The graph represents a network of 2,967 Twitter users whose tweets in the requested range contained "nissan leaf", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 November 2019 at 21:24 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 54-minute period from Monday, 11 November 2019 at 01:03 UTC to Monday, 25 November 2019 at 00:58 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 : 2967
Unique Edges : 3063
Edges With Duplicates : 632
Total Edges : 3695
Number of Edge Types : 3
Mentions : 2365
Tweet : 755
Replies to : 575
Self-Loops : 755
Reciprocated Vertex Pair Ratio : 0.0189537528430629
Reciprocated Edge Ratio : 0.037202380952381
Connected Components : 825
Single-Vertex Connected Components : 453
Maximum Vertices in a Connected Component : 1120
Maximum Edges in a Connected Component : 1732
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.465595
Graph Density : 0.000305450310802509
Modularity : 0.759486
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,967 Twitter users whose tweets in the requested range contained "nissan leaf", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 November 2019 at 21:24 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 54-minute period from Monday, 11 November 2019 at 01:03 UTC to Monday, 25 November 2019 at 00:58 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 : nissan leaf
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:
[1793] nissan,leaf [217] chevy,bolt [207] bolt,nissan [205] zero,emissions [203] 10,passenger [203] passenger,vehicles [203] vehicles,sold [203] sold,bc [203] bc,zero [203] emissions,chevy Top Word Pairs in Tweet in G1:
[434] nissan,leaf [36] #nissan,#leaf [32] #ccubicos217,nissan [20] test,drive [19] leaf,nismo [18] #follow,link [18] #scotland,#news [18] #news,#rt [18] #rt,#ff [18] #ff,#followme Top Word Pairs in Tweet in G2:
[206] nissan,leaf [198] 10,passenger [198] passenger,vehicles [198] vehicles,sold [198] sold,bc [198] bc,zero [198] zero,emissions [198] emissions,chevy [198] chevy,bolt [198] bolt,nissan Top Word Pairs in Tweet in G3:
[57] nissan,leaf [19] #nissan,#leaf [17] #electrifytheworld,#nissan [17] #leaf,#env200 [17] #env200,#simplyamazing [15] tesla,model [7] nieuwe,voorstellen [7] 000,km [6] golf,cart [6] 2012,nissan Top Word Pairs in Tweet in G4:
[62] nissan,leaf [26] electric,cars [15] views,toyotauk [15] toyotauk,cemented [15] cemented,today [15] today,builder [15] builder,told [15] told,put [15] put,electric [15] cars,test Top Word Pairs in Tweet in G5:
[115] nissan,leaf [110] ja,fa [110] fa,vaig [110] vaig,amb [110] amb,vehicle [110] vehicle,100 [110] 100,elèctric [110] elèctric,balanç [110] balanç,meu [110] meu,1er Top Word Pairs in Tweet in G6:
[82] nissan,leaf [43] 100,electric [43] electric,nissan [43] leaf,zero [43] zero,co2 [43] co2,whilst [43] whilst,driving [43] driving,bik [43] bik,april [43] april,2020 Top Word Pairs in Tweet in G7:
[54] nissan,leaf [10] 2019,nissan [6] learn,nissan [5] member,brings [5] brings,money [5] money,saving [5] saving,program [5] program,certain [5] certain,nissan [5] leaf,buyers Top Word Pairs in Tweet in G8:
[40] etapa,#ereto [31] autopista_es,etapa [24] nissan,leaf [24] nissan_esp,leaf [17] os,presentamos [16] #ereto,nuevo [14] hacía,allí [14] nuestro,reto [12] nuestro,nissan_esp [11] loissr_motor,jorgemotor1 Top Word Pairs in Tweet in G9:
[35] 11,11は [35] 11は,#電池の日 [35] #電池の日,#蓄電池 [35] #蓄電池,として活用できるリーフe [35] として活用できるリーフe,62kwh [35] 62kwh,の大容量バッテリーで [35] の大容量バッテリーで,家中の家電の電力をまかなえます [35] 家中の家電の電力をまかなえます,身近な家電の電力をご紹介 [35] 身近な家電の電力をご紹介,走るだけじゃない [35] 走るだけじゃない,#電気自動車 Top Word Pairs in Tweet in G10:
[54] replacement,battery [54] nissan,leaf [31] add,cost [30] 4000,replacement [30] battery,nissan [30] leaf,years [30] years,add [30] cost,disposing [30] disposing,very [30] very,toxic Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: