The graph represents a network of 597 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, 23 November 2020 at 12:11 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 38-minute period from Saturday, 14 November 2020 at 06:17 UTC to Monday, 23 November 2020 at 11:55 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 : 603
Unique Edges : 946
Edges With Duplicates : 1300
Total Edges : 2246
Number of Edge Types : 5
Mentions : 1141
Replies to : 528
Tweet : 255
MentionsInRetweet : 202
Retweet : 120
Self-Loops : 261
Reciprocated Vertex Pair Ratio : 0.101145038167939
Reciprocated Edge Ratio : 0.18370883882149
Connected Components : 119
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 388
Maximum Edges in a Connected Component : 1705
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.58147
Graph Density : 0.00317901081524823
Modularity : 0.416055
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 597 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, 23 November 2020 at 12:11 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 38-minute period from Saturday, 14 November 2020 at 06:17 UTC to Monday, 23 November 2020 at 11:55 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:
[72] primer,corredor [62] madrid,barcelona [61] corredor,carga [48] carga,ultrarrápida [39] ionity_eu,abbdeutschland [38] polestarcars,ionity_eu [32] cepsa,e [31] ionity_eu,cepsa_es [29] entre,madrid [28] e,ionity Top Word Pairs in Tweet in G1:
[30] ionity_eu,cepsa_es [24] primer,corredor [17] audiofficial,ionity_eu [16] #evcharging,#emobility [16] carga,ultra [16] ultra,rápida [16] porsche,audiofficial [16] ionity_eu,heiseautos [15] corredor,carga [14] cepsa_es,grupoetra Top Word Pairs in Tweet in G2:
[23] corredor,carga [22] madrid,barcelona [21] carga,ultrarrápida [19] primer,corredor [14] cepsa,e [14] e,ionity [12] ionity,cepsa [10] coches,eléctricos [9] ultrarrápida,entre [9] entre,madrid Top Word Pairs in Tweet in G3:
[7] rolandvanderput,luc400 [6] #alwaysbecharging,#ionity [6] cepsa_es,ionity_eu [6] ruisingerr,alex_avoigt [6] alex_avoigt,fastned [6] fastned,moovility_me [6] moovility_me,rolandvanderput [5] ionity_eu,fastned [5] ionity_eu,elespanolcom [4] fastned,enbw Top Word Pairs in Tweet in G4:
[14] hyundai,jumps [14] jumps,ionity [12] ceciliantonini,ionity_eu [12] ionity_eu,chargeyourcar [12] chargeyourcar,chargeplacescot [12] chargeplacescot,eonenergyuk [12] paulofrings,rtpeat [11] e,niro [9] land,s [9] s,end Top Word Pairs in Tweet in G5:
[20] madrid,barcelona [18] corredor,carga [16] primer,corredor [11] entre,madrid [10] carga,ultrarrápida [9] cepsa,asellmeijer [9] asellmeijer,ionity_eu [9] ionity_eu,moran_fernandez [8] cepsa,e [8] comunidadmadrid,estamos Top Word Pairs in Tweet in G6:
[12] charging,network [11] now,part [11] part,ionity [11] ionity,europe [11] europe,s [11] s,leading [11] leading,high [11] high,power [11] power,charging [11] network,electric Top Word Pairs in Tweet in G7:
[2] 明日はインフルエンザの予防接種,明日はインフルエンザの予防接種 Top Word Pairs in Tweet in G8:
[2] 0,30 [2] 30,kwh [2] primer,corredor [2] carga,ultrarrápida [2] madrid,barcelona Top Word Pairs in Tweet in G9:
[8] bafa_bund,bmwgroup [8] bmwgroup,ionity_eu [7] nextmove_de,bafa_bund [6] nextmove,hat [6] hat,#autogipfel [6] #autogipfel,analysiert [6] analysiert,berechnet [6] berechnet,lange [6] lange,fördertopf [6] fördertopf,#umweltbonus Top Word Pairs in Tweet in G10:
[2] ionity,säulen [2] id,3 [2] tesla,muss [2] muss,nur [2] nur,tesla [2] tesla,umgehen [2] umgehen,können [2] bartman68485744,felixba 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 Replied-To in G9:
Top Replied-To in G10:
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 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: