The graph represents a network of 287 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, 12 April 2021 at 11:48 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 57-minute period from Sunday, 04 April 2021 at 20:08 UTC to Monday, 12 April 2021 at 11:05 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 : 287
Unique Edges : 874
Edges With Duplicates : 488
Total Edges : 1362
Number of Edge Types : 5
Mentions : 384
MentionsInRetweet : 783
Replies to : 35
Retweet : 155
Tweet : 5
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0,0186567164179104
Reciprocated Edge Ratio : 0,0366300366300366
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 287
Maximum Edges in a Connected Component : 1362
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,68822
Graph Density : 0,0133037694013304
Modularity : 0,475295
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 287 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, 12 April 2021 at 11:48 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 57-minute period from Sunday, 04 April 2021 at 20:08 UTC to Monday, 12 April 2021 at 11:05 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:
[82] unesco,unicef [76] digital,learning [72] unicef,_genunlimited [61] learning,skills [41] un,unesco [36] wbg_education,education2030un [34] #education,powerful [34] powerful,weapon [34] change,world [34] gpforeducation,unesco Top Word Pairs in Tweet in G1:
[74] unesco,unicef [68] digital,learning [66] unicef,_genunlimited [56] learning,skills [38] un,unesco [29] skills,un [28] education,ministers [28] ministers,populous [28] populous,countries [28] countries,bangladesh Top Word Pairs in Tweet in G2:
[34] #education,powerful [34] powerful,weapon [34] change,world [34] gpforeducation,unesco [34] unesco,wbg_education [34] wbg_education,education2030un [34] #sdgs,#sdg4 [31] weapon,change [31] world,nelsonmandela [31] nelsonmandela,agree Top Word Pairs in Tweet in G3:
[6] education2030un,oecdeduskills [5] ideas,article [5] article,stemedmagazine [5] education2030un,steven_kolber [5] pstchat,education2030un [5] oecdeduskills,uni_newcastle [4] saos,vegemite [3] #pstchat,sleep [3] sleep,welcome [3] welcome,jessechambers_ Top Word Pairs in Tweet in G4:
[11] schools,open [10] school,closures [9] keep,schools [9] open,school [9] closures,brought [9] brought,major [9] major,disruption [9] disruption,children [9] children,lives [9] lives,affecting Top Word Pairs in Tweet in G5:
[6] #sdg4,ensure [6] ensure,inclusive [6] inclusive,equitable [6] equitable,quality [6] quality,education [6] education,promote [6] promote,lifelong [6] lifelong,learning [6] learning,opportunities [6] opportunities,2019 Top Word Pairs in Tweet in G6:
[8] congressorbjp,impraveendalal [8] impraveendalal,connectsdgs [8] connectsdgs,globalgoalsun [8] globalgoalsun,un [8] un,p4loindia [8] p4loindia,ptlbprojects [8] ptlbprojects,ptlbschool [8] ptlbschool,_perry4law [8] _perry4law,digitalindialaw [8] digitalindialaw,worldbank Top Word Pairs in Tweet in G7:
[3] highr_teachered,chhabriarakhee [3] chhabriarakhee,loindividualize [3] loindividualize,mathewbhavna [3] mathewbhavna,teachaclass [3] teachaclass,education2030un [3] education2030un,education_com [2] great,super [2] super,excited [2] excited,learn [2] learn,best Top Word Pairs in Tweet in G8:
[2] project,aims [2] aims,help [2] help,disadvantaged [2] disadvantaged,learners [2] learners,marginalized [2] marginalized,children [2] children,impacting [2] impacting,40 [2] 40,communities [2] communities,states Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9: