The graph represents a network of 1,587 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, 02 December 2020 at 13:50 UTC.
The requested start date was Wednesday, 02 December 2020 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 9-day, 3-hour, 4-minute period from Sunday, 22 November 2020 at 21:11 UTC to Wednesday, 02 December 2020 at 00:16 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 : 1587
Unique Edges : 1998
Edges With Duplicates : 14610
Total Edges : 16608
Number of Edge Types : 5
MentionsInRetweet : 8424
Mentions : 800
Retweet : 6651
Tweet : 718
Replies to : 15
Self-Loops : 915
Reciprocated Vertex Pair Ratio : 0.0267920094007051
Reciprocated Edge Ratio : 0.0521858548867018
Connected Components : 107
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 1426
Maximum Edges in a Connected Component : 16413
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.255983
Graph Density : 0.00173580899664757
Modularity : 0.183462
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,587 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, 02 December 2020 at 13:50 UTC.
The requested start date was Wednesday, 02 December 2020 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 9-day, 3-hour, 4-minute period from Sunday, 22 November 2020 at 21:11 UTC to Wednesday, 02 December 2020 at 00:16 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:
[3054] #iot,#iiot [2065] #rstats,#reactjs [1941] #ai,#rstats [1840] #bigdata,#analytics [1838] #analytics,#ai [1759] #analytics,#datascience [1681] #datascience,#ai [1422] #iiot,#python [1370] #reactjs,#iot [1360] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[199] self,driving [112] #ai,#iot [105] #driverlesscars,#autonomouscars [104] #autonomouscars,#autonomousvehicles [99] #selfdriving,#driverless [92] shanghai,using [92] using,5g [92] 5g,driverless [92] driverless,smart [92] smart,dining Top Word Pairs in Tweet in G2:
[2543] #iot,#iiot [1920] #rstats,#reactjs [1801] #ai,#rstats [1710] #analytics,#ai [1290] #bigdata,#analytics [1274] #reactjs,#iot [1219] #analytics,#datascience [1149] #datascience,#ai [973] #iiot,#python [953] #machinelearning,#iot Top Word Pairs in Tweet in G3:
[238] #ai,#iot [186] #selfdrivingcars,#ai [172] #iot,#5g [120] #iot,#iiot [95] #5g,#autonomousvehicles [90] #ai,#machinelearning [75] #rstats,#reactjs [74] mikequindazzi,#ai [73] #autonomousvehicles,#selfdriving [72] #driverlesscars,#startups Top Word Pairs in Tweet in G4:
[384] #bigdata,#analytics [382] #analytics,#datascience [377] #datascience,#ai [326] #iiot,#python [268] #iot,#iiot [246] #ai,#machinelearning [244] #machinelearning,#iot [200] #python,#rstats [117] #rstats,#tensorflow [115] #datascientist,#selfdrivingcars Top Word Pairs in Tweet in G5:
[48] #ai,#iot [28] #iot,#iiot [23] enricomolinari,#ai [21] enricomolinari,#selfdrivingcars [20] uniladtech,enricomolinari [19] #selfdrivingcars,#autonomousvehicles [19] #bigdata,#analytics [18] #analytics,#datascience [17] #drone,knows [17] knows,fly Top Word Pairs in Tweet in G6:
[15] self,driving [6] autonomous,vehicles [5] driving,cars [5] #selfdriving,#selfdrivingcars [4] #autonomousvehicles,#selfdrivingcars [4] #elonmusk,#selfdrivingcars [3] green,light [3] light,paid [3] paid,rides [3] rides,california Top Word Pairs in Tweet in G7:
[11] self,driving [10] driving,car [9] #waymoone,#selfdrivingcars [7] car,known [7] known,driverless [7] driverless,car [7] car,smart [7] smart,car [7] car,vehicle [7] vehicle,require Top Word Pairs in Tweet in G8:
[10] #bigdata,#analytics [8] #analytics,#datascience [8] #datascience,#ai [7] #ai,#machinelearning [7] #iot,#iiot [6] #machinelearning,#iot [6] #iiot,#python [5] big,ways [5] ways,full [5] differ,brains Top Word Pairs in Tweet in G9:
[10] mihkal,vivianfrancos [10] vivianfrancos,nodexl [10] nodexl,fmfrancoise [10] fmfrancoise,salhaj [10] salhaj,ronald_vanloon [8] nodexl,nodexl [8] nodexl,mihkal [7] ronald_vanloon,smr_foundation [7] #iot,#iiot [6] #ai,#iot Top Word Pairs in Tweet in G10:
[16] #electricvehicle,sales [16] sales,2012 [16] 2012,2019 [16] 2019,#tesla [16] #tesla,topple [16] topple,rest [16] rest,end [16] end,clip [16] clip,#ai [16] #ai,#electricvehicles 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 G7:
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: