The graph represents a network of 821 Twitter users whose recent tweets contained "IONITY", 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, 13 June 2022 at 07:47 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 15-minute period from Saturday, 04 June 2022 at 16:21 UTC to Monday, 13 June 2022 at 07:36 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 : 847
Unique Edges : 1195
Edges With Duplicates : 2203
Total Edges : 3398
Number of Edge Types : 5
Mentions : 1882
Replies to : 831
Retweet : 168
Tweet : 397
MentionsInRetweet : 120
Self-Loops : 398
Reciprocated Vertex Pair Ratio : 0.116341627437794
Reciprocated Edge Ratio : 0.208433734939759
Connected Components : 114
Single-Vertex Connected Components : 37
Maximum Vertices in a Connected Component : 485
Maximum Edges in a Connected Component : 2281
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.68877
Graph Density : 0.00231661740365802
Modularity : 0.401258
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 821 Twitter users whose recent tweets contained "IONITY", 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, 13 June 2022 at 07:47 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 15-minute period from Saturday, 04 June 2022 at 16:21 UTC to Monday, 13 June 2022 at 07:36 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
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:
[47] ionity,shell [46] good,days [46] days,await [46] await,#evdc [46] #evdc,established [46] established,relationships [46] relationships,evdc [46] evdc,international [46] international,roaming [46] roaming,provider Top Word Pairs in Tweet in G1:
[30] gofast_swiss,ionity_eu [27] ionity_eu,fastned [23] #evcharging,#emobility [20] fast,charging [18] ionity_eu,joinbonnet [17] charging,network [17] gt,gt [17] jonock_,gofast_swiss [16] everyone,offering [16] offering,additional Top Word Pairs in Tweet in G2:
[14] electricfelix,ionity_eu [6] derdienstreiser,hagen [6] fahre,keine [6] keine,säule [5] jerub,ionity_eu [4] charge,ionity [4] ionity,fastned [4] fastned,allego [4] ionity_eu,chargefinder [4] hallo,ionity_eu Top Word Pairs in Tweet in G3:
[46] good,days [46] days,await [46] await,#evdc [46] #evdc,established [46] established,relationships [46] relationships,evdc [46] evdc,international [46] international,roaming [46] roaming,provider [46] provider,clearing Top Word Pairs in Tweet in G4:
[32] schneider,electric [24] elektromobilität,entscheidender [24] entscheidender,faktor [24] faktor,erreichung [24] erreichung,klimaziele [24] klimaziele,schneider [24] electric,ionity [24] ionity,sorgen [24] sorgen,gemeinsam [24] gemeinsam,alltagstaugliche Top Word Pairs in Tweet in G5:
[14] bobbyllew,evnewsdaily [10] epicwinningmaz,transprt_energy [10] gill_nowell,bobbyllew [10] evnewsdaily,106euan [10] 106euan,icannot_enough [10] icannot_enough,quentinwillson [10] quentinwillson,raimonick [9] katefantom,epicwinningmaz [8] transprt_energy,gill_nowell [5] fullychargeddan,katefantom Top Word Pairs in Tweet in G6:
[16] ionity_eu,kurtykamichal [16] kurtykamichal,moskwa_anna [16] moskwa_anna,marcinkorolec [16] marcinkorolec,bmw_polska [16] bmw_polska,fordpolska [16] hyundai_poland,tomasztonder [16] tomasztonder,evklubpolska [14] bderski,ionity_eu [12] samochodów,elektrycznych [11] jakubwiech,energetyka_24 Top Word Pairs in Tweet in G7:
[5] volvocars,christechloupe [5] christechloupe,sascha_p [5] sascha_p,edmagazin [5] juanheredia,journey_ev [5] kiauk,kiaukpr [4] edmagazin,audiofficial [4] audiofficial,ionity_eu [4] evpuzzle,kiauk [3] frankfeil,volvocars [3] teslap3d,juanheredia Top Word Pairs in Tweet in G8:
[4] turismoasturias,asociacionauve [4] asociacionauve,aedive [4] aedive,vwtartiere [4] cabraconkona,driver_1314 [3] energiaedp,archioviedo [3] archioviedo,turismoasturias [3] zunder_es,iberdrola [3] iberdrola,endesa [3] endesa,wenea_es [3] wenea_es,cargacoches Top Word Pairs in Tweet in G9:
[4] #renault,#megane [2] #hilden,rolandschueren [2] fabian,autophorie [2] #megane,tech [2] scaniagroup,scaniade [2] minecooky,elektroautomeme [2] elektroautomeme,chuck [2] chuck,norris [2] zurück,die [2] deutschland,ganz Top Word Pairs in Tweet in G10:
[11] nextmove_de,vwgroup [8] vw,id [7] die,woche [7] woche,geschafft [7] geschafft,zeit [7] zeit,#emobility [7] #emobility,update [7] update,themen [7] themen,#elektroauto [7] #elektroauto,zulassungszahlen Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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 G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: