The graph represents a network of 1,676 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, 27 January 2021 at 13:45 UTC.
The requested start date was Wednesday, 27 January 2021 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 8-day, 22-hour, 7-minute period from Thursday, 14 January 2021 at 14:16 UTC to Saturday, 23 January 2021 at 12:23 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 : 1676
Unique Edges : 2941
Edges With Duplicates : 15078
Total Edges : 18019
Number of Edge Types : 5
Retweet : 6710
MentionsInRetweet : 9751
Tweet : 580
Mentions : 938
Replies to : 40
Self-Loops : 794
Reciprocated Vertex Pair Ratio : 0.0240986362787222
Reciprocated Edge Ratio : 0.0470631156512222
Connected Components : 89
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 1512
Maximum Edges in a Connected Component : 17800
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.146346
Graph Density : 0.00195276600292096
Modularity : 0.209558
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 1,676 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, 27 January 2021 at 13:45 UTC.
The requested start date was Wednesday, 27 January 2021 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 8-day, 22-hour, 7-minute period from Thursday, 14 January 2021 at 14:16 UTC to Saturday, 23 January 2021 at 12:23 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:
[1985] #ai,#datascientist [1622] #cloudcomputing,#futureofwork [1563] #futureofwork,#bigdata [1536] #datascientist,#datascience [1412] #rstats,#reactjs [1350] #datascience,#cloudcomputing [1236] #analytics,#ai [1026] #bigdata,#selfdrivingcars [793] #analytics,#machinelearning [626] #iot,#iiot Top Word Pairs in Tweet in G1:
[1895] #ai,#datascientist [1533] #cloudcomputing,#futureofwork [1478] #futureofwork,#bigdata [1461] #datascientist,#datascience [1364] #rstats,#reactjs [1280] #datascience,#cloudcomputing [1199] #analytics,#ai [971] #bigdata,#selfdrivingcars [763] #analytics,#machinelearning [609] #iot,#iiot Top Word Pairs in Tweet in G2:
[169] mvollmer1,#tesla [111] #tesla,snowmobil [111] snowmobil,mt [111] mt,alvinfoo [76] self,driving [65] #tesla,bigger [65] bigger,market [65] market,cap [65] cap,next [65] next,ten Top Word Pairs in Tweet in G3:
[60] enricomolinari,#ev [58] gigadgets_,enricomolinari [55] #ebike,winter [55] winter,commuting [55] commuting,gigadgets_ [54] #selfdrivingcars,#traveltech [54] #ev,#selfdrivingcars [53] enricomolinari,#ebike [52] #traveltech,# [51] #cloudcomputing,#futureofwork Top Word Pairs in Tweet in G4:
[183] #selfdrivingcars,#ai [170] #ai,#iot [162] #iot,#5g [88] #5g,#autonomousvehicles [76] #autonomousvehicles,#selfdriving [72] #robotics,#driverless [72] #startups,#startup [72] #startup,#robot [71] #driverless,#driverlesscars [71] #driverlesscars,#startups Top Word Pairs in Tweet in G5:
[51] #ai,#iot [32] #selfdrivingcars,#ai [26] #smartcities,cc [25] motorcycle,transform [25] transform,flying [25] flying,vehicle [25] vehicle,startupselfie [25] startupselfie,#selfdrivingcars [25] #iot,#smartcities [24] ronald_vanloon,motorcycle Top Word Pairs in Tweet in G6:
[12] self,driving [3] driverless,cars [3] driving,cars [2] #autonomousvehicles,#selfdrivingcars [2] #selfdriving,#selfdrivingcars [2] smart,roads [2] #guidaautonoma,#selfdrivingcars [2] #selfdrivingcars,#ai [2] driving,vehicles [2] driving,car Top Word Pairs in Tweet in G7:
[14] wonder,self [14] self,driving [14] driving,cars [14] cars,handle [14] handle,snow [14] snow,answer [14] answer,team's [14] team's,idea [14] idea,using [14] using,radar Top Word Pairs in Tweet in G8:
[3] microsoft,join [3] join,gm [3] gm,honda [3] honda,institutional [3] institutional,investors [3] investors,combined [3] combined,equity [3] equity,investment [3] investment,more [3] microsoft,partners Top Word Pairs in Tweet in G9:
[13] self,driving [12] #ai,#datascientist [10] driving,cars [10] #datascientist,#datascience [9] #cloudcomputing,#futureofwork [8] #datascience,#cloudcomputing [8] #futureofwork,#bigdata [6] lanceeliot,#aitrends [6] #aitrends,#selfdriving [6] #selfdriving,#ai Top Word Pairs in Tweet in G10:
[2] paulpingles,ramraj35hotmai1 [2] ramraj35hotmai1,sharescope [2] sharescope,seeingmachines [2] seeingmachines,temperowkamusic [2] temperowkamusic,bhamkam [2] bhamkam,ovt_tech [2] ovt_tech,speno011 [2] speno011,valaafshar 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 G8:
Top Replied-To in G9:
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:
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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: