The graph represents a network of 86 Twitter users whose recent tweets contained "#SMR (nuclear OR ydinvoima)", 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 Wednesday, 06 November 2019 at 09:26 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 49-minute period from Monday, 28 October 2019 at 14:11 UTC to Tuesday, 05 November 2019 at 22:01 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.
Author Description
Vertices : 86
Unique Edges : 139
Edges With Duplicates : 16
Total Edges : 155
Number of Edge Types : 4
Retweet : 53
Tweet : 25
Mentions : 70
Replies to : 7
Self-Loops : 26
Reciprocated Vertex Pair Ratio : 0,015748031496063
Reciprocated Edge Ratio : 0,0310077519379845
Connected Components : 16
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 21
Maximum Edges in a Connected Component : 56
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1,804428
Graph Density : 0,0176470588235294
Modularity : 0,682164
NodeXL Version : 1.0.1.421
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=215435
Data Import : The graph represents a network of 86 Twitter users whose recent tweets contained "#SMR (nuclear OR ydinvoima)", 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 Wednesday, 06 November 2019 at 09:26 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 49-minute period from Monday, 28 October 2019 at 14:11 UTC to Tuesday, 05 November 2019 at 22:01 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 : #SMR (nuclear OR ydinvoima)
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[23] small,modular [19] 50,developing [19] developing,countries [19] countries,signaled [19] signaled,interest [19] interest,nuclear [19] nuclear,including [19] including,seven [19] seven,african [19] african,nations Top Word Pairs in Tweet in G1:
[19] 50,developing [19] developing,countries [19] countries,signaled [19] signaled,interest [19] interest,nuclear [19] nuclear,including [19] including,seven [19] seven,african [19] african,nations [19] nations,#smr Top Word Pairs in Tweet in G2:
[9] #uk,industry [9] industry,group [9] group,pushes [9] pushes,#nuclear [9] #nuclear,project [9] project,financing [9] financing,model [9] model,ease [9] ease,path [9] path,more Top Word Pairs in Tweet in G3:
[10] summing,14 [10] 14,years [10] years,management [10] management,research [10] research,small [10] small,modular [10] modular,nuclear [10] nuclear,reactors [10] reactors,#smr [10] #smr,know Top Word Pairs in Tweet in G5:
[4] #auspol,#thorium [4] #thorium,#uranium [4] #uranium,#nuclear [4] #nuclear,#smr [4] #smr,#lftr [4] #lftr,#nuclearenergy [2] #smr,#nuclear [2] world,#nuclear [2] #nuclear,news Top Word Pairs in Tweet in G6:
[5] ge,hitachi [5] hitachi,nuclear [5] nuclear,energy [5] energy,fournisseur [5] fournisseur,réacteurs [5] réacteurs,avancés [5] avancés,services [5] services,nucléaires [5] nucléaires,américain [5] américain,vient Top Word Pairs in Tweet in G7:
[2] hallitus,voisi [2] liandersson,jussipullinen Top Word Pairs in Tweet in G8:
[7] #nuclear,energy [6] small,modular [4] modular,reactors [4] reactors,#smr [3] need,#nuclear [3] #smr,liquid [3] liquid,fuel [3] #lftr,yes [3] philippines,present [3] present,#nuclear Top Word Pairs in Tweet in G9:
[5] #nuclear,energy [5] yes,#auspol [5] #auspol,need [4] need,#thorium [4] #thorium,uranium [4] uranium,need [4] need,#nuclear [4] energy,#smr [4] #smr,#lftr [4] #lftr,yes Top Word Pairs in Tweet in G10:
[2] l'europe,fait [2] fait,humilier [2] humilier,juste [2] juste,titre [2] titre,propre [2] propre,terrain [2] terrain,faute [2] faute,eu_commission [2] eu_commission,castrée [2] castrée,par Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G7:
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: