The graph represents a network of 416 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 Monday, 13 December 2021 at 11:17 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 44-minute period from Sunday, 05 December 2021 at 05:06 UTC to Monday, 13 December 2021 at 10:51 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 : 416
Unique Edges : 1051
Edges With Duplicates : 457
Total Edges : 1508
Number of Edge Types : 5
Replies to : 45
Mentions : 393
Retweet : 318
MentionsInRetweet : 731
Tweet : 21
Self-Loops : 22
Reciprocated Vertex Pair Ratio : 0,0137103684661525
Reciprocated Edge Ratio : 0,0270498732037194
Connected Components : 8
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 404
Maximum Edges in a Connected Component : 1497
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2,794531
Graph Density : 0,00685240963855422
Modularity : 0,450197
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 416 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 Monday, 13 December 2021 at 11:17 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 44-minute period from Sunday, 05 December 2021 at 05:06 UTC to Monday, 13 December 2021 at 10:51 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:
[94] worldbank,unicef [92] unicef,unesco [83] unesco,report [60] learning,losses [48] school,closures [42] global,education [37] state,actors [37] report,state [35] 13,30 [35] state,global Top Word Pairs in Tweet in G1:
[29] unescoicts,education2030un [23] human,right [21] #unesco,#huawei [21] #tech4edu,#tech4all [19] #huawei,ict [19] ict,infrastructure [19] infrastructure,cmo [19] cmo,kevin [19] kevin,zhang [19] zhang,digital Top Word Pairs in Tweet in G2:
[82] worldbank,unicef [82] unicef,unesco [74] unesco,report [54] learning,losses [33] report,state [32] state,global [32] global,education [32] crisis,path [32] path,recovery [32] importance,reopening Top Word Pairs in Tweet in G3:
[18] state,actors [11] gemreport,#righttherules [10] quality,education [10] actors,education [9] world,spent [9] spent,hundreds [9] hundreds,millions [9] millions,usd [9] usd,national [9] national,#edtech Top Word Pairs in Tweet in G4:
[5] stegiannini,unesco [4] state,actors [3] unescoeu,huawei_tech4all [3] huawei_tech4all,stegiannini [3] unesco,unescoicts [3] unescoicts,eddymatoko [3] eddymatoko,gabramosp [3] gabramosp,education2030un [3] education2030un,roboticseu [3] roboticseu,bnu_official Top Word Pairs in Tweet in G5:
[27] closing,schools [27] schools,end [27] end,badly [27] badly,lifetime [27] lifetime,impoverishment Top Word Pairs in Tweet in G6:
[9] tomorrow,tune [9] tune,engage [9] engage,gendered [9] gendered,effects [9] effects,covid [9] covid,19 [9] 19,school [9] school,closures [9] closures,east [9] east,southern Top Word Pairs in Tweet in G8:
[19] #evidenceforrecovery,#learningneverstops [10] registration,open [10] open,online [10] online,launch [10] launch,reds [10] reds,report [10] report,hear [10] hear,impact [10] impact,#covid19 [10] #covid19,secondary Top Word Pairs in Tweet in G9:
[4] power,#expectations [4] #expectations,students [4] students,#yearsofschooling [4] #yearsofschooling,lopez [4] lopez,agudo [4] agudo,infouma [4] infouma,prieto [4] prieto,latorre [4] latorre,economicasuma [4] economicasuma,marcenaro Top Word Pairs in Tweet in G10:
[3] learn,true [3] true,meaning [3] meaning,definition [3] definition,education [3] education,shrigurupawanji [3] shrigurupawanji,read [3] read,share [3] share,dseleduministry [3] dseleduministry,educannotwait [3] educannotwait,dir_education 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 G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: