#selfdrivingcars [79] jblefevre60,10 Top Word Pairs in Tweet in G7:
[22] self,driving [14] driving,cars [4] autonomous,driving [4] #driverlesscars,#selfdrivingcars [3] driving,vehicles [3] #ai,#selfdrivingcars [3] #selfdrivingcars,#robotics [3] input,testing [3] testing,#selfdrivingcars [3] #selfdrivingcars,#technology Top Word Pairs in Tweet in G8:
[19] self,driving [17] driving,vehicles [13] apple,heavily [13] heavily,rumored [13] rumored,electric [13] electric,car [13] car,developed [13] developed,independently [13] independently,according [13] according,sources Top Word Pairs in Tweet in G9:
[41] research,internships [41] internships,available [41] available,waabi_ai [41] waabi_ai,year [41] year,long [41] long,duration [41] duration,12 [41] 12,months [41] months,available [41] available,both Top Word Pairs in Tweet in G10:
[97] #driverlesscars,#autonomouscars [95] #autonomouscars,#autonomousvehicles [90] #cars,#automotive [90] #selfdriving,#driverless [82] #autonomousvehicles,#selfdriving [56] #driverless,#cars [55] #selfdrivingcars,#driverlesscars [47] #selfdrivingcars,news [46] #automotive,#transport [33] read,#selfdrivingcars Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G10:
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: