The graph represents a network of 611 Twitter users whose recent tweets contained "IONITY OR @IONITY_EU OR #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, 15 November 2021 at 12:42 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 44-minute period from Saturday, 06 November 2021 at 15:45 UTC to Monday, 15 November 2021 at 12:29 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 : 625
Unique Edges : 973
Edges With Duplicates : 1562
Total Edges : 2535
Number of Edge Types : 5
Mentions : 1454
Replies to : 598
Retweet : 136
MentionsInRetweet : 124
Tweet : 223
Self-Loops : 223
Reciprocated Vertex Pair Ratio : 0.122618061309031
Reciprocated Edge Ratio : 0.218450184501845
Connected Components : 69
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 456
Maximum Edges in a Connected Component : 1988
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.151832
Graph Density : 0.00347435897435897
Modularity : 0.38544
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 611 Twitter users whose recent tweets contained "IONITY OR @IONITY_EU OR #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, 15 November 2021 at 12:42 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 44-minute period from Saturday, 06 November 2021 at 15:45 UTC to Monday, 15 November 2021 at 12:29 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 OR @IONITY_EU OR #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:
[32] https,ionity [32] ionity,services [32] services,com [32] _markgallagher,ionity_eu [25] skodade,ionity_eu [20] warning,currently [20] currently,assume [20] assume,customers [20] customers,being [20] being,contacted Top Word Pairs in Tweet in G1:
[32] _markgallagher,ionity_eu [27] https,ionity [27] ionity,services [27] services,com [17] warning,currently [17] currently,assume [17] assume,customers [17] customers,being [17] being,contacted [17] contacted,phone Top Word Pairs in Tweet in G2:
[17] electricfelix,ionity_eu [13] julienparis86,ionity_eu [10] nordicevs,evrijders [10] evrijders,ellenhiepr [10] ellenhiepr,tesla [9] c,est [8] electricfelix,nordicevs [7] dtoulouze,ionity_eu [6] julienparis86,dtoulouze [5] broken,chargers Top Word Pairs in Tweet in G3:
[17] epicwinningmaz,katefantom [17] katefantom,fullychargeddan [17] evnewsdaily,raimonick [17] raimonick,bobbyllew [17] bobbyllew,106euan [17] 106euan,zap_map [16] fullychargeddan,evnewsdaily [15] the_plugseeker,epicwinningmaz [14] zap_map,nationalgriduk [10] takeitev,the_plugseeker Top Word Pairs in Tweet in G4:
[15] road,#cop26 [15] #cop26,750km [15] 750km,drive [15] drive,south [15] south,coast [15] coast,england [15] england,cop26's [15] cop26's,host [15] host,city [15] city,glasgow Top Word Pairs in Tweet in G5:
[9] schneider,electric [5] entscheidender,faktor [5] faktor,zur [5] zur,erreichung [5] klimaziele,schneider [5] electric,ionity [5] ionity,sorgen [5] sorgen,gemeinsam [5] gemeinsam,eine [5] eine,alltagstaugliche Top Word Pairs in Tweet in G6:
[20] skodade,ionity_eu [8] stang2k,skodade [8] stang2k,planwerk [8] planwerk,skodade [6] christiank85,stang2k [4] schwunkvoll,volkswagen [4] volkswagen,ionity_eu [3] #emobility,#elektromobilität [3] technikjuli,stang2k [2] #skoda,#enyaq Top Word Pairs in Tweet in G7:
[6] preisen,wäre [6] wäre,vgl [6] vgl,zum [6] zum,skoda [6] skoda,benziner [6] benziner,davor [6] davor,hatten [6] hatten,sogar [6] sogar,billiger [6] billiger,unseren Top Word Pairs in Tweet in G8:
[3] cualencon,siemens_france [3] siemens_france,ornedepartement [3] ornedepartement,tendanceouest [2] vinciautoroutes,ionity_eu [2] maison,dieu Top Word Pairs in Tweet in G9:
[9] 6,months [8] added,6 [7] ionity,400 [7] 400,chargers [7] chargers,total [7] total,8 [7] 8,tesla [7] tesla,added [2] 60k,km [2] violate,rules Top Word Pairs in Tweet in G10:
[7] cargacoches,electromaps [6] ionity_eu,wenea_energy [4] solitario,suc [4] suc,tesla [4] tesla,ariza [4] ariza,mí [4] mí,va [4] va,ruta [4] ruta,gerona [4] gerona,madrid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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 G4:
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: