The graph represents a network of 5,927 Twitter users whose recent tweets contained "electric car", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 02:54 UTC.
The tweets in the network were tweeted over the 3567-day, 23-hour, 15-minute period from Tuesday, 09 April 2013 at 01:44 UTC to Sunday, 15 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5927
Unique Edges : 2797
Edges With Duplicates : 9682
Total Edges : 12479
Number of Edge Types : 9
Replies to : 1414
MentionsInReplyTo : 2559
Retweet : 3043
MentionsInRetweet : 3896
Tweet : 1091
Quote : 95
Mentions : 324
MentionsInQuote : 45
MentionsInQuoteReply : 12
Self-Loops : 1275
Reciprocated Vertex Pair Ratio : 0.0259206574996049
Reciprocated Edge Ratio : 0.0505315051609921
Connected Components : 1108
Single-Vertex Connected Components : 496
Maximum Vertices in a Connected Component : 2513
Maximum Edges in a Connected Component : 6142
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.981722
Graph Density : 0.000184805560691416
Modularity : 0.517996
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,927 Twitter users whose recent tweets contained "electric car", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 02:54 UTC.
The tweets in the network were tweeted over the 3567-day, 23-hour, 15-minute period from Tuesday, 09 April 2013 at 01:44 UTC to Sunday, 15 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : electric car
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:
[1981] electric,car [662] commercially,viable [661] company,made [660] made,first [658] first,commercially [655] elonmusk,jxeral [653] internal,combustion [652] combustion,engine [644] engine,car [642] saved,company Top Word Pairs in Tweet in G1:
[658] commercially,viable [656] made,first [656] company,made [654] first,commercially [653] elonmusk,jxeral [642] combustion,engine [640] engine,car [640] internal,combustion [639] ironically,company [639] jxeral,ironically Top Word Pairs in Tweet in G2:
[294] electric,car [32] electric,cars [22] car,company [21] elon,musk [20] electric,vehicle [19] impact,wrench [17] tesla,car [16] rc,car [15] car,charging [14] remote,control Top Word Pairs in Tweet in G3:
[476] university,tokyo [476] meet,nigerian [476] nigerian,genius [476] tokyo,solving [476] ufot,ekong [476] made,history [476] university,tokai [476] genius,ufot [476] tokai,university [476] japanese,university Top Word Pairs in Tweet in G4:
[427] plant,nigeria [427] nigeria,begin [427] begin,production [427] electric,cars [427] processing,plant [427] first,lithium [427] production,kaduna [427] april,electric [427] lithium,processing [427] kaduna,april Top Word Pairs in Tweet in G5:
[221] electric,car [24] buy,electric [19] potus,please [19] potus,electric [17] penny_rietveld,potus [17] electric,cars [17] please,explain [17] 500,going [17] average,taxpayer [17] rebate,500 Top Word Pairs in Tweet in G6:
[249] electric,car [243] gas,stove [242] being,unvaccinated [242] imagine,being [242] unvaccinated,driving [242] using,gas [242] car,using [242] driving,electric [241] jebrafaushay,imagine [6] die,each Top Word Pairs in Tweet in G7:
[154] angry,operating [154] electric,tooth [154] machinery,electric [154] incredible,one [154] operating,machinery [154] one,angry [154] watched,incredible [154] thejeremyvine,watched Top Word Pairs in Tweet in G8:
[98] gas,stove [98] electric,car [96] unvaccinated,driving [96] being,unvaccinated [96] imagine,being [96] driving,electric [96] using,gas [96] car,using [94] realomarnavarro,imagine Top Word Pairs in Tweet in G9:
[38] markets,much [38] price,cars [38] slashed,price [38] cars,global [38] global,markets [38] electric,vehicle [38] 20,automaker [38] tesla,slashed [38] company,tesla [38] vehicle,company Top Word Pairs in Tweet in G10:
[33] fueling,concerns [33] attention,tesla [33] paying,enough [33] musk's,twitter [33] tesla,once [33] once,invincible [33] enough,attention [33] concerns,paying [33] preoccupation,fueling [33] twitter,preoccupation Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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: