The graph represents a network of 99 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 Tuesday, 11 January 2022 at 10:16 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 48-minute period from Sunday, 02 January 2022 at 15:59 UTC to Monday, 10 January 2022 at 17:48 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 : 99
Unique Edges : 279
Edges With Duplicates : 40
Total Edges : 319
Number of Edge Types : 5
Retweet : 26
Tweet : 3
MentionsInRetweet : 174
Mentions : 97
Replies to : 19
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0,0173010380622837
Reciprocated Edge Ratio : 0,0340136054421769
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 99
Maximum Edges in a Connected Component : 319
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,473829
Graph Density : 0,0303030303030303
Modularity : 0,483687
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 99 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 Tuesday, 11 January 2022 at 10:16 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 48-minute period from Sunday, 02 January 2022 at 15:59 UTC to Monday, 10 January 2022 at 17:48 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:
[16] yasminesherif1,educannotwait [16] educannotwait,support [16] support,transform [16] transform,lives [16] lives,education [16] education,vulnerable [16] vulnerable,#pakistan [16] #pakistan,eduministrypk [16] eduministrypk,important [16] important,relationship Top Word Pairs in Tweet in G1:
[2] unplasticday,chavivohra [2] chavivohra,activateimpact [2] activateimpact,sdg2030 [2] sdg2030,activate1m1b [2] activate1m1b,worldskills [2] worldskills,rishadpremji [2] rishadpremji,educommission [2] educommission,girleffect [2] girleffect,eriksolheim [2] eriksolheim,sdgoals Top Word Pairs in Tweet in G2:
[4] visualize,global [4] global,skills [4] skills,crisis [4] launched,world [4] world,skills [4] skills,clock [4] unicef,_genunlimited [4] _genunlimited,educommission [3] yasminesherif1,educannotwait [3] educannotwait,support Top Word Pairs in Tweet in G3:
[13] yasminesherif1,educannotwait [13] educannotwait,support [13] support,transform [13] transform,lives [13] lives,education [13] education,vulnerable [13] vulnerable,#pakistan [13] #pakistan,eduministrypk [13] eduministrypk,important [13] important,relationship 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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: