The graph represents a network of 261 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, 31 May 2021 at 09:59 UTC.
The tweets in the network were tweeted over the 7-day, 1-hour, 43-minute period from Sunday, 23 May 2021 at 14:21 UTC to Sunday, 30 May 2021 at 16:04 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 : 261
Unique Edges : 894
Edges With Duplicates : 708
Total Edges : 1602
Number of Edge Types : 5
Retweet : 221
MentionsInRetweet : 1037
Mentions : 311
Replies to : 22
Tweet : 11
Self-Loops : 13
Reciprocated Vertex Pair Ratio : 0,0191304347826087
Reciprocated Edge Ratio : 0,037542662116041
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 261
Maximum Edges in a Connected Component : 1602
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,594706
Graph Density : 0,0172708517536104
Modularity : 0,382012
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 261 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, 31 May 2021 at 09:59 UTC.
The tweets in the network were tweeted over the 7-day, 1-hour, 43-minute period from Sunday, 23 May 2021 at 14:21 UTC to Sunday, 30 May 2021 at 16:04 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:
[99] children,youth [43] youth,caught [41] danishmfa,theirworld [39] emergencies,#ecw [39] #education,denied [39] denied,children [39] children,hopes [39] hopes,better [39] better,fairer [39] fairer,future Top Word Pairs in Tweet in G1:
[43] children,youth [28] emergencies,#ecw [25] theirworld,president [23] world,leaders [19] education,crisis [18] theirworld,campaigned [18] campaigned,innovative [18] innovative,meet [18] meet,education [18] education,children Top Word Pairs in Tweet in G2:
[53] children,youth [37] youth,caught [33] #education,denied [33] denied,children [33] children,hopes [33] hopes,better [33] better,fairer [33] fairer,future [33] future,lost [33] lost,#ecw Top Word Pairs in Tweet in G3:
[14] auunicef,tie_events_ke [14] miziziafriqa,totocentre [14] totocentre,nankalim [14] nankalim,kentpage [14] kentpage,atayeshe [14] atayeshe,theirworld [14] theirworld,tostan [14] tostan,unicef_auoffice [14] unicef_auoffice,mollyjmelching [14] mollyjmelching,bonomettielena Top Word Pairs in Tweet in G4:
[5] fcdodigital,ukinnigeria [5] ukinnigeria,cheveningfcdo [5] sussex_alumni,usinnigeria [5] oneyoungworld,queenscomtrust [3] lanreshaper,areai4africa [3] areai4africa,fcdodigital [3] cheveningfcdo,educommission [3] educommission,camedfac [3] camedfac,theirworld [3] theirworld,sussex_alumni Top Word Pairs in Tweet in G5:
[3] children,youth [2] yasminesherif1,un [2] un,swissmfa [2] swissmfa,eu_partnerships [2] eu_partnerships,norwaymfa [2] norwaymfa,danishmfa [2] danishmfa,theirworld [2] theirworld,swemfa [2] swemfa,porticusglobal [2] porticusglobal,usaideducation Top Word Pairs in Tweet in G6:
[7] afeez,olalekan [7] olalekan,saka [7] saka,saka_afeez28 [7] saka_afeez28,un [7] un,theirworld [7] theirworld,teachsdgs [7] teachsdgs,worldliteracy [7] worldliteracy,ambassador [7] ambassador,fellow [7] fellow,teach4nigeria Top Word Pairs in Tweet in G7:
[2] clubhouse,royalafricanylf [2] royalafricanylf,ooniadimulaife [2] ooniadimulaife,iswat_badmus [2] iswat_badmus,johnsaggrey [2] johnsaggrey,undpnigeria [2] undpnigeria,undgc_cso [2] undgc_cso,theirworld [2] theirworld,brainadam_01 Top Word Pairs in Tweet in G9:
[2] theirworld,hamzycode 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 G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 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: