The graph represents a network of 1,115 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, 05 October 2022 at 12:43 UTC.
The requested start date was Wednesday, 05 October 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 9-day, 22-hour, 20-minute period from Saturday, 24 September 2022 at 23:00 UTC to Tuesday, 04 October 2022 at 21:20 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 : 1115
Unique Edges : 1039
Edges With Duplicates : 14337
Total Edges : 15376
Number of Edge Types : 5
MentionsInRetweet : 6182
Mentions : 2740
Retweet : 5886
Tweet : 526
Replies to : 42
Self-Loops : 1730
Reciprocated Vertex Pair Ratio : 0.0235521235521236
Reciprocated Edge Ratio : 0.046020369671822
Connected Components : 119
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 980
Maximum Edges in a Connected Component : 15213
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.146453
Graph Density : 0.00213427152184589
Modularity : 0.118743
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,115 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, 05 October 2022 at 12:43 UTC.
The requested start date was Wednesday, 05 October 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 9-day, 22-hour, 20-minute period from Saturday, 24 September 2022 at 23:00 UTC to Tuesday, 04 October 2022 at 21:20 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:
[3140] #iot,#iiot [2720] #datascientist,#csuite [2720] #csuite,#digitalhealth [2718] #healthtech,#datascientist [2718] #cx,#ehealth [2716] #ehealth,#finserv [2704] #digitalhealth,#web3 [2703] #web3,#cx [2687] #finserv,#cloud [2679] #cloud,#insurtech Top Word Pairs in Tweet in G1:
[524] #ai,#machinelearning [514] #machinelearning,#iot [480] #cx,#selfdrivingcars [454] #selfdrivingcars,#smartcity [428] #iot,#iiot [417] #iiot,#cx [330] #smartcity,#autonomousvehicles [285] #autonomousvehicles,#datascience [158] #datascience,#bigdata [138] data,science Top Word Pairs in Tweet in G2:
[1244] #machinelearning,#iot [1147] #ai,#machinelearning [1137] #iot,#iiot [1066] #iiot,#cx [955] #cx,#selfdrivingcars [906] #selfdrivingcars,#smartcity [576] #smartcity,#autonomousvehicles [372] #autonomousvehicles,#datascience [349] #ai,#python [255] machine,learning Top Word Pairs in Tweet in G3:
[343] #machinelearning,#iot [328] #ai,#machinelearning [305] #iot,#iiot [287] #iiot,#cx [265] #cx,#selfdrivingcars [230] #selfdrivingcars,#smartcity [167] #ai,#iot [156] #iot,#5g [154] #selfdrivingcars,#ai [153] #datascientist,#csuite Top Word Pairs in Tweet in G4:
[2543] #datascientist,#csuite [2543] #csuite,#digitalhealth [2542] #healthtech,#datascientist [2542] #cx,#ehealth [2539] #ehealth,#finserv [2529] #digitalhealth,#web3 [2529] #web3,#cx [2517] #finserv,#cloud [2511] #cloud,#insurtech [1612] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[87] #iot,#iiot [68] #machinelearning,#iot [66] #ai,#machinelearning [60] #iiot,#cx [53] #cx,#selfdrivingcars [46] #selfdrivingcars,#smartcity [46] #selfdrivingcars,#ai [37] #ai,#iot [37] #cryptocurrency,#ai [36] #ai,#datascience Top Word Pairs in Tweet in G6:
[93] autonomous,vehicles [93] vehicles,going [93] going,growing [93] growing,pains [93] san,francisco [93] #robotaxis,#selfdrivingcars [92] pains,san [92] francisco,residents [92] residents,know [92] know,well Top Word Pairs in Tweet in G7:
[78] #machinelearning,#ml [77] #iot,#iiot [54] #datascience,#analytics [53] #ml,#ai [47] #bigdata,#datascience [46] autopilot,sees [43] #ai,#ml [43] #tesla,autopilot [43] #analytics,#machinelearning [36] #iiot,#iotpl Top Word Pairs in Tweet in G8:
[11] #teachers,imagine [11] imagine,fun [11] fun,#students [11] #students,gift [11] gift,#stem [11] #stem,autoautoai [11] autoautoai,#teaching [11] #teaching,#education [11] #education,#edtech [10] masterai_,#teachers Top Word Pairs in Tweet in G9:
[4] next,self [4] self,driving [4] driving,vehicles [4] vehicles,next [4] next,turinginst [4] turinginst,#turinglecture [4] #turinglecture,takes [4] takes,place [4] place,tonight [4] tonight,tue Top Word Pairs in Tweet in G10:
[13] #ai,#machinelearning [13] #machinelearning,#iot [13] #cx,#selfdrivingcars [13] #selfdrivingcars,#smartcity [13] #smartcity,#autonomousvehicles [12] #iot,#iiot [12] #iiot,#cx [9] popular,machine [9] machine,learning [9] learning,models Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: