The graph represents a network of 187 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, 11 October 2021 at 21:18 UTC.
The tweets in the network were tweeted over the 8-day, 12-hour, 35-minute period from Sunday, 03 October 2021 at 07:02 UTC to Monday, 11 October 2021 at 19:37 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 : 187
Unique Edges : 340
Edges With Duplicates : 254
Total Edges : 594
Number of Edge Types : 5
Retweet : 163
MentionsInRetweet : 253
Mentions : 137
Replies to : 16
Tweet : 25
Self-Loops : 27
Reciprocated Vertex Pair Ratio : 0,0616966580976864
Reciprocated Edge Ratio : 0,116222760290557
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 183
Maximum Edges in a Connected Component : 588
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,234377
Graph Density : 0,0118739577942614
Modularity : 0,376222
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 187 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, 11 October 2021 at 21:18 UTC.
The tweets in the network were tweeted over the 8-day, 12-hour, 35-minute period from Sunday, 03 October 2021 at 07:02 UTC to Monday, 11 October 2021 at 19:37 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:
[53] skills,future [51] digital,skills [47] partnership,youthfortech [45] future,programme [45] programme,partnership [43] theirworld's,skills [42] schoolgirls,kenya [42] kenya,learning [42] learning,vital [42] vital,digital Top Word Pairs in Tweet in G1:
[24] official,guess [24] guess,global [24] global,youth [24] youth,ambassador [24] ambassador,theirworld [24] theirworld,ambassadorship [24] ambassadorship,role [24] role,#unlockbigchain [24] #unlockbigchain,#sdgs [24] #sdgs,#godovereverything Top Word Pairs in Tweet in G2:
[33] digital,skills [33] skills,future [33] future,programme [33] programme,partnership [33] partnership,youthfortech [31] schoolgirls,kenya [31] kenya,learning [31] learning,vital [31] vital,digital [31] skills,theirworld's Top Word Pairs in Tweet in G3:
[13] refugee,children [10] young,refugee [7] digital,skills [7] skills,future [7] partnership,youthfortech [7] hp,netinclusion [6] schoolgirls,kenya [6] kenya,learning [6] learning,vital [6] vital,digital Top Word Pairs in Tweet in G4:
[31] funding,educannotwait [18] children,school [18] school,mozambique [17] #weeklyupdate,includes [17] read,update [14] week's,global [14] global,education [14] education,news [13] educannotwait,annual [13] annual,results Top Word Pairs in Tweet in G7:
[3] activities,support [3] support,teaching [3] teaching,#globalgoals [3] #globalgoals,check [3] check,learning [3] learning,resources [3] resources,ages [3] ages,16 [3] 16,theirworld [3] theirworld,explore Top Word Pairs in Tweet in G8:
[3] working,young [3] young,refugee [2] support,theirworld [2] teachers,working [2] refugee,children [2] children,support Top Word Pairs in Tweet in G10:
[8] refugee,children [3] children,5x [3] 5x,school [3] school,#covid19 [3] #covid19,pushed [3] pushed,margins [3] margins,theirworld [3] theirworld,committed [3] committed,working [3] working,local Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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 G9:
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: