The graph represents a network of 2,534 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, 16 September 2020 at 12:46 UTC.
The requested start date was Wednesday, 16 September 2020 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 11-day, 18-hour, 39-minute period from Friday, 04 September 2020 at 05:01 UTC to Tuesday, 15 September 2020 at 23:41 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 : 2534
Unique Edges : 3330
Edges With Duplicates : 15079
Total Edges : 18409
Number of Edge Types : 5
Mentions : 1101
MentionsInRetweet : 10053
Retweet : 6508
Tweet : 718
Replies to : 29
Self-Loops : 911
Reciprocated Vertex Pair Ratio : 0.019043266301036
Reciprocated Edge Ratio : 0.0373747944386306
Connected Components : 108
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 2331
Maximum Edges in a Connected Component : 18040
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.104138
Graph Density : 0.00104212399483877
Modularity : 0.238248
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,534 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, 16 September 2020 at 12:46 UTC.
The requested start date was Wednesday, 16 September 2020 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 11-day, 18-hour, 39-minute period from Friday, 04 September 2020 at 05:01 UTC to Tuesday, 15 September 2020 at 23:41 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:
[1643] #bigdata,#analytics [1517] #analytics,#datascience [1495] #python,#rstats [1250] #ai,#iot [1134] #iot,#iiot [1017] #datascience,#iot [899] #iiot,#python [789] #rstats,#tensorflow [736] #machinelearning,#bigdata [664] #machinelearning,#artificialintelligence Top Word Pairs in Tweet in G1:
[386] #machinelearning,#artificialintelligence [379] #artificialintelligence,#algorithms [378] #algorithms,#deeplearning [372] interesting,example [369] pinakilaskar,interesting [360] example,#reinforcementlearning [360] #reinforcementlearning,#machinelearning [358] #deeplearning,#storytell [213] #bigdata,#analytics [195] #python,#rstats Top Word Pairs in Tweet in G2:
[284] self,driving [259] read,add [227] add,#selfdrivingcars [217] #selfdrivingcars,news [179] #autonomousvehicles,#selfdrivingcars [175] #ai,#iot [155] michigan,plans [155] plans,world [155] world,sophisticated [155] sophisticated,roadway Top Word Pairs in Tweet in G3:
[1166] #bigdata,#analytics [1084] #analytics,#datascience [1059] #python,#rstats [811] #iot,#iiot [713] #datascience,#iot [641] #ai,#iot [621] #iiot,#python [541] #rstats,#tensorflow [504] #machinelearning,#bigdata [419] #iot,#python Top Word Pairs in Tweet in G4:
[185] #ai,#iot [157] #iot,#blockchain [154] #blockchain,#3dprint [152] next,decade [147] technologies,next [141] 15,technologies [127] jblefevre60,#ai [126] wef,jblefevre60 [124] decade,wef [124] #3dprint,mobile Top Word Pairs in Tweet in G5:
[130] gt,gt [128] #ai,#iot [73] #bigdata,#analytics [71] #analytics,#datascience [69] #python,#rstats [57] #datascience,#iot [54] #selfdrivingcars,#autonomousvehicles [49] #iot,#iiot [44] #iiot,#python [42] intengineering,enricomolinari Top Word Pairs in Tweet in G6:
[136] self,driving [124] autonomous,vehicles [108] jeroenbartelse,yandex [107] yandex,self [107] driving,group [107] group,gets [107] gets,150 [107] 150,million [107] million,partners [107] partners,uber Top Word Pairs in Tweet in G7:
[12] self,driving [6] driving,cars [6] #selfdrivingcars,#autonomousvehicles [5] #artificialintelligence,theoretically [5] theoretically,anyway [5] anyway,practically [5] practically,10 [5] 10,years [5] years,here's [3] driving,car Top Word Pairs in Tweet in G8:
[19] aurrigo,makes [19] makes,breakthrough [19] breakthrough,driverless [19] driverless,pods [19] pods,technology [19] technology,#coventry [19] #coventry,based [19] based,company [19] company,created [19] created,#jobs Top Word Pairs in Tweet in G9:
[10] #ai,#iot [9] #selfdrivingcars,#ai [5] #iot,#5g [4] autonomous,vehicles [2] fifth,wave [2] wave,computing [2] computing,fundamental [2] fundamental,making [2] making,world [2] world,live Top Word Pairs in Tweet in G10:
[10] yandex,#selfdrivingcars [10] #selfdrivingcars,group [10] group,gets [10] gets,150 [10] 150,million [10] million,partners [10] partners,#uber [10] #uber,bring [10] bring,#autonomousvehicles [9] frronconi,yandex 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 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 G10: