The graph represents a network of 5,813 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 02:54 UTC.
The tweets in the network were tweeted over the 832-day, 20-hour, 12-minute period from Sunday, 22 November 2020 at 04:48 UTC to Sunday, 05 March 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 : 5813
Unique Edges : 2259
Edges With Duplicates : 9398
Total Edges : 11657
Number of Edge Types : 9
MentionsInReplyTo : 2349
Replies to : 1273
Retweet : 3111
MentionsInRetweet : 3398
Tweet : 1127
Quote : 102
MentionsInQuote : 30
Mentions : 256
MentionsInQuoteReply : 11
Self-Loops : 1335
Reciprocated Vertex Pair Ratio : 0.0242369838420108
Reciprocated Edge Ratio : 0.0473269062226117
Connected Components : 1097
Single-Vertex Connected Components : 511
Maximum Vertices in a Connected Component : 2516
Maximum Edges in a Connected Component : 5572
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.391967
Graph Density : 0.000168861141265709
Modularity : 0.509813
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,813 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 02:54 UTC.
The tweets in the network were tweeted over the 832-day, 20-hour, 12-minute period from Sunday, 22 November 2020 at 04:48 UTC to Sunday, 05 March 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:
[3221] electric,car [785] car,dealerships [725] passes,bill [718] bill,restricting [710] restricting,electric [651] mississippi,passes [508] drive,electric [461] car,yes [452] the_trump_train,drive [246] car,same Top Word Pairs in Tweet in G1:
[608] electric,car [480] drive,electric [452] the_trump_train,drive [439] car,yes [25] the_trump_train,electric [18] the_trump_train,never [16] never,drive [14] electric,cars [11] car,drive [11] afford,electric Top Word Pairs in Tweet in G2:
[311] electric,car [61] car,dealerships [52] restricting,electric [52] bill,restricting [51] #aliexpress,#rt [51] #amazon,#aliexpress [51] gt,gt [51] click,gt [51] gt,co [49] passes,bill Top Word Pairs in Tweet in G3:
[248] electric,car [241] tires,gas [241] exhaust,sources [241] tires,make [241] car,same [241] sources,electric [241] number,tires [241] make,more [241] more,pollution [241] pollution,exhaust Top Word Pairs in Tweet in G4:
[216] electric,car [207] car,dealerships [205] mississippi,passes [205] passes,bill [205] bill,restricting [205] restricting,electric [193] tommyboy0690,mississippi [9] groove_sdc,mississippi [5] rulers,mississippi [5] technology,jobs Top Word Pairs in Tweet in G5:
[202] electric,car [197] car,dealerships [194] passes,bill [194] restricting,electric [194] bill,restricting [194] mississippi,passes [190] realtuckfrumper,mississippi [6] electric,cars [5] realtuckfrumper,republicans [4] obviously,hate Top Word Pairs in Tweet in G6:
[66] electric,car [15] elonmusk,resist_05 [14] electric,cars [10] friend,bought [10] school,driving [10] cars,mums [10] childhood,best [10] look,think [10] mums,childhood [10] think,high Top Word Pairs in Tweet in G7:
[65] franchise,laws [65] epic,level [65] carmakers,opening [65] mississippi,manipulating [65] stupid,mississippi [65] manipulating,franchise [65] laws,prevent [65] prevent,electric [65] level,stupid [65] electric,carmakers Top Word Pairs in Tweet in G8:
[117] electric,car [55] gas,cars [53] another,car [53] hear,isn [53] morning,gas [53] fire,won [53] happened,volvo [53] won,hear [53] cars,burn [53] car,happened Top Word Pairs in Tweet in G9:
[117] electric,car [112] governor,sign [112] law,prohibiting [112] sales,state [112] mississippi,republican [112] prohibiting,electric [112] sign,law [112] car,sales [112] republican,governor [111] braddroflit,mississippi Top Word Pairs in Tweet in G10:
[48] ms,usual [48] syphilis,ms [48] children,being [48] 700,increase [48] usual,gop [48] increase,children [48] being,born [48] passing,bull [48] bull,keep [48] born,syphilis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: