The graph represents a network of 156 Twitter users whose recent tweets contained "EnBW AND 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, 23 March 2020 at 08:28 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 31-minute period from Thursday, 19 March 2020 at 13:00 UTC to Saturday, 21 March 2020 at 13:31 UTC.
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 : 156
Unique Edges : 295
Edges With Duplicates : 313
Total Edges : 608
Number of Edge Types : 5
MentionsInRetweet : 134
Mentions : 329
Replies to : 106
Retweet : 6
Tweet : 33
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0.0521978021978022
Reciprocated Edge Ratio : 0.0992167101827676
Connected Components : 24
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 132
Maximum Edges in a Connected Component : 584
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.289628
Graph Density : 0.0158395368072787
Modularity : 0.31276
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 156 Twitter users whose recent tweets contained "EnBW AND 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, 23 March 2020 at 08:28 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 31-minute period from Thursday, 19 March 2020 at 13:00 UTC to Saturday, 21 March 2020 at 13:31 UTC.
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 : EnBW AND 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[98] enbw,ionity_eu [22] ionity_eu,adac [22] adac,maingauenergie [21] nextmove_de,enbw [20] ab,2 [20] mobility,#ionity [19] #emobility,update [19] update,ab [19] 2,4 [19] 4,20 Top Word Pairs in Tweet in G1:
[46] enbw,ionity_eu [18] #emobility,update [18] update,ab [18] ab,2 [18] 2,4 [18] 4,20 [18] 20,laden [18] laden,#enbw [18] #enbw,mobility [18] mobility,#ionity Top Word Pairs in Tweet in G2:
[4] enbw,mobility [4] ionity,enbw [3] danke,#enbw [3] #enbw,ihr [3] ihr,#courage [3] #courage,habt [3] habt,#ionity [3] #ionity,aus [3] aus,euren [3] euren,ladesäulenverzeichnis Top Word Pairs in Tweet in G3:
[28] enbw,ionity_eu [22] ionity_eu,adac [22] adac,maingauenergie [19] nextmove_de,enbw [5] felixloe,nextmove_de [3] zum,2 [3] 2,april [3] april,dem [3] dem,1 [3] 1,april Top Word Pairs in Tweet in G4:
[7] #emobility,news [7] news,enbw [7] enbw,schmeißt [7] schmeißt,ionity_eu [7] ionity_eu,raus [7] raus,#vw [7] #vw,chef [7] chef,diess [7] diess,äußert [7] äußert,sich Top Word Pairs in Tweet in G5:
[11] enbw,ionity_eu [10] emobly,enbw [4] e,mobilität [3] eur,kwh [2] pretty,huge [2] 2,april [2] 0,33 [2] 33,eur [2] als,kunde [2] kunde,hyundai_de Top Word Pairs in Tweet in G6:
[4] enbw,ionity_eu [3] edison_media,enbw [3] enbw,kunden [3] kunden,können [3] können,ab [3] ab,1 [3] 1,april [3] april,mehr [3] mehr,ionity_eu [3] ionity_eu,strom Top Word Pairs in Tweet in G7:
[5] ionity,preispolitik [4] preispolitik,führt [4] führt,zerwürfnis [3] zerwürfnis,enbw [3] epionier,maingauenergie [3] maingauenergie,enbw [3] enbw,ionity_eu [3] dass,sie [2] da,hat [2] hat,gerumst Top Word Pairs in Tweet in G8:
[3] enbw,ionity_eu [3] ionity_eu,fastned [2] ledsdoitnow,enbw Top Word Pairs in Tweet in G9:
[3] schritt,nur [3] nur,logisch [3] logisch,ionity_eu [3] ionity_eu,hatte [3] hatte,ja [3] ja,bessere [3] bessere,konditionen [3] konditionen,große [3] große,emp [3] emp,versprochen Top Word Pairs in Tweet in G10:
[2] roaming,partnerschaft [2] partnerschaft,enbw [2] enbw,ionity [2] ionity,liegt [2] liegt,eis [2] eis,streit [2] streit,höhe [2] höhe,ladeentgelte [2] ladeentgelte,e [2] e,autos Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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 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: