The graph represents a network of 172 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 Wednesday, 06 October 2021 at 16:10 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 45-minute period from Monday, 27 September 2021 at 20:30 UTC to Wednesday, 06 October 2021 at 15:16 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 : 172
Unique Edges : 301
Edges With Duplicates : 233
Total Edges : 534
Number of Edge Types : 5
Retweet : 123
MentionsInRetweet : 227
Mentions : 143
Tweet : 25
Replies to : 16
Self-Loops : 27
Reciprocated Vertex Pair Ratio : 0,061046511627907
Reciprocated Edge Ratio : 0,115068493150685
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 165
Maximum Edges in a Connected Component : 526
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,548285
Graph Density : 0,0124099007207942
Modularity : 0,387684
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 172 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 Wednesday, 06 October 2021 at 16:10 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 45-minute period from Monday, 27 September 2021 at 20:30 UTC to Wednesday, 06 October 2021 at 15:16 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:
[40] refugee,children [29] childhood,education [24] big,change [24] 138m,funding [24] funding,educannotwait [19] young,refugee [18] unlocking,big [17] global,education [15] activities,support [15] support,teaching Top Word Pairs in Tweet in G1:
[16] refugee,children [8] young,refugee [7] big,change [6] network,1000 [6] 1000,young [6] young,education [5] learn,skills [5] grow,advocacy [5] advocacy,skills [5] skills,future Top Word Pairs in Tweet in G2:
[19] refugee,children [13] childhood,education [8] young,refugee [7] hear,maysajalbout [7] maysajalbout,discuss [7] ineetweets,movingmindsecd [6] teachers,play [6] play,vital [6] vital,role [6] supporting,young Top Word Pairs in Tweet in G3:
[21] 138m,funding [21] funding,educannotwait [12] educannotwait,annual [12] annual,results [12] results,report [12] report,launched [12] launched,learn [12] learn,#ecw [12] #ecw,partners [12] partners,delivering Top Word Pairs in Tweet in G4:
[2] childhood,education [2] education,refugee [2] refugee,children [2] children,overlooked [2] overlooked,join [2] join,oct [2] oct,4th [2] 4th,discussion [2] discussion,research [2] research,practical Top Word Pairs in Tweet in G5:
[6] teacher,equivalent [3] #worldteachersday,teachers [3] teachers,globe [3] globe,research [3] research,malalafund [3] malalafund,good [3] good,teacher [3] equivalent,average [3] average,gain [3] gain,learning Top Word Pairs in Tweet in G6:
[14] activities,support [14] support,teaching [14] teaching,#globalgoals [14] #globalgoals,check [14] check,learning [14] learning,resources [14] resources,ages [14] ages,16 [14] 16,theirworld [14] theirworld,explore Top Word Pairs in Tweet in G7:
[5] hp,netinclusion [4] justinvanfleet,theirworld [3] digital,equity [2] live,join [2] join,#digitalinclusionweek [2] #digitalinclusionweek,discuss [2] discuss,address [2] address,barriers [2] barriers,digital [2] equity,hp Top Word Pairs in Tweet in G8:
[3] theirworld,justgiving [3] theirworld,check [3] check,justgiving [3] justgiving,page [3] page,donate [3] donate,#justgiving [3] #londonmarathon,#weruntogether [2] fundraising,theirworld [2] yikes,li [2] li,ol Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: