The graph represents a network of 1,450 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 January 2022 at 13:48 UTC.
The requested start date was Wednesday, 05 January 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, 11-hour, 17-minute period from Wednesday, 22 December 2021 at 09:23 UTC to Tuesday, 04 January 2022 at 20:40 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 : 1450
Unique Edges : 2515
Edges With Duplicates : 17419
Total Edges : 19934
Number of Edge Types : 5
Retweet : 6542
MentionsInRetweet : 11102
Mentions : 1643
Tweet : 609
Replies to : 38
Self-Loops : 902
Reciprocated Vertex Pair Ratio : 0.0343109066513322
Reciprocated Edge Ratio : 0.0663454410674574
Connected Components : 90
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 1305
Maximum Edges in a Connected Component : 19616
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.053321
Graph Density : 0.00256823968967897
Modularity : 0.16582
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,450 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 January 2022 at 13:48 UTC.
The requested start date was Wednesday, 05 January 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, 11-hour, 17-minute period from Wednesday, 22 December 2021 at 09:23 UTC to Tuesday, 04 January 2022 at 20:40 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:
[1512] #ai,#datascientist [1506] #bigdata,#machinelearning [1467] #datascientist,#bigdata [1347] #machinelearning,#analytics [1147] #analytics,#datascience [1044] #rstats,#reactjs [977] #machinelearning,#ai [952] need,job [952] job,sign [952] sign,middleman Top Word Pairs in Tweet in G1:
[1041] #ai,#datascientist [1036] #bigdata,#machinelearning [1007] #datascientist,#bigdata [919] #machinelearning,#analytics [785] #analytics,#datascience [745] #rstats,#reactjs [698] #machinelearning,#ai [685] #ai,#python [652] #python,#rstats [650] #datascience,#rstats Top Word Pairs in Tweet in G2:
[434] #ai,#datascientist [432] #bigdata,#machinelearning [424] #datascientist,#bigdata [394] #machinelearning,#analytics [363] need,job [363] job,sign [363] sign,middleman [363] middleman,free [363] free,charge [363] charge,#ai Top Word Pairs in Tweet in G3:
[71] #autonomousvehicles,#selfdrivingcars [62] self,driving [56] #selfdrivingcars,#electriccars [54] modular,autonomers [54] autonomers,ready [54] ready,vehicle [54] vehicle,platform [54] platform,configured [54] configured,multiple [54] multiple,uses Top Word Pairs in Tweet in G4:
[211] #autonomousvehicles,#selfdrivingcars [183] #selfdrivingcars,#electriccars [130] mashable,#autonomousvehicles [111] water,taxis [111] taxis,make [111] make,moving [111] moving,around [111] around,cities [111] cities,easier [111] easier,mashable Top Word Pairs in Tweet in G5:
[222] #rstats,#reactjs [197] #machinelearning,#ai [183] #python,#rstats [182] #ai,#python [166] #analytics,#machinelearning [157] #reactjs,#iot [85] #iot,#ml [70] #iot,#iiot [70] #ml,#linux [46] #linux,#serverless Top Word Pairs in Tweet in G6:
[18] self,driving [7] driving,cars [6] #selfdrivingcars,#autonomousvehicles [6] #selfdrivingcars,#automotive [6] #automotive,#electriccars [5] driving,car [4] electric,vehicles [4] minutes,ago [4] #selfdrivingcars,#hawkeye [3] level,self Top Word Pairs in Tweet in G7:
[7] tesla,strawberries [7] strawberries,upend [7] upend,trillion [7] trillion,produce [7] produce,market [7] market,#selfdrivingcars [6] #fintech,#finserv [6] enricomolinari,tesla [6] #selfdrivingcars,# [5] terrain,#drone Top Word Pairs in Tweet in G8:
[7] #vr,#vrgotham [7] #vrgotham,#3dvideomotion [4] #selfdrivingcars,#safetyfirst [4] #lidar,ces [3] #autonomousvehicles,#startup [3] #startup,#signs [3] #signs,#deals [3] #deals,dhlus [3] dhlus,tusimpleai [3] tusimpleai,#trucking Top Word Pairs in Tweet in G9:
[10] #iot,#5g [9] #ai,#iot [8] #selfdrivingcars,#ai [7] future,fleet [7] fleet,expands [7] expands,purpose [7] purpose,built [7] roadshow,waymo [5] guidaautonoma,waymo [4] waymo,adjusted Top Word Pairs in Tweet in G10:
[26] #smartcars,#selfdrivingcars [25] #electriccars,#cars [25] #cars,#smartcars [23] #selfdrivingcars,#rides [23] #futurecars,#speed [22] #rides,#whips [22] #whips,#futurecars [4] #petebuttigieg,#mayorpete [4] #mayorpete,#wintheera [4] #wintheera,#slayerpete Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: