The graph represents a network of 156 Twitter users whose recent tweets contained "#SDGcities", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Friday, 02 October 2020 at 05:50 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Wednesday, 23 September 2020 at 10:20 UTC to Friday, 02 October 2020 at 05:48 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 : 156
Unique Edges : 565
Edges With Duplicates : 792
Total Edges : 1357
Number of Edge Types : 5
Mentions : 253
MentionsInRetweet : 769
Retweet : 283
Tweet : 45
Replies to : 7
Self-Loops : 45
Reciprocated Vertex Pair Ratio : 0.131297709923664
Reciprocated Edge Ratio : 0.232118758434548
Connected Components : 9
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 132
Maximum Edges in a Connected Component : 1336
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.175485
Graph Density : 0.0306451612903226
Modularity : 0.225204
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 156 Twitter users whose recent tweets contained "#SDGcities", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Friday, 02 October 2020 at 05:50 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Wednesday, 23 September 2020 at 10:20 UTC to Friday, 02 October 2020 at 05:48 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 : #SDGcities
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:
[100] #sdgcities,#msdsocial [77] climate,change [63] change,cities [50] #sdgcities,symposium [43] cities,symposium [38] sdgs,climate [32] #sdgcities,#climatechange [28] bcsdaustralia,banksiafdn [25] development,goals [23] chingyu,yao Top Word Pairs in Tweet in G1:
[43] #sdgcities,#msdsocial [33] #sdgcities,symposium [31] climate,change [25] change,cities [18] chingyu,yao [16] cities,symposium [13] sdgs,climate [12] development,goals [12] goals,climate [12] virtual,symposium Top Word Pairs in Tweet in G2:
[11] join,exciting [11] exciting,discussion [11] discussion,#vlr [11] #vlr,voluntary [11] voluntary,local [11] local,reviews [11] reviews,unhabitat's [11] unhabitat's,#sdgcities [11] #sdgcities,global [11] global,initiative Top Word Pairs in Tweet in G3:
[24] #sdgcities,#msdsocial [22] climate,change [18] change,cities [18] bcsdaustralia,banksiafdn [15] networkedcities,bcsdaustralia [13] sdgs,climate [11] cities,symposium [8] banksiafdn,arupaustralasia [7] #sdgcities,#climatechange [7] #sdgcities,symposium Top Word Pairs in Tweet in G4:
[29] #sdgcities,#msdsocial [19] climate,change [17] change,cities [13] cities,symposium [9] sdgs,climate [8] #sdgcities,symposium [7] sustainable,development [7] development,goals [7] goals,climate [6] symposium,#sdgcities Top Word Pairs in Tweet in G5:
[10] #sdgcities,#climatechange [6] #climatechange,symposium [5] unimelb,#sdgcities [3] climate,change [3] final,plenary [3] plenary,sustainvic [3] sustainvic,msdsocial [3] msdsocial,mssimelb [3] mssimelb,bcsdaustralia [3] bcsdaustralia,#sdgcities Top Word Pairs in Tweet in G7:
[3] sdg,weekender [3] weekender,right [3] right,corner [3] corner,17 [3] 17,speakers [3] speakers,cover [3] cover,17 [3] 17,sdgs [3] sdgs,goal [3] goal,start Top Word Pairs in Tweet in G9:
[2] #nigeria,#globalgoals [2] #globalgoals,#sdgactionzone [2] #sdgactionzone,#sdgcities [2] #sdgcities,#school [2] #school,#schoolsreopening [2] #schoolsreopening,#we [2] #we,#helpingithappen [2] #helpingithappen,#help [2] #help,#who [2] #who,#classroom Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: