The graph represents a network of 6,800 Twitter users whose recent tweets contained ""Tesla Model S" OR "Nissan Leaf" OR "BMW i3" OR "Opel Ampera" OR "Audi Etron" OR "VW ID" OR "Mini Electric"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 18 November 2019 at 19:04 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 4-minute period from Saturday, 09 November 2019 at 19:36 UTC to Monday, 18 November 2019 at 18:40 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 : 6800
Unique Edges : 8036
Edges With Duplicates : 1506
Total Edges : 9542
Number of Edge Types : 4
Tweet : 1530
Mentions : 3065
Retweet : 4202
Replies to : 745
Self-Loops : 1580
Reciprocated Vertex Pair Ratio : 0.00844571584252827
Reciprocated Edge Ratio : 0.0167499662299068
Connected Components : 1279
Single-Vertex Connected Components : 796
Maximum Vertices in a Connected Component : 2599
Maximum Edges in a Connected Component : 5127
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.464393
Graph Density : 0.000160123028473045
Modularity : 0.745968
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,800 Twitter users whose recent tweets contained ""Tesla Model S" OR "Nissan Leaf" OR "BMW i3" OR "Opel Ampera" OR "Audi Etron" OR "VW ID" OR "Mini Electric"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 18 November 2019 at 19:04 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 4-minute period from Saturday, 09 November 2019 at 19:36 UTC to Monday, 18 November 2019 at 18:40 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 : TwitterSearch
Graph Term : "Tesla Model S" OR "Nissan Leaf" OR "BMW i3" OR "Opel Ampera" OR "Audi Etron" OR "VW ID" OR "Mini Electric"
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4005] tesla,model [1737] electric,cars [1704] 2015,tesla [1688] battery,pack [1688] 10,000 [1680] people,need [1680] need,understand [1680] lithium,bolivia [1680] bolivia,electric [1680] cars,increased Top Word Pairs in Tweet in G1:
[1673] people,need [1673] need,understand [1673] lithium,bolivia [1673] bolivia,electric [1673] electric,cars [1673] cars,increased [1673] increased,lithium [1673] lithium,demand [1673] demand,10 [1673] 10,each Top Word Pairs in Tweet in G2:
[323] tesla,model [219] nissan,leaf [105] mini,electric [105] vw,id [71] bmw,i3 [33] model,x [31] #airboard,#segway [31] #skateboarding,#skateboard [31] #skateboard,#celebrity [31] #celebrity,mini Top Word Pairs in Tweet in G3:
[465] tesla,model [164] nissan,leaf [54] スバル,レガシィに乗っていた米国人 [54] レガシィに乗っていた米国人,中古のテスラ [54] 中古のテスラ,モデルｓを入手して20万マイル近く乗り [54] モデルｓを入手して20万マイル近く乗り,総コストを比較 [54] 総コストを比較,車両価格こそ高かったが [54] 車両価格こそ高かったが,結局はレガシィに乗り続けた場合よりも８割方のコスト削減になったと見積もり [54] 結局はレガシィに乗り続けた場合よりも８割方のコスト削減になったと見積もり,insideevs [54] insideevs,comさんから Top Word Pairs in Tweet in G4:
[840] bmw,series [421] tesla,model [420] best,luxury [420] luxury,cars [420] cars,2019 [420] 2019,mercedes [420] mercedes,benz [420] benz,class [420] class,range [420] range,rover Top Word Pairs in Tweet in G5:
[218] two,managers [218] managers,managers [218] managers,vs [218] vs,1998 [218] 1998,honda [218] honda,civic [218] civic,tesla [218] tesla,model Top Word Pairs in Tweet in G6:
[95] bmw,i3 [39] tesla,model [31] ice,age [24] i3,#bmwi [24] #bmwi,#thei3 [24] #thei3,#bmwirepost [17] arikring,amongstwits [17] amongstwits,hanslak [17] hanslak,ecowarriorss [17] ecowarriorss,amazingchevvolt Top Word Pairs in Tweet in G7:
[160] nissan,leaf [154] 10,passenger [154] passenger,vehicles [154] vehicles,sold [154] sold,bc [154] bc,zero [154] zero,emissions [154] emissions,chevy [154] chevy,bolt [154] bolt,nissan Top Word Pairs in Tweet in G8:
[83] nissan,leaf [31] 100,electric [31] electric,nissan [28] leaf,zero [28] zero,co2 [28] co2,whilst [28] whilst,driving [28] driving,bik [28] bik,april [28] april,2020 Top Word Pairs in Tweet in G9:
[68] tesla,model [21] vw,id [16] nissan,leaf [16] 2015,tesla [15] tsla,tslaq [14] ford,mach [14] 50,crossed [14] crossed,center [13] electric,car [13] model,traveling Top Word Pairs in Tweet in G10:
[130] tesla,model [59] model,tesla [58] improved,reliability [58] reliability,scores [58] scores,enable [58] enable,recommend [58] recommend,tesla [58] model,previous [58] previous,downgrades [58] downgrades,experts 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 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 G2:
Top Mentioned in G3:
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: