The graph represents a network of 426 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 Monday, 26 July 2021 at 12:41 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 29-minute period from Sunday, 18 July 2021 at 06:30 UTC to Monday, 26 July 2021 at 11:00 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 : 426
Unique Edges : 982
Edges With Duplicates : 689
Total Edges : 1671
Number of Edge Types : 5
Retweet : 347
MentionsInRetweet : 570
Mentions : 632
Replies to : 80
Tweet : 42
Self-Loops : 45
Reciprocated Vertex Pair Ratio : 0,0556569343065693
Reciprocated Edge Ratio : 0,105445116681072
Connected Components : 9
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 418
Maximum Edges in a Connected Component : 1663
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,429194
Graph Density : 0,0063904998619166
Modularity : 0,440345
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 426 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 Monday, 26 July 2021 at 12:41 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 29-minute period from Sunday, 18 July 2021 at 06:30 UTC to Monday, 26 July 2021 at 11:00 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:
[193] best,start [193] start,life [183] 10,education [175] child,best [154] education,budget [148] pre,primary [141] dedicate,10 [140] theirworld,calling [140] calling,donors [139] pandemic,hit Top Word Pairs in Tweet in G1:
[137] 10,education [129] best,start [129] start,life [120] child,best [116] dedicate,10 [116] pandemic,hit [116] hit,175 [116] 175,million [116] pre,school [115] education,budget Top Word Pairs in Tweet in G2:
[16] 10,education [12] child,best [12] best,start [12] start,life [12] education,budget [10] pre,primary [10] primary,education [9] theirworld,calling [9] calling,donors [8] incredibly,moving Top Word Pairs in Tweet in G3:
[34] pre,primary [32] best,start [32] start,life [31] primary,education [29] child,best [26] real_centre's,report [24] theirworld's,real_centre's [21] report,#ece [21] #ece,better [21] better,start Top Word Pairs in Tweet in G4:
[8] child,best [8] best,start [8] start,life [7] poorest,children [6] pre,primary [6] 80,poorest [6] children,lack [6] lack,education [6] education,thenationalnews [6] thenationalnews,theirworld Top Word Pairs in Tweet in G5:
[38] pre,primary [25] primary,education [15] report,theirworld [14] poorest,children [14] theirworld,real_centre [13] unicef,gpforeducation [12] 10,world's [12] world's,poorest [12] children,50 [12] 50,million Top Word Pairs in Tweet in G6:
[17] lbsnigeria,areai4africa [17] britishcouncil,iamjoshuaalade [17] iamjoshuaalade,wearegcm [17] wearegcm,theirworld [17] theirworld,anagberaphaelt [15] areai4africa,drijeomanwagwu [15] lanreshaper,britishcouncil [15] anagberaphaelt,ayantolamaximus [13] ayantolamaximus,kkennyje [12] drijeomanwagwu,ogbenidipo Top Word Pairs in Tweet in G7:
[5] digital,equity [4] join,alexchohp [3] alexchohp,discusses [3] discusses,digital [3] equity,solvemit's [3] solvemit's,alexamouyel [3] alexamouyel,gbceducation [3] gbceducation,theirworld's [3] theirworld's,sarahbrownuk [3] sarahbrownuk,hp Top Word Pairs in Tweet in G8:
[5] pre,primary [4] primary,education [2] global,education [2] better,start [2] start,progress [2] progress,check [2] check,donor [2] donor,funding [2] funding,pre [2] education,childhood Top Word Pairs in Tweet in G9:
[6] refugee,children [5] key,series [5] series,childhood [5] childhood,education [5] education,theirworld [3] children,5x [3] 5x,school [3] school,#covid19 [3] #covid19,pushed [3] pushed,margins Top Word Pairs in Tweet in G10:
[2] part,panel [2] panel,importance [2] importance,prioritizing [2] prioritizing,pre [2] pre,primary [2] primary,reopening [2] reopening,tuesday [2] tuesday,27 [2] 27,07 [2] 07,colleagues Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: