The graph represents a network of 617 Twitter users whose recent tweets contained "IONITY AND BMW", 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 Tuesday, 21 January 2020 at 10:09 UTC.
The tweets in the network were tweeted over the 4-day, 17-hour, 8-minute period from Thursday, 16 January 2020 at 16:57 UTC to Tuesday, 21 January 2020 at 10:06 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 : 617
Unique Edges : 775
Edges With Duplicates : 269
Total Edges : 1044
Number of Edge Types : 5
Replies to : 210
Mentions : 333
Tweet : 121
Retweet : 333
MentionsInRetweet : 47
Self-Loops : 122
Reciprocated Vertex Pair Ratio : 0.0278145695364238
Reciprocated Edge Ratio : 0.0541237113402062
Connected Components : 88
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 217
Maximum Edges in a Connected Component : 577
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.907192
Graph Density : 0.0020417184112484
Modularity : 0.608887
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 617 Twitter users whose recent tweets contained "IONITY AND BMW", 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 Tuesday, 21 January 2020 at 10:09 UTC.
The tweets in the network were tweeted over the 4-day, 17-hour, 8-minute period from Thursday, 16 January 2020 at 16:57 UTC to Tuesday, 21 January 2020 at 10:06 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 : IONITY AND BMW
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:
[268] pro,100 [268] 100,kilometer [238] bmw,i3 [138] einem,bmw [135] einem,sparsamen [135] sparsamen,elektroauto [135] elektroauto,einem [135] kosten,100 [135] 100,autobahnkilometer [135] autobahnkilometer,somit Top Word Pairs in Tweet in G1:
[242] pro,100 [242] 100,kilometer [121] einem,sparsamen [121] sparsamen,elektroauto [121] elektroauto,einem [121] einem,bmw [121] bmw,i3 [121] i3,16 [121] 16,kwh [121] kwh,verbrauch Top Word Pairs in Tweet in G2:
[104] bmw,i3 [94] hochgeschwindigkeitsladenetz,ionity [94] ionity,erhöht [94] erhöht,seine [94] seine,preise [94] preise,drastisch [94] drastisch,einmal [94] einmal,einen [94] einen,porsche [94] porsche,taycan Top Word Pairs in Tweet in G3:
[18] charging,cost [17] bmw,daimler [13] porsche,taycan [13] taycan,turbo [13] vw,bmw [12] cost,73 [11] ionity_eu,increases [11] increases,charging [11] cost,drastically [11] drastically,making Top Word Pairs in Tweet in G4:
[12] ford,hyundai [9] bmw,daimler [8] hyundai,kia [7] audi,porsche [7] ionity_eu,tesla [6] 0,79 [6] ev,charging [6] daimler,ford [5] ionity,increase [5] increase,price Top Word Pairs in Tweet in G5:
[9] daimler,ford [8] audi,porsche [8] bmw,daimler [7] 0,79 [6] per,kwh [6] volkswagen,group [5] bmw,mercedes [5] charging,network [5] owned,bmw [5] ford,hyundai Top Word Pairs in Tweet in G6:
[67] eur,kwh [44] 0,33 [44] 33,eur [24] bmw,vw [22] neue,#ionity [22] #ionity,ad [22] ad,hoc [22] hoc,preis [22] preis,gilt [22] gilt,ladetarif Top Word Pairs in Tweet in G7:
[13] nextmove_de,ionity_eu [10] bmw,daimler [8] 0,33 [7] 0,30 [6] eur,kwh [6] ionity_eu,fastned [5] vw,bmw [4] 33,eur [4] daimler,vw [4] bmw,mercedes Top Word Pairs in Tweet in G8:
[10] per,kwh [8] polarnetwork,au_tom_otive [7] ionity_eu,polarnetwork [6] derrickra,ionity_eu [5] mascord,ionity_eu [4] ionity,chargers [4] 33cents,per [4] abudhabidude,derrickra [4] p,kwh [3] ionity_eu,pricing Top Word Pairs in Tweet in G9:
[36] pro,kwh [18] angekündigt,haben [18] haben,bmw [18] bmw,daimler [18] daimler,vw [18] vw,ford [18] ford,ihre [18] ihre,ladestationen [18] ladestationen,nun [18] nun,kräftig Top Word Pairs in Tweet in G10:
[11] ja,moin [11] moin,ionity [11] ionity,verlangt [11] verlangt,e [11] e,auto [11] auto,fahrern [11] fahrern,79ct [11] 79ct,pro [11] pro,kwh [11] kwh,einen Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: