The graph represents a network of 1,727 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, 18 May 2022 at 12:39 UTC.
The requested start date was Wednesday, 18 May 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 22-day, 2-hour, 2-minute period from Monday, 25 April 2022 at 19:27 UTC to Tuesday, 17 May 2022 at 21:29 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 : 1727
Unique Edges : 2177
Edges With Duplicates : 16228
Total Edges : 18405
Number of Edge Types : 5
Retweet : 6061
MentionsInRetweet : 9246
Mentions : 2091
Tweet : 969
Replies to : 38
Self-Loops : 1322
Reciprocated Vertex Pair Ratio : 0.0317105850826262
Reciprocated Edge Ratio : 0.0614718614718615
Connected Components : 119
Single-Vertex Connected Components : 74
Maximum Vertices in a Connected Component : 1500
Maximum Edges in a Connected Component : 18059
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.344542
Graph Density : 0.00154991844476755
Modularity : 0.1746
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,727 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, 18 May 2022 at 12:39 UTC.
The requested start date was Wednesday, 18 May 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 22-day, 2-hour, 2-minute period from Monday, 25 April 2022 at 19:27 UTC to Tuesday, 17 May 2022 at 21:29 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:
[1141] #coding,#programming [1110] #programming,#python [993] #python,#javascript [987] #javascript,#linux [825] #python,#coding [823] #ai,#transport [823] #transport,#python [822] #coding,#selfdrivingcars [814] need,#job [814] #job,sign Top Word Pairs in Tweet in G1:
[174] #coding,#programming [172] #programming,#python [148] #python,#javascript [144] #javascript,#linux [138] akwyz,glengilmore [138] glengilmore,fisheyeboxindia [112] #linux,#engineering [107] jobpreference,need [107] need,#job [107] #job,sign Top Word Pairs in Tweet in G2:
[609] #selfdrivingcars,#ai [599] #ai,#iot [510] #iot,#5g [402] #5g,#avs [392] #ai,#selfdrivingcars [340] #selfdrivingcars,#iot [297] #coding,#programming [289] #programming,#python [277] #chip,#aichip [277] #aichip,#selfdrivingcars Top Word Pairs in Tweet in G3:
[661] #coding,#programming [642] #programming,#python [579] #python,#javascript [579] #javascript,#linux [492] #python,#coding [491] #ai,#transport [491] #transport,#python [490] #coding,#selfdrivingcars [485] need,#job [485] #job,sign Top Word Pairs in Tweet in G4:
[56] #tech,#innovation [40] visualizing,range [40] range,#evs [40] #evs,major [40] major,highway [40] highway,routes [40] routes,cost [40] cost,visualcap [40] visualcap,#selfdrivingcars [38] khulood_almani,visualizing Top Word Pairs in Tweet in G5:
[28] self,driving [14] driving,cars [9] #tesla,#selfdrivingcars [5] driving,car [5] #driverlesscars,#selfdrivingcars [5] #selfdrivingcars,#autonomousvehicle [5] #autonomousvehicle,#pioneeringminds [3] cars,#selfdrivingcars [3] highway,code [3] #autonomous,#selfdrivingcars Top Word Pairs in Tweet in G6:
[35] #autoindustry,#automobileindustry [33] #av,#selfdrivingcars [31] #selfdrivingcars,#autoindustry [26] self,driving [14] forbes,#av [12] #selfdrivingcars,#ai [11] #selfdrivingcars,#autonomousvehicles [11] driving,cars [11] #ai,ethics [11] ethics,fretting Top Word Pairs in Tweet in G7:
[45] ronald_vanloon,japan [45] japan,building [45] building,futuristic [45] futuristic,#smartcity [45] #smartcity,wef [45] wef,#iot [45] #iot,#internetofthings [45] #internetofthings,#smartcities [45] #smartcities,#selfdrivingcars [45] #selfdrivingcars,#robotics Top Word Pairs in Tweet in G8:
[33] #electriccars,#cars [33] #smartcars,#selfdrivingcars [31] #cars,#smartcars [25] #selfdrivingcars,#rides [25] #futurecars,#speed [23] #rides,#whips [23] #whips,#futurecars [4] #electriccars,#future [4] ars,technica [4] technica,#electriccars Top Word Pairs in Tweet in G9:
[3] self,driving [3] maybe,need [3] need,change [3] change,rules [3] rules,around [3] around,fasting [3] fasting,blood [3] blood,tests [3] tests,types [3] types,fasting Top Word Pairs in Tweet in G10:
[24] ai,ethics [18] #ai,#selfdrivingcars [17] lanceeliot,#selfdriving [17] #selfdriving,#ai [17] #selfdrivingcars,#autonomousdriving [17] #autonomousdriving,#autonomousvehicles [17] #autonomousvehicles,#forbes [17] #forbes,#cars [17] #cars,#tech [17] #tech,#driverless Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G9:
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: