The graph represents a network of 78 Twitter users whose recent tweets contained "Kingcharles and COP27", 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, 05 October 2022 at 19:17 UTC.
The tweets in the network were tweeted over the 3-day, 15-hour, 15-minute period from Saturday, 01 October 2022 at 21:18 UTC to Wednesday, 05 October 2022 at 12:34 UTC.
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 : 78
Unique Edges : 225
Edges With Duplicates : 8
Total Edges : 233
Number of Edge Types : 5
Retweet : 28
MentionsInRetweet : 142
Mentions : 41
Tweet : 9
Replies to : 13
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.0428571428571429
Reciprocated Edge Ratio : 0.0821917808219178
Connected Components : 13
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 52
Maximum Edges in a Connected Component : 200
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.590844
Graph Density : 0.0364635364635365
Modularity : 0.416327
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 78 Twitter users whose recent tweets contained "Kingcharles and COP27", 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, 05 October 2022 at 19:17 UTC.
The tweets in the network were tweeted over the 3-day, 15-hour, 15-minute period from Saturday, 01 October 2022 at 21:18 UTC to Wednesday, 05 October 2022 at 12:34 UTC.
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 : Kingcharles and COP27
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[17] #kingcharles,attend [14] #climate,summit [14] #kingcharles,#cop27 [13] attend,#climate [13] summit,#cop26 [13] #cop26,president [13] president,like [13] like,majesty [13] majesty,attend [13] attend,message Top Word Pairs in Tweet in G1:
[5] herebeproof,shelaffs [5] shelaffs,barbetta1 [5] barbetta1,sbmccallister [5] sbmccallister,sunnshiiny [5] sunnshiiny,betterw05759703 [5] betterw05759703,tentoads4truth [5] tentoads4truth,bakerstherald [5] bakerstherald,davidjwbailey [5] davidjwbailey,cockneycampaign [5] cockneycampaign,monzurahmed1 Top Word Pairs in Tweet in G2:
[13] #kingcharles,attend [13] attend,#climate [13] #climate,summit [13] summit,#cop26 [13] #cop26,president [13] president,like [13] like,majesty [13] majesty,attend [13] attend,message [13] message,countries Top Word Pairs in Tweet in G3:
[6] uk,govt [6] govt,#kingcharles [6] #kingcharles,speaking [6] speaking,#cop27 [6] history,activism [6] activism,#environment [6] #environment,#climatechange [6] #climatechange,time [6] time,#climatecrisis [6] #climatecrisis,leader Top Word Pairs in Tweet in G5:
[3] #kingcharles,attend [2] attend,#cop27 [2] attend,climate Top Word Pairs in Tweet in G6:
[5] 80,king [5] king,george [5] george,vi [5] vi,princess [5] princess,elizabeth [5] public,support [5] support,'declaration [5] 'declaration,united [5] united,nations' [5] nations',signed Top Word Pairs in Tweet in G8:
[3] amazing,'royal [3] 'royal,we' [3] we',obvious [3] obvious,dismissal [3] dismissal,#kingcharles [3] #kingcharles,#cop27 [3] #cop27,describing [3] describing,'we [3] 'we,learnt [3] learnt,lessons' Top Word Pairs in Tweet in G10:
[2] #kingcharles,spine [2] spine,stuck [2] stuck,middle [2] middle,finger [2] finger,#trusscatastrophicbudget [2] #trusscatastrophicbudget,#cop27 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: