The graph represents a network of 294 Twitter users whose recent tweets contained "Education2030UN", 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, 08 February 2022 at 12:53 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 21-minute period from Monday, 31 January 2022 at 04:31 UTC to Tuesday, 08 February 2022 at 05:53 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 : 294
Unique Edges : 956
Edges With Duplicates : 343
Total Edges : 1299
Number of Edge Types : 5
Retweet : 152
MentionsInRetweet : 722
Mentions : 368
Replies to : 49
Tweet : 8
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0,0416666666666667
Reciprocated Edge Ratio : 0,08
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 285
Maximum Edges in a Connected Component : 1290
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,757658
Graph Density : 0,0124793944881707
Modularity : 0,55882
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 294 Twitter users whose recent tweets contained "Education2030UN", 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, 08 February 2022 at 12:53 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 21-minute period from Monday, 31 January 2022 at 04:31 UTC to Tuesday, 08 February 2022 at 05:53 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 : Education2030UN
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:
[32] arab,states [27] kred,education2030un [27] education2030un,kred [27] kred,#influence [27] #womeninstem,#womenintech [27] #womenintech,#womenwhocode [27] #stem,#edtech [27] #ai,#ml [25] #ml,#iot [24] الدول,العربية Top Word Pairs in Tweet in G1:
[32] arab,states [15] revised,recognition [15] recognition,convention [15] convention,#highereducation [15] states,ratify [15] ratify,#globalconvention [15] great,news [15] news,unesco [15] unesco,arab [15] states,adopted Top Word Pairs in Tweet in G2:
[11] #endchildmarriage,#transformeducation [11] nankunda20,education2030un [10] education2030un,ukinuganda [9] #transformeducation,nankunda20 [8] ungei,tujifunzeafrica [8] educannotwait,education2030un [8] education2030un,tujifunzeafrica [8] statistics,show [8] show,girls [8] girls,school Top Word Pairs in Tweet in G3:
[17] sdg2030,sfdecordova [17] sfdecordova,local2030 [17] local2030,2030agendach [17] 2030agendach,agenda2030gob [17] agenda2030gob,education2030un [17] education2030un,sdgmediazone [17] sdgmediazone,sdgskenyaforum [17] sdgskenyaforum,sdgoals [17] sdgoals,teachsdgs [17] teachsdgs,chavivohra Top Word Pairs in Tweet in G4:
[27] kred,education2030un [27] education2030un,kred [27] kred,#influence [27] #womeninstem,#womenintech [27] #womenintech,#womenwhocode [27] #stem,#edtech [27] #ai,#ml [25] #ml,#iot [23] #iot,#iiot [23] #iiot,#iotpl Top Word Pairs in Tweet in G5:
[14] danke,germany [14] germany,germanambunesco [14] germanambunesco,germanambghana [14] germanambghana,educannotwait [14] educannotwait,education2030un Top Word Pairs in Tweet in G6:
[9] the_ecofeminist,olumideidowu [9] olumideidowu,adamhayer [9] adamhayer,gretathunberg [9] gretathunberg,malalafund [9] malalafund,vanessa_vash [9] vanessa_vash,diakatop10 [9] diakatop10,ogene_ogbodo [9] ogene_ogbodo,xhallum [9] ungei,unesco [9] unesco,education2030un Top Word Pairs in Tweet in G7:
[9] #kivutechéducation,retrouvez [9] retrouvez,manuels [9] manuels,scolaires [9] scolaires,conformes [9] conformes,au [9] au,programme [9] programme,national [9] national,l'enseignement [9] l'enseignement,en [9] en,disponibles Top Word Pairs in Tweet in G8:
[2] think,un [2] un,united [2] united,nations [2] nations,2013 [2] 2013,adopted [2] adopted,17 [2] 17,un_sdg [2] un_sdg,development [2] development,goals [2] goals,education2030un 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 G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: