The graph represents a network of 1,604 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, 29 September 2021 at 12:45 UTC.
The requested start date was Wednesday, 29 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, 23-hour, 27-minute period from Monday, 13 September 2021 at 21:37 UTC to Tuesday, 28 September 2021 at 21:05 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 : 1604
Unique Edges : 1899
Edges With Duplicates : 14604
Total Edges : 16503
Number of Edge Types : 5
Retweet : 6684
MentionsInRetweet : 8244
Mentions : 922
Tweet : 616
Replies to : 37
Self-Loops : 938
Reciprocated Vertex Pair Ratio : 0.0303888745815091
Reciprocated Edge Ratio : 0.0589852536865784
Connected Components : 89
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 1443
Maximum Edges in a Connected Component : 16282
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.338867
Graph Density : 0.00155607550058105
Modularity : 0.17534
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,604 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, 29 September 2021 at 12:45 UTC.
The requested start date was Wednesday, 29 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, 23-hour, 27-minute period from Monday, 13 September 2021 at 21:37 UTC to Tuesday, 28 September 2021 at 21:05 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:
[3372] #iot,#iiot [2277] #bigdata,#analytics [2054] #rstats,#reactjs [1902] #analytics,#datascience [1896] #machinelearning,#bigdata [1806] #reactjs,#iot [1696] #analytics,#machinelearning [1615] #machinelearning,#ai [1607] #datascience,#iot [1533] #python,#rstats Top Word Pairs in Tweet in G1:
[155] #bigdata,#analytics [153] #iot,#iiot [133] #machinelearning,#bigdata [129] #analytics,#datascience [121] #ai,#machinelearning [104] #datascience,#iot [95] #ai,#iot [82] #autonomous,#trucking [81] hyundai,autonomous [81] autonomous,hydrogen Top Word Pairs in Tweet in G2:
[2660] #iot,#iiot [1816] #rstats,#reactjs [1602] #reactjs,#iot [1568] #bigdata,#analytics [1503] #analytics,#machinelearning [1414] #machinelearning,#ai [1302] #analytics,#datascience [1282] #machinelearning,#bigdata [1279] #python,#rstats [1092] #ai,#machinelearning Top Word Pairs in Tweet in G3:
[478] #bigdata,#analytics [413] #iot,#iiot [404] #analytics,#datascience [382] #machinelearning,#bigdata [359] #datascience,#iot [292] #ai,#machinelearning [246] #iiot,#rstats [216] #rstats,#javascript [172] #javascript,#reactjs [138] #python,#rstats Top Word Pairs in Tweet in G4:
[308] #selfdrivingcars,#ai [288] #ai,#iot [276] #iot,#5g [194] #5g,#autonomousvehicles [166] #robotics,#driverless [156] #autonomous,#robotics [155] #autonomousvehicles,#selfdriving [155] #driverless,#driverlesscars [151] #driverlesscars,#startups [143] #startups,#startup Top Word Pairs in Tweet in G5:
[79] charge,#electriccar [79] #electriccar,future [79] future,fully [79] fully,self [79] self,sustainable [79] sustainable,electric [79] electric,vehicle [79] vehicle,concept [79] concept,#electricvehicles [76] mvollmer1,charge Top Word Pairs in Tweet in G6:
[43] #ai,#iot [41] #bigdata,#ai [40] #tesla,using [40] using,#bigdata [40] #iot,azamat [40] azamat,abdoullaev [36] abdoullaev,bbntimes_en [36] bbntimes_en,#selfdrivingcars [35] bimedotcom,#tesla [24] #iot,#iiot Top Word Pairs in Tweet in G7:
[13] self,driving [6] driving,cars [4] 3rd,generation [4] generation,advanced [4] advanced,intelligent [4] #autonomous,capabilities [4] #driverlesscars,#selfdrivingcars [4] #selfdrivingcars,#autonomousvehicle [4] #autonomousvehicle,#pioneeringminds [3] driving,car Top Word Pairs in Tweet in G8:
[17] article,european [17] european,commission [17] commission,report [17] report,ethics [17] ethics,connected [17] connected,automated [17] automated,vehicles [17] vehicles,future [17] future,ethics [16] doctorsds,article Top Word Pairs in Tweet in G9:
[13] #iot,#iiot [12] #ai,#selfdrivingcars [12] #selfdrivingcars,#iot [11] #iot,#connectedcar [10] #bigdata,#analytics [10] self,driving [10] driving,cars [9] #computervision,#selfdrivingcars [9] tesla,ai [8] mikequindazzi,#ai Top Word Pairs in Tweet in G10:
[12] lidar,technology [12] technology,gained [12] gained,attention [12] attention,self [12] self,driving [12] driving,car [12] car,tech [12] tech,lidar [12] lidar,sensors [12] sensors,prominent Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: