The graph represents a network of 8,740 Twitter users whose tweets in the requested range contained "electric car", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 April 2021 at 01:46 UTC.
The requested start date was Sunday, 11 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 20-hour, 46-minute period from Wednesday, 07 April 2021 at 11:26 UTC to Saturday, 10 April 2021 at 08:12 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 : 8740
Unique Edges : 5825
Edges With Duplicates : 8249
Total Edges : 14074
Number of Edge Types : 5
Tweet : 2267
Retweet : 3516
MentionsInRetweet : 4339
Mentions : 2374
Replies to : 1578
Self-Loops : 2325
Reciprocated Vertex Pair Ratio : 0.0115800308800823
Reciprocated Edge Ratio : 0.0228949376748919
Connected Components : 2300
Single-Vertex Connected Components : 1203
Maximum Vertices in a Connected Component : 3504
Maximum Edges in a Connected Component : 7306
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.037861
Graph Density : 0.000102934241228528
Modularity : 0.588921
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,740 Twitter users whose tweets in the requested range contained "electric car", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 April 2021 at 01:46 UTC.
The requested start date was Sunday, 11 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 20-hour, 46-minute period from Wednesday, 07 April 2021 at 11:26 UTC to Saturday, 10 April 2021 at 08:12 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 : 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:
[3732] electric,car [422] electric,vehicles [390] electric,cars [346] charging,station [343] electric,vehicle [296] petrol,car [290] car,sales [277] car,charging [237] tesla,model [203] top,speed Top Word Pairs in Tweet in G1:
[697] electric,car [92] electric,vehicles [84] electric,cars [70] electric,vehicle [61] 3000psi,pressure [61] pressure,washer [61] washer,119 [61] 119,pairs [61] pairs,great [61] great,foam Top Word Pairs in Tweet in G2:
[659] electric,car [206] charging,station [190] interesting,charging [190] station,concepts [190] concepts,apple [190] apple,electric [190] car,artist [190] artist,vfxhd [182] marginal,emissions [178] germany,electric Top Word Pairs in Tweet in G3:
[191] tesla,model [191] model,plaid [191] plaid,move [191] move,mph [191] mph,60 [191] 60,mph [191] mph,under [191] under,seconds [191] seconds,accelerate [191] accelerate,top Top Word Pairs in Tweet in G4:
[90] know,tesla [87] donslique1,234drive [87] 234drive,meaning [87] meaning,know [87] tesla,dy [87] dy,supposed [87] supposed,know [87] know,drove [87] drove,car [64] electric,car Top Word Pairs in Tweet in G5:
[124] electric,car [33] car,sales [27] electric,vehicles [21] increase,10 [21] 10,000 [21] 000,program [21] program,reform [20] car,incentive [20] infrastructure,victoria [20] victoria,panel Top Word Pairs in Tweet in G6:
[109] electric,car [17] pole,pole [16] become,first [16] first,person [15] car,charging [15] electric,dreams [15] pole,electric [14] pod_point,tesco [14] car,salary [14] salary,sacrifice Top Word Pairs in Tweet in G7:
[47] electric,car [21] electric,vehicle [20] federal,government [20] government,slammed [20] slammed,'misinformation [20] 'misinformation,modelling' [20] modelling',electric [20] vehicle,outlook [20] outlook,damning [20] damning,report Top Word Pairs in Tweet in G8:
[56] electric,car [12] tesla,boringcompany [10] electric,cars [9] gordonjohnson19,mickakers [9] mickakers,shortingisfun [9] shortingisfun,tesla [8] largecatboy,chudredux [8] chudredux,bexone [8] bexone,gordonjohnson19 [7] mrarron4,largecatboy Top Word Pairs in Tweet in G9:
[134] electric,car [133] remember,still [133] still,stuck [133] stuck,traffic [133] traffic,electric [133] car,bike [133] bike,pure [133] pure,freedom [133] freedom,cities [132] cyclingembassy,remember Top Word Pairs in Tweet in G10:
[133] electric,car [130] mining,deep [130] deep,ocean [130] ocean,floor [130] floor,source [130] source,metals [130] metals,electric [130] car,batteries [128] batteries,damaging [127] bbcworld,mining Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G10:
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:
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Top Tweeters in G3:
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Top Tweeters in G10: