The graph represents a network of 1,298 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 July 2022 at 12:51 UTC.
The requested start date was Wednesday, 27 July 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 12-day, 21-hour, 51-minute period from Wednesday, 13 July 2022 at 22:43 UTC to Tuesday, 26 July 2022 at 20:34 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 : 1298
Unique Edges : 1550
Edges With Duplicates : 15333
Total Edges : 16883
Number of Edge Types : 5
Retweet : 5868
MentionsInRetweet : 7489
Tweet : 633
Replies to : 26
Mentions : 2867
Self-Loops : 1691
Reciprocated Vertex Pair Ratio : 0.0322388059701493
Reciprocated Edge Ratio : 0.0624638519375361
Connected Components : 77
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 1166
Maximum Edges in a Connected Component : 16658
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.362817
Graph Density : 0.00205404673342418
Modularity : 0.146621
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,298 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 July 2022 at 12:51 UTC.
The requested start date was Wednesday, 27 July 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 12-day, 21-hour, 51-minute period from Wednesday, 13 July 2022 at 22:43 UTC to Tuesday, 26 July 2022 at 20:34 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:
[2536] #digitalhealth,#cx [2536] #cx,#women [2536] #women,#ehealth [2536] #ehealth,#finserv [2532] #healthtech,#datascientist [2522] #datascientist,#web3 [2522] #web3,#digitalhealth [2474] #finserv,#cloud [2391] #ai,#iot [2333] #cloud,#insurtech Top Word Pairs in Tweet in G1:
[2187] #digitalhealth,#cx [2187] #cx,#women [2187] #women,#ehealth [2187] #ehealth,#finserv [2185] #healthtech,#datascientist [2175] #datascientist,#web3 [2175] #web3,#digitalhealth [2128] #finserv,#cloud [1989] #cloud,#insurtech [1610] #iot,#iiot Top Word Pairs in Tweet in G2:
[581] #ai,#iot [446] #iot,#iiot [333] #iiot,#cx [293] #cx,#machinelearning [277] #ai,#python [229] #selfdrivingcars,#ai [224] #machinelearning,#selfdrivingcars [203] #iot,#5g [197] #selfdrivingcars,#fashiontech [193] #ai,#selfdrivingcars Top Word Pairs in Tweet in G3:
[199] #digitalhealth,#cx [199] #cx,#women [199] #women,#ehealth [199] #ehealth,#finserv [198] #datascientist,#web3 [198] #web3,#digitalhealth [198] #finserv,#cloud [198] #healthtech,#datascientist [197] #cloud,#insurtech [196] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[60] #coding,#programming [60] #javascript,#engineering [60] #engineering,#ai [54] #programming,#python [54] #python,#javascript [52] learn,#datascience [52] #datascience,ingliguori [42] battery,vs [42] fuel,cell [41] visualized,battery Top Word Pairs in Tweet in G5:
[87] #ai,#iot [58] #ai,#python [55] jobpreference,looking [55] looking,#job [55] #job,#hiring [55] straightforward,approach [55] approach,#ai [55] #python,#coding [53] #iot,#5g [51] #iot,#iiot Top Word Pairs in Tweet in G6:
[308] #ai,#python [306] looking,#job [306] #job,#hiring [306] straightforward,approach [306] approach,#ai [306] #python,#coding [215] jobpreference,looking [196] #coding,#selfdrivingcars [153] #hiring,sign [153] sign,straightforward Top Word Pairs in Tweet in G7:
[14] self,driving [4] #selfdrivingcars,#selfdriving [4] क,र [3] #selfdrivingcars,#innovation [3] driving,cars [3] driving,taxi [2] san,francisco [2] #selfdrivingcars,#cruise [2] #nerdy,#thirty [2] #thirty,#nerdyandthirty Top Word Pairs in Tweet in G8:
[30] #smartcars,#selfdrivingcars [30] #electriccars,#cars [29] #cars,#smartcars [21] #futurecars,#speed [19] #selfdrivingcars,#rides [19] #rides,#whips [16] #whips,#futurecars [8] engadget,#electriccars [6] #selfdrivingcars,#futurecars [6] ev,battery Top Word Pairs in Tweet in G9:
[6] apex,middleware [5] busy,month [5] month,blog [5] blog,whether [5] whether,build [5] build,#autonomousvehicles [5] #autonomousvehicles,formulastudent [5] formulastudent,open [5] wonder,apex [5] middleware,based Top Word Pairs in Tweet in G10:
[12] fr_guichard,its_at_unece [12] its_at_unece,unece [12] unece,jackstilgoe [12] jackstilgoe,stsucl [12] stsucl,turinginst [7] week,regulation [7] regulation,#selfdrivingcars [7] #selfdrivingcars,fr_guichard [6] digitalplanet,week [5] see,#selfdrivingcars Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: