The graph represents a network of 2,120 Twitter users whose recent tweets contained "#emobility OR #Elektromobilitaet", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 May 2020 at 05:50 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 22-minute period from Saturday, 16 May 2020 at 18:11 UTC to Monday, 25 May 2020 at 05:34 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.
Vertices : 2120
Unique Edges : 5989
Edges With Duplicates : 4819
Total Edges : 10808
Number of Edge Types : 5
Retweet : 2177
Replies to : 472
MentionsInRetweet : 6350
Mentions : 1099
Tweet : 710
Self-Loops : 753
Reciprocated Vertex Pair Ratio : 0.0143969443220214
Reciprocated Edge Ratio : 0.0283852280955829
Connected Components : 315
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 1328
Maximum Edges in a Connected Component : 9609
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.139026
Graph Density : 0.00153708139296749
Modularity : 0.526847
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,120 Twitter users whose recent tweets contained "#emobility OR #Elektromobilitaet", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 May 2020 at 05:50 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 22-minute period from Saturday, 16 May 2020 at 18:11 UTC to Monday, 25 May 2020 at 05:34 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 : #emobility OR #Elektromobilitaet
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 : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[128] #elektromobilität,#energiewende [107] noch,eine [88] habe,eine [58] #energiewende,unser [57] unser,bmw [57] bmw,i3 [52] i3,heute [52] heute,nach [51] nach,64 [50] 64,000 Top Word Pairs in Tweet in G3:
[90] #kunstmatigeintelligentie,#digitalsierung [73] #digitalsierung,#elektromobilität [71] #elektromobilität,#künstlicheintelligenz [71] #künstlicheintelligenz,#ki [71] #ki,#softwaretechnik [71] #softwaretechnik,#roboter [71] #roboter,#tech [71] #elektromobilität,#elektroauto [71] #tech,#toekomst [71] kennst,schon Top Word Pairs in Tweet in G4:
[15] incredibly,bold [15] bold,#climateactionnow [14] #climateactionnow,eu [14] eu,plans [13] plans,support [13] support,clean [13] clean,mobility [11] mobility,100 [10] 100,billion [8] billion,german Top Word Pairs in Tweet in G5:
[41] therealnumber6,risepdx [41] jackthelad1947,hanslak [41] hanslak,seth_leitman [41] seth_leitman,debraruh [41] debraruh,charluv2011 [41] wernerkeil,pegb_ [41] pegb_,saleemulhuq [41] saleemulhuq,stracma [41] stracma,jeremymallin [41] jeremymallin,raduede Top Word Pairs in Tweet in G6:
[28] watch,#future [28] #future,pedestrian [28] pedestrian,crossings [28] crossings,#selfdrivingcars [28] #selfdrivingcars,#emobility [28] #emobility,#smartcity [28] #smartcity,#autonomouscar [28] #autonomouscar,#driverless [28] #driverless,#cars [28] #cars,#automotive Top Word Pairs in Tweet in G7:
[49] #dasdigitaleauto,#elektromobilität [49] #autonomouscar,#smartvehicle [49] #emobility,#ev [49] welcome,new [49] new,era [49] era,autonomous [49] autonomous,driving [49] driving,#xpengp7 [49] #xpengp7,equipped [49] equipped,31 Top Word Pairs in Tweet in G8:
[26] kann,man [25] #elektromobilität,sozialen [18] sozialen,netzwerken [17] netzwerken,finden [17] finden,sich [17] sich,bekanntlich [17] bekanntlich,zahlreiche [17] zahlreiche,personen [17] personen,deren [17] deren,kein Top Word Pairs in Tweet in G9:
[50] proud,moment [25] moment,alstom [25] alstom,partner [25] partner,#indianrailways [25] #indianrailways,revolutionizing [25] revolutionizing,#freight [25] #freight,movement [25] movement,#india [25] #india,nation's [25] nation's,powerful Top Word Pairs in Tweet in G10:
[40] unsere,#elektrische [40] #elektrische,#kehrmaschine [40] #kehrmaschine,hat [40] hat,zuwachs [40] zuwachs,bekommen [40] bekommen,neulich [40] neulich,wurden [40] wurden,8 [40] 8,weitere [40] weitere,#e Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: