The graph represents a network of 219 Twitter users whose recent tweets contained "@IONITY_EU", 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 16:47 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 54-minute period from Wednesday, 13 November 2019 at 07:38 UTC to Thursday, 21 November 2019 at 16:32 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 : 219
Unique Edges : 304
Edges With Duplicates : 285
Total Edges : 589
Number of Edge Types : 4
Replies to : 107
Mentions : 405
Retweet : 70
Tweet : 7
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0.08
Reciprocated Edge Ratio : 0.148148148148148
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 219
Maximum Edges in a Connected Component : 589
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.701445
Graph Density : 0.00848309664446399
Modularity : 0.43979
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 219 Twitter users whose recent tweets contained "@IONITY_EU", 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 16:47 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 54-minute period from Wednesday, 13 November 2019 at 07:38 UTC to Thursday, 21 November 2019 at 16:32 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 : @IONITY_EU
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:
[40] #emobility,#elektromobilitaet [34] high,power [33] power,charging [31] #ionity,#emobility [29] great,news [27] charging,network [26] news,#austria [26] #austria,first [26] first,country [26] country,pan Top Word Pairs in Tweet in G1:
[35] #emobility,#elektromobilitaet [29] high,power [29] #ionity,#emobility [28] power,charging [25] great,news [25] news,#austria [25] #austria,first [25] first,country [25] country,pan [25] pan,european Top Word Pairs in Tweet in G2:
[2] hope,likes [2] likes,gridserve_hq [2] gridserve_hq,ionity_eu [2] ionity_eu,fastned [2] fastned,providing [2] providing,input [2] input,ev [2] ev,conversions [2] conversions,use [2] use,hpc Top Word Pairs in Tweet in G3:
[7] daimler,ford [5] ionity_eu,joint [5] joint,venture [4] bmw,daimler [4] vwgroup,porsche [3] stations,europe [3] audiofficial,porschenewsroom [3] porschenewsroom,bmwgroup [3] bmwgroup,daimler [3] da,ionity_eu Top Word Pairs in Tweet in G4:
[7] gerardopetin,ionity_eu [6] miguelpajel,gerardopetin [6] ionity_eu,km77com [5] alf_reguart,ionity_eu [4] teslaparatodos,miguelpajel [4] dos,postes [3] día,hoy [3] 100,cargadores [3] hace,semana [3] semana,estaban Top Word Pairs in Tweet in G5:
[10] tesla,ionity_eu [9] ionity_eu,tesla [5] maarteneekels,tesla [4] vwgroup,tesla [4] c,est [3] tuomassauliala,vwgroup [3] les,thermiques [3] cdbdsf,ionity_eu [2] jasoosterveld,maarteneekels [2] jasoosterveld,tesla Top Word Pairs in Tweet in G6:
[2] #elektromobilność,#elektroauto [2] #elektroauto,jedyny [2] jedyny,segment [2] segment,rynku [2] rynku,#automoto [2] #automoto,gdzie [2] gdzie,były [2] były,są [2] są,będą [2] będą,wzrosty Top Word Pairs in Tweet in G7:
[4] paulmullett,toyotauk [4] toyotauk,she_selectric [4] she_selectric,polarnetwork [3] morereasonsthan,paulmullett [3] polarnetwork,ionity_eu [2] rapid,chargers [2] charge,point [2] point,funding Top Word Pairs in Tweet in G8:
[5] high,power [5] power,charging [4] #emobility,#elektromobilitaet [2] ionity,high [2] charging,park [2] park,goes [2] goes,live [2] live,gretna [2] gretna,green [2] green,scotland Top Word Pairs in Tweet in G9:
[6] ionity_eu,andischeuer [3] studiinvest,ionity_eu [3] andischeuer,iotatoken [3] allegocharging,ionity_eu [3] andischeuer,neue [3] neue,#masterplan [3] #masterplan,#emobility [3] #emobility,gut [3] gut,gelungen [3] gelungen,wer Top Word Pairs in Tweet in G10:
[4] audittsquattro1,ionity_eu [4] evcarmike,ionity_eu [2] ionity_eu,mercedesbenz [2] give,information [2] installations,countries [2] christianhaberl,ionity_eu [2] ionity,refuse [2] end,2020 [2] 8,months 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 G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: