The graph represents a network of 101 Twitter users whose recent tweets contained "@educommission", 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, 29 March 2021 at 09:26 UTC.
The tweets in the network were tweeted over the 6-day, 1-hour, 50-minute period from Monday, 22 March 2021 at 07:40 UTC to Sunday, 28 March 2021 at 09:30 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 : 101
Unique Edges : 185
Edges With Duplicates : 110
Total Edges : 295
Number of Edge Types : 4
Replies to : 7
Mentions : 139
Retweet : 40
MentionsInRetweet : 109
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0,0382775119617225
Reciprocated Edge Ratio : 0,0737327188940092
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 101
Maximum Edges in a Connected Component : 295
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,637585
Graph Density : 0,0214851485148515
Modularity : 0,401976
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 101 Twitter users whose recent tweets contained "@educommission", 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, 29 March 2021 at 09:26 UTC.
The tweets in the network were tweeted over the 6-day, 1-hour, 50-minute period from Monday, 22 March 2021 at 07:40 UTC to Sunday, 28 March 2021 at 09:30 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 : @educommission
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:
[26] #saveourfuture,savefuturenow [23] #leavenogirlbehind,#saveourfuture [23] savefuturenow,fcdogec [20] fcdogec,adb_hq [14] #eduworkforceseasia,event [9] girls,learning [8] takes,village [8] village,raise [8] raise,child [7] girls,marginalized Top Word Pairs in Tweet in G1:
[15] #leavenogirlbehind,#saveourfuture [14] #saveourfuture,savefuturenow [14] savefuturenow,fcdogec [10] fcdogec,adb_hq [9] #eduworkforceseasia,event [6] girls,learning [5] takes,village [5] village,raise [5] raise,child [5] child,#learningteam Top Word Pairs in Tweet in G2:
[3] ideas,#buildbackbetter [3] #buildbackbetter,#education [2] educommission,ukfiet [2] ukfiet,kaite_godwin [2] kaite_godwin,idpf [2] idpf,believe [2] believe,education [2] education,conquer [2] conquer,world's [2] world's,problems Top Word Pairs in Tweet in G3:
[2] eaa_foundation,pratham_india [2] unhcr_education,unesco Top Word Pairs in Tweet in G4:
[12] #saveourfuture,savefuturenow [10] fcdogec,adb_hq [9] savefuturenow,fcdogec [8] #leavenogirlbehind,#saveourfuture [5] #eduworkforceseasia,event [5] global,community [4] #choosetochallenge,#iwd2021 [4] 1st,female [4] ensure,sustainable [4] #eduworkforceseasia,dialogue Top Word Pairs in Tweet in G6:
[5] students,rural [5] rural,remote [5] remote,lack [5] lack,access [5] access,qualified [5] qualified,teachers [5] teachers,read [5] read,spatial [5] spatial,analysis [5] analysis,sierra Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: