The graph represents a network of 3,778 Twitter users whose recent tweets contained "#emobility", 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, 21 November 2019 at 14:34 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 15-minute period from Tuesday, 12 November 2019 at 09:00 UTC to Thursday, 21 November 2019 at 14:15 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 : 3778
Unique Edges : 7083
Edges With Duplicates : 3887
Total Edges : 10970
Number of Edge Types : 4
Mentions : 5618
Retweet : 3891
Tweet : 1071
Replies to : 390
Self-Loops : 1131
Reciprocated Vertex Pair Ratio : 0.0235262665419062
Reciprocated Edge Ratio : 0.0459710069217709
Connected Components : 442
Single-Vertex Connected Components : 237
Maximum Vertices in a Connected Component : 2841
Maximum Edges in a Connected Component : 9662
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.386329
Graph Density : 0.000536598814282709
Modularity : 0.600251
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,778 Twitter users whose recent tweets contained "#emobility", 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, 21 November 2019 at 14:34 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 15-minute period from Tuesday, 12 November 2019 at 09:00 UTC to Thursday, 21 November 2019 at 14:15 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
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 Entire Graph:
[637] e,autos [557] unseren,straßen [554] wenn,1 [554] 1,mio [554] mio,e [554] autos,unseren [554] straßen,350 [554] 350,gigawatt [554] gigawatt,benötigt [554] benötigt,werden Top Word Pairs in Tweet in G1:
[552] e,autos [551] wenn,1 [551] 1,mio [551] mio,e [551] autos,unseren [551] unseren,straßen [551] straßen,350 [551] 350,gigawatt [551] gigawatt,benötigt [551] benötigt,werden Top Word Pairs in Tweet in G2:
[114] #emobility,#elektroauto [69] #elektroauto,#emobility [57] lenkrad,2019 [56] electric,mobility [51] #tesla,#model3 [49] e,mobility [48] e,autos [46] #mission2030,100 [45] million,electric [45] #emobility,#elektromobilität Top Word Pairs in Tweet in G3:
[45] charging,infrastructure [42] #emobility,charging [26] #gigafactory,really [26] really,old [26] old,news [26] news,#berlin [26] #berlin,always [26] always,capital [26] capital,#emobility [26] #emobility,siemensmobility Top Word Pairs in Tweet in G4:
[14] e,mobility [12] #emobility,#elektromobilität [7] #emobilität,#emobility [7] #siemens,helping [7] helping,accelerate [7] accelerate,technology [7] technology,innovation [7] innovation,emobility [7] emobility,urban [7] urban,sustainability Top Word Pairs in Tweet in G5:
[66] big,#emobility [66] 2020,electric [66] available,ecitaro [66] ecitaro,g [66] g,larger [66] larger,version [66] version,room [66] room,145 [66] 145,passengers [57] #emobility,beginning Top Word Pairs in Tweet in G6:
[34] #digitaltransformation,market [34] market,leader [34] leader,#abb [34] #abb,excited [34] excited,kick [34] kick,sixth [34] sixth,season [34] season,fiaformulae [34] fiaformulae,showcase [34] showcase,innovative Top Word Pairs in Tweet in G7:
[68] #endesax,#enelx [58] #enelx,#emobility [56] #endesachallenges,#emobility [53] #valenciagp,#xforspeed [47] #emobility,#valenciagp [46] #endesachallenges,#enelx [44] #motoe,#endesax [41] #endesachallenges,#endesax [40] #enelx,#valenciagp [34] #xforspeed,#enelx Top Word Pairs in Tweet in G8:
[147] id,space [147] space,vizzion [86] vizzion,concept [86] concept,car [49] electric,id [45] #emobility,#electricmobility [42] #evtech2019,#autotechreview [41] world,premiere [38] #laautoshow,#emobility [37] #vwoa,id Top Word Pairs in Tweet in G9:
[26] polityka,insight [26] współpracy,z [26] z,fppepl [26] elektromobilnych,miast [26] #emobility,#ranking [26] #ranking,#elektromobilność [24] insight,współpracy [24] fppepl,przygotowała [24] przygotowała,ranking [24] ranking,elektromobilnych Top Word Pairs in Tweet in G10:
[26] #emobility,#elektromobilitaet [20] high,power [20] #ionity,#emobility [19] power,charging [16] great,news [16] news,#austria [16] #austria,first [16] first,country [16] country,pan [16] pan,european Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
Top Mentioned in G8:
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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: