The graph represents a network of 171 Twitter users whose recent tweets contained "theirworld", 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 Tuesday, 14 September 2021 at 15:11 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 47-minute period from Monday, 06 September 2021 at 12:10 UTC to Tuesday, 14 September 2021 at 13:57 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 : 171
Unique Edges : 350
Edges With Duplicates : 237
Total Edges : 587
Number of Edge Types : 5
Replies to : 28
Mentions : 191
MentionsInRetweet : 225
Retweet : 114
Tweet : 29
Self-Loops : 32
Reciprocated Vertex Pair Ratio : 0,0690537084398977
Reciprocated Edge Ratio : 0,129186602870813
Connected Components : 8
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 163
Maximum Edges in a Connected Component : 579
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,476542
Graph Density : 0,0143790849673203
Modularity : 0,457242
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 171 Twitter users whose recent tweets contained "theirworld", 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 Tuesday, 14 September 2021 at 15:11 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 47-minute period from Monday, 06 September 2021 at 12:10 UTC to Tuesday, 14 September 2021 at 13:57 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 : theirworld
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:
[34] refugee,children [23] global,youth [22] young,people [18] youth,ambassador [17] quality,education [14] 2021,#wiseawards [14] project,helps [13] hope,refugee [13] unlocking,big [13] big,change Top Word Pairs in Tweet in G1:
[15] young,people [15] refugee,children [11] quality,education [9] global,youth [9] hope,refugee [8] unlocking,big [8] big,change [8] join,theirworld [7] salimpotter,theirworld [7] 10,education Top Word Pairs in Tweet in G2:
[13] refugee,children [11] 2021,#wiseawards [10] trauma,informed [10] informed,schools [10] global,youth [10] youth,ambassador [9] #wiseawards,winners [9] project,helps [9] children,deal [9] deal,trauma Top Word Pairs in Tweet in G3:
[7] theirworld,gpforeducation [4] refugee,children [4] #internationalliteracyday,pledge [4] pledge,work [4] work,narrowing [4] narrowing,digital [4] digital,divide [4] divide,innovative [4] innovative,cost [4] cost,digital Top Word Pairs in Tweet in G4:
[4] boy,girl [4] girl,right [4] right,education [4] education,fear [4] fear,violence [4] violence,attack [4] attack,education [4] education,future [4] future,world [4] world,generation Top Word Pairs in Tweet in G5:
[4] help,raise [4] raise,250000 [4] 250000,build [4] build,school [4] school,children [4] children,koh [4] koh,tao [4] tao,afford [4] afford,education [4] education,#donate Top Word Pairs in Tweet in G6:
[3] community,respective [3] respective,networks [3] networks,investment [3] investment,journey [3] journey,apoliticalacad [3] apoliticalacad,alacademy [3] alacademy,jgfellowship [3] jgfellowship,theirworld [3] theirworld,dohadebates [3] dohadebates,witsuniversity Top Word Pairs in Tweet in G7:
[2] evaunicef,theirworld [2] theirworld,yinkafafoluyi [2] yinkafafoluyi,pednation07 [2] pednation07,marfuhabdul [2] marfuhabdul,ancientpriest01 [2] ancientpriest01,moghalukingsley Top Word Pairs in Tweet in G8:
[4] advocate,good [3] hamzycode,theirworld [2] wrote,project [2] project,improve [2] improve,lives [2] lives,vulnerable [2] vulnerable,gain [2] gain,access [2] access,proper [2] proper,education Top Word Pairs in Tweet in G10:
[7] great_run,theirworld [4] jowett_dave,great_run Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G10:
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: