The graph represents a network of 219 Twitter users whose recent tweets contained "energypoverty AND europe", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 12/31/2023 5:21:24 PM. The network was obtained from Twitter on Wednesday, 17 January 2024 at 10:25 UTC.
The tweets in the network were tweeted over the 756-day, 8-hour, 6-minute period from Wednesday, 22 December 2021 at 09:18 UTC to Wednesday, 17 January 2024 at 17:25 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 219
Unique Edges : 219
Edges With Duplicates : 124
Total Edges : 343
Number of Edge Types : 6
Tweet : 89
MentionsInReplyTo : 31
Replies to : 18
Mentions : 153
Quote : 25
MentionsInQuote : 27
Self-Loops : 111
Reciprocated Vertex Pair Ratio : 0.053475935828877
Reciprocated Edge Ratio : 0.101522842639594
Connected Components : 53
Single-Vertex Connected Components : 28
Maximum Vertices in a Connected Component : 94
Maximum Edges in a Connected Component : 214
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.172183
Graph Density : 0.00412634577520841
Modularity : 0.556352
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 219 Twitter users whose recent tweets contained "energypoverty AND europe", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 12/31/2023 5:21:24 PM. The network was obtained from Twitter on Wednesday, 17 January 2024 at 10:25 UTC.
The tweets in the network were tweeted over the 756-day, 8-hour, 6-minute period from Wednesday, 22 December 2021 at 09:18 UTC to Wednesday, 17 January 2024 at 17:25 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : energypoverty AND europe
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:
[48] energy,poverty [34] #energypoverty,europe [19] tackle,#energypoverty [12] tackling,#energypoverty [10] energy,bills [9] people,europe [9] energy,transition [8] poverty,europe [7] 13,00 [7] national,reflections Top Word Pairs in Tweet in G1:
[7] people,europe [6] monthly,income [6] meaning,spend [6] spend,10 [6] europe,central [6] 10,monthly [6] experience,#energypoverty [6] asia,experience [6] heating,solutions [6] efficient,clean Top Word Pairs in Tweet in G2:
[3] poverty,effectively [3] energy,poverty [3] europe,fight [3] fight,energy Top Word Pairs in Tweet in G3:
[6] central,eastern [6] energy,poverty [5] european,parliament [5] #gender,#health [4] 13,00 [4] righttoenergy,epah_eu [4] policy,session [4] epah_eu,powerpoor_eu [4] #health,mediterranean [4] powerpoor_eu,green_europe Top Word Pairs in Tweet in G4:
[4] energy,bills [4] pushing,millions [4] bills,pushing [4] high,energy [4] millions,#energypoverty [3] tackle,#energypoverty [3] homes,winter [3] afford,heat [3] #energypoverty,threatening [3] capacity,building Top Word Pairs in Tweet in G5:
[11] energy,poverty [5] recognises,vital [5] vital,role [5] eu_commision's,recommendation [5] concerns,countries [5] #energypoverty,concerns [5] role,#energycommunities [5] examples,analysis [5] recommendation,energy [5] #energycommunities,tackling Top Word Pairs in Tweet in G6:
[13] #energypoverty,europe [8] tackle,#energypoverty [8] energy,poverty [7] national,reflections [5] online,course [5] exciting,news [5] lunch,talk [4] #energypoverty,levels [4] socio,economic [4] climate,housing Top Word Pairs in Tweet in G8:
[2] griffin,theresaeurope [2] real,cost [2] theresa,griffin [2] price,crisis [2] energy,price [2] europe,energy [2] cost,europe Top Word Pairs in Tweet in G9:
[2] #energypoverty,europe [2] energy,poverty Top Word Pairs in Tweet in G10:
[3] #energypoverty,europe [2] #socialhousing,providers [2] fight,#energypoverty Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: