The graph represents a network of 2,296 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 Thursday, 04 June 2020 at 08:02 UTC.
The tweets in the network were tweeted over the 7-day, 16-hour, 49-minute period from Wednesday, 27 May 2020 at 15:01 UTC to Thursday, 04 June 2020 at 07:50 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 : 2296
Unique Edges : 7216
Edges With Duplicates : 3883
Total Edges : 11099
Number of Edge Types : 5
Tweet : 673
Mentions : 1220
Replies to : 438
Retweet : 1965
MentionsInRetweet : 6803
Self-Loops : 719
Reciprocated Vertex Pair Ratio : 0.0218004616568351
Reciprocated Edge Ratio : 0.0426706827309237
Connected Components : 359
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 1495
Maximum Edges in a Connected Component : 10058
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.401156
Graph Density : 0.00151214957527727
Modularity : 0.485513
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,296 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 Thursday, 04 June 2020 at 08:02 UTC.
The tweets in the network were tweeted over the 7-day, 16-hour, 49-minute period from Wednesday, 27 May 2020 at 15:01 UTC to Thursday, 04 June 2020 at 07:50 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:
[88] #emobility,#elektromobilitaet [60] km,h [57] aktennotiz,andischeuer [53] andischeuer,06 [50] 06,2020 [42] 2020,beweisstück [41] beweisstück,42 [39] 42,fahrlässiges [34] fahrlässiges,politikversagen [33] politikversagen,beim Top Word Pairs in Tweet in G3:
[125] #elektromobilität,#elektroauto [72] schon,unser [58] e,mobility [58] kennst,schon [58] unser,produkt [58] schon,ab [58] #elektroauto,#elektromotorrad [58] max,e [58] e,series [58] 95,#elektromobilität Top Word Pairs in Tweet in G4:
[10] travel,back [9] back,time [8] time,barely [8] barely,limits [8] limits,creativity [8] creativity,#emobility [8] #emobility,competitions [5] competitions,bosch [5] bosch,organized [5] organized,late Top Word Pairs in Tweet in G5:
[111] jackthelad1947,hanslak [111] hanslak,seth_leitman [111] seth_leitman,debraruh [111] debraruh,charluv2011 [111] wernerkeil,pegb_ [111] pegb_,saleemulhuq [111] saleemulhuq,stracma [111] stracma,jeremymallin [111] jeremymallin,raduede [111] raduede,tecgale Top Word Pairs in Tweet in G6:
[59] #volkswagen,#idr [59] #idr,#justelectric [59] #justelectric,#challengeacceptid [59] #challengeacceptid,#emobility [59] id,r [59] devil,details [59] details,#volkswagen [59] year,ago [59] ago,day [59] day,fully Top Word Pairs in Tweet in G7:
[77] kirillklip,amandaray02 [77] amandaray02,netsy01 [77] netsy01,jukkapseppl [77] jukkapseppl,aqualyra [47] aqualyra,amazingchevvolt [30] amazingchevvolt,seth_leitman [30] seth_leitman,jackthelad1947 [28] jackthelad1947,jellsmoor [28] jellsmoor,wernerkeil [28] wernerkeil,jmpyper Top Word Pairs in Tweet in G8:
[13] #abfckprämie,deutsche [13] deutsche,autoindustrie [13] autoindustrie,ihren [13] ihren,großmotorigen [13] großmotorigen,modellen [13] modellen,vollkommen [13] vollkommen,aus [13] aus,zeit [13] zeit,gefallen [13] gefallen,droht Top Word Pairs in Tweet in G9:
[59] 16,19 [59] #smartgrid,#emobility [59] skip,many [59] many,events [59] events,year [59] year,exchanging [59] exchanging,ideas [59] ideas,canceled [59] canceled,hosting [59] hosting,very Top Word Pairs in Tweet in G10:
[39] full,electric [39] read,#selfdrivingcars [35] #selfdrivingcars,news [35] #connectedcars,#iot [35] #iot,#emobility [35] #emobility,#smartcity [35] #smartcity,#autonomouscar [35] #autonomouscar,#driverless [35] #driverless,#cars [35] #cars,#automotive Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: