The graph represents a network of 1,175 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, 17 August 2022 at 12:40 UTC.
The requested start date was Wednesday, 17 August 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 11-day, 11-hour, 2-minute period from Friday, 05 August 2022 at 12:33 UTC to Tuesday, 16 August 2022 at 23:35 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 : 1175
Unique Edges : 1400
Edges With Duplicates : 14888
Total Edges : 16288
Number of Edge Types : 5
Retweet : 6028
MentionsInRetweet : 7146
Tweet : 593
Mentions : 2500
Replies to : 21
Self-Loops : 1567
Reciprocated Vertex Pair Ratio : 0.028857837181045
Reciprocated Edge Ratio : 0.0560968408621199
Connected Components : 69
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 1076
Maximum Edges in a Connected Component : 16177
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.252648
Graph Density : 0.00245532639820218
Modularity : 0.146115
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,175 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, 17 August 2022 at 12:40 UTC.
The requested start date was Wednesday, 17 August 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 11-day, 11-hour, 2-minute period from Friday, 05 August 2022 at 12:33 UTC to Tuesday, 16 August 2022 at 23:35 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:
[2296] #healthtech,#datascientist [2290] #ehealth,#finserv [2278] #finserv,#cloud [2263] #datascientist,#csuite [2263] #csuite,#digitalhealth [2262] #cx,#ehealth [2256] #digitalhealth,#web3 [2256] #web3,#cx [2141] #cloud,#insurtech [2060] #datascience,#bigdata Top Word Pairs in Tweet in G1:
[1646] #datascience,#bigdata [1632] #ai,#ml [1616] #ml,#iot [1597] #iot,#datascience [1493] #bigdata,#analytics [1155] #analytics,#serverless [932] #serverless,#linux [733] #linux,#rstats [437] #rstats,#programming [394] #programming,#coding Top Word Pairs in Tweet in G2:
[297] #healthtech,#datascientist [297] #ehealth,#finserv [296] #datascientist,#csuite [296] #csuite,#digitalhealth [296] #digitalhealth,#web3 [296] #web3,#cx [296] #cx,#ehealth [295] #finserv,#cloud [293] chidambara09,#healthtech [293] #cloud,#insurtech Top Word Pairs in Tweet in G3:
[280] #datascience,#bigdata [275] #ml,#iot [272] #iot,#datascience [270] #ai,#ml [266] #ai,#iot [259] #bigdata,#analytics [238] #selfdrivingcars,#ai [227] #iot,#5g [209] #analytics,#serverless [185] #ai,#selfdrivingcars Top Word Pairs in Tweet in G4:
[1660] #healthtech,#datascientist [1656] #ehealth,#finserv [1649] #finserv,#cloud [1631] #datascientist,#csuite [1631] #csuite,#digitalhealth [1631] #cx,#ehealth [1627] #digitalhealth,#web3 [1627] #web3,#cx [1522] #cloud,#insurtech [853] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[42] #ai,#artificialintelligence [34] #artificialintelligence,#automation [34] #automation,#transport [24] #transport,#selfdrivingcars [23] #autonomous,ebike [23] ebike,startupselfieco [23] startupselfieco,#ai [22] amazing,#autonomous [20] ronald_vanloon,amazing [18] #selfdrivingcars,#aut Top Word Pairs in Tweet in G6:
[19] self,driving [6] driving,cars [4] #tesla,#selfdrivingcars [3] article,gradient [3] gradient,explain [3] explain,self [3] cars,actually [3] actually,less [3] less,safe [3] safe,human Top Word Pairs in Tweet in G7:
[31] #smartcars,#selfdrivingcars [23] #electriccars,#cars [21] #cars,#smartcars [17] #futurecars,#speed [13] #selfdrivingcars,#rides [13] #rides,#whips [13] #whips,#futurecars [12] #electriccars,#future [12] #future,#futureatfullspeed [12] #futureatfullspeed,#smartcars Top Word Pairs in Tweet in G8:
[3] wholemarsblog,elonmusk [2] self,driving [2] #tesla,#selfdrivingcars [2] elonmusk,simple [2] simple,luminartech [2] luminartech,help [2] help,lazr [2] lazr,tsla [2] tsla,#selfdrivingcars [2] #selfdrivingcars,#tesla Top Word Pairs in Tweet in G9:
[15] self,driving [15] driving,vehicles [15] vehicles,classified [15] classified,six [15] six,levels [15] levels,automation [15] automation,regarding [15] regarding,intensity [15] intensity,control [15] control,car Top Word Pairs in Tweet in G10:
[55] top,tweets [55] tweets,enjoy [55] enjoy,#ai [55] #ai,#selfdrivingcars [37] #selfdrivingcars,#autonomousvehicles [35] 24h,round [35] round,collection [35] collection,top [29] iot_automotive,24h [29] #autonomousvehicles,#co Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G8:
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: