The graph represents a network of 414 Twitter users whose recent tweets contained "#evcharging", 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 Thursday, 21 November 2019 at 18:13 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 14-minute period from Tuesday, 12 November 2019 at 14:54 UTC to Thursday, 21 November 2019 at 18:08 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 : 414
Unique Edges : 452
Edges With Duplicates : 292
Total Edges : 744
Number of Edge Types : 4
Mentions : 386
Retweet : 188
Tweet : 158
Replies to : 12
Self-Loops : 169
Reciprocated Vertex Pair Ratio : 0.04
Reciprocated Edge Ratio : 0.0769230769230769
Connected Components : 113
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 67
Maximum Edges in a Connected Component : 137
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.541574
Graph Density : 0.0025850674339989
Modularity : 0.613008
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 414 Twitter users whose recent tweets contained "#evcharging", 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 Thursday, 21 November 2019 at 18:13 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 14-minute period from Tuesday, 12 November 2019 at 14:54 UTC to Thursday, 21 November 2019 at 18:08 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 : #evcharging
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:
[74] ev,charging [69] #electricvehicles,#evcharging [51] more,info [49] #evc,#electricvehicles [47] electric,vehicle [44] #ev,#evcharging [42] #evcharging,#electricvehicles [35] #evcharging,procureevc [35] procureevc,more [34] charging,points Top Word Pairs in Tweet in G1:
[12] ev,charging [8] find,out [7] #evcharging,#ev [6] #tesla,#evcharging [5] electric,vehicle [5] #ev,#evcharging [5] charging,infrastructure [5] #ev,#evc [4] out,more [4] electric,car Top Word Pairs in Tweet in G2:
[15] #evcharging,#electricvehicles [13] #byton,customers [13] customers,enjoy [13] enjoy,2yrs [13] 2yrs,complimentary [13] complimentary,charging [13] charging,electrifyam [13] electrifyam,ultra [13] ultra,fast [13] fast,public Top Word Pairs in Tweet in G3:
[6] ev,charging [5] #electricvehicles,#evcharging [4] myenergi,best [4] best,chargers [4] chargers,found [4] found,highly [4] highly,recommend [4] recommend,#evcharging [4] #evcharging,#electriccars [4] #electriccars,#electricvehicle Top Word Pairs in Tweet in G4:
[10] #electricvehicles,#ev [10] #ev,#evcharging [9] #evcharging,#energystorage [9] #energystorage,#cleanenergy [8] drive,electric [8] workplace,#evcharging [6] ev,charging [6] charging,work [6] work,makes [6] makes,employees Top Word Pairs in Tweet in G5:
[4] #emove360,europe [4] #evcharging,#electricvehicles [4] allego,taps [4] taps,scandinavian [4] scandinavian,markets [4] markets,today [4] today,celebrated [4] celebrated,opening [4] opening,new [4] new,office Top Word Pairs in Tweet in G6:
[8] ev,charging [6] rolec,approved [5] rolec,ev [3] calling,rolec [3] approved,#installers [3] #installers,forget [3] forget,tag [3] tag,mention [3] mention,#evcharging [3] #evcharging,point Top Word Pairs in Tweet in G7:
[9] bp,chargemaster [9] chargemaster,public [9] public,charging [9] charging,points [9] points,powering [9] powering,up [9] up,1 [9] 1,5 [9] 5,million [9] million,electric Top Word Pairs in Tweet in G8:
[5] #evcharging,#dc [5] #dc,50kw [5] #globalny,#mega [5] #mega,#trend [4] nasz,#champion [4] #champion,pkn_orlen [4] w,#globalny [3] pkn_orlen,danielobajtek [3] morawieckim,wozny3 [3] z,#elektromobilność Top Word Pairs in Tweet in G9:
[13] #ev,#evcharging [13] #sustainability,#sdgs [11] mobility,basic [11] basic,human [11] human,need [11] need,healthy [11] healthy,planet [11] planet,siemens [11] siemens,developed [11] developed,complete Top Word Pairs in Tweet in G10:
[5] founder,ceo [5] ceo,heather [5] heather,hochrein [5] hochrein,echoinggreen [5] echoinggreen,fellow [5] fellow,attending [5] attending,#egsummit19 [5] #egsummit19,week [5] week,ericgarcetti [5] ericgarcetti,mayor Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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 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: