The graph represents a network of 184 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, 31 August 2021 at 13:11 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 32-minute period from Monday, 23 August 2021 at 09:33 UTC to Tuesday, 31 August 2021 at 13:06 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 : 184
Unique Edges : 373
Edges With Duplicates : 189
Total Edges : 562
Number of Edge Types : 5
Mentions : 120
MentionsInRetweet : 263
Retweet : 147
Replies to : 5
Tweet : 27
Self-Loops : 36
Reciprocated Vertex Pair Ratio : 0,0467980295566502
Reciprocated Edge Ratio : 0,0894117647058824
Connected Components : 9
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 160
Maximum Edges in a Connected Component : 538
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,242171
Graph Density : 0,0126217628890473
Modularity : 0,448548
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 184 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, 31 August 2021 at 13:11 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 32-minute period from Monday, 23 August 2021 at 09:33 UTC to Tuesday, 31 August 2021 at 13:06 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:
[28] sarahbrownuk,theirworld [26] theirworld,kevin_watkins_ [25] kevin_watkins_,quoted [25] quoted,agree [25] agree,support [25] support,girls' [25] girls',education [25] education,afghanistan [25] afghanistan,urgently [22] global,education Top Word Pairs in Tweet in G1:
[14] young,people [14] global,education [11] innovation,awards [10] millions,children [9] pre,primary [9] theirworld,education [8] teaching,resources [8] resources,help [8] help,young [8] people,learn Top Word Pairs in Tweet in G2:
[24] sarahbrownuk,theirworld [24] theirworld,kevin_watkins_ [23] kevin_watkins_,quoted [23] quoted,agree [23] agree,support [23] support,girls' [23] girls',education [23] education,afghanistan [23] afghanistan,urgently [15] sarahbrownuk,tells Top Word Pairs in Tweet in G3:
[7] refugees,kellytclements [6] excited,un [6] un,deputy [6] deputy,high [6] high,commissioner [6] commissioner,refugees [6] kellytclements,13 [6] 13,expert [6] expert,judges [6] judges,select Top Word Pairs in Tweet in G4:
[16] #markravenhill101,63 [16] 63,routines [16] routines,rituals [16] rituals,habits [16] habits,characters [16] characters,theirworld [16] theirworld,world [16] world,tip [16] tip,balance [16] balance,play Top Word Pairs in Tweet in G5:
[9] school,children [9] increase,enrollment [9] enrollment,rate [9] kentpage,theirworld [7] #endlearningpoverty,program [7] program,continues [7] continues,program [7] program,aimed [7] aimed,reduce [7] reduce,dropping Top Word Pairs in Tweet in G6:
[4] author,illustrator [4] illustrator,nicksharratt1 [4] global,education [4] governments,stand [4] stand,watch [4] watch,stripped [4] stripped,leverage [4] leverage,donor [4] donor,commitments [4] commitments,girls Top Word Pairs in Tweet in G7:
[5] #youthskills,development [3] partners,theirworld [3] theirworld,spotlighted [3] spotlighted,global [3] global,youth [3] youth,ambassador [3] ambassador,ajwokv [3] ajwokv,calling [3] calling,organizations [3] organizations,individuals Top Word Pairs in Tweet in G8:
[4] theirworld,mrc_crh [4] mrc_crh,ssi_dk [4] ssi_dk,jamespboardman [2] dr_sully,theirworld [2] results,therapeutic [2] therapeutic,window [2] window,intervention [2] intervention,prevent [2] prevent,complications [2] complications,associated Top Word Pairs in Tweet in G9:
[3] result,menstruation [3] menstruation,girls [3] girls,miss [3] miss,average [3] average,school [3] school,month [3] month,month [3] month,meaning [3] meaning,fall [3] fall,class Top Word Pairs in Tweet in G10:
[4] week,global [3] things,week [3] global,education [2] education,theirworld Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: