The graph represents a network of 42 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, 31 August 2021 at 12:36 UTC.
The tweets in the network were tweeted over the 7-day, 8-hour, 16-minute period from Monday, 23 August 2021 at 11:57 UTC to Monday, 30 August 2021 at 20:13 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 : 42
Unique Edges : 44
Edges With Duplicates : 38
Total Edges : 82
Number of Edge Types : 5
Mentions : 32
MentionsInRetweet : 13
Retweet : 24
Tweet : 12
Replies to : 1
Self-Loops : 12
Reciprocated Vertex Pair Ratio : 0,08
Reciprocated Edge Ratio : 0,148148148148148
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 31
Maximum Edges in a Connected Component : 69
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1,966203
Graph Density : 0,0313588850174216
Modularity : 0,386712
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 42 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, 31 August 2021 at 12:36 UTC.
The tweets in the network were tweeted over the 7-day, 8-hour, 16-minute period from Monday, 23 August 2021 at 11:57 UTC to Monday, 30 August 2021 at 20:13 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:
[9] school,meals [8] quality,education [8] million,children [7] digital,learning [6] schools,safely [5] meals,programmes [4] skills,forum [4] lead,amyfcbellinger [4] ensure,child [4] programmes,opportunities Top Word Pairs in Tweet in G1:
[9] school,meals [8] million,children [6] digital,learning [6] schools,safely [5] quality,education [5] meals,programmes [4] 2020,388 [4] 388,million [4] children,received [4] received,daily Top Word Pairs in Tweet in G2:
[2] interesting,discussion [2] discussion,education [2] education,financing [2] financing,happening [2] happening,liesbetsteer [2] liesbetsteer,justinvanfleet [2] justinvanfleet,andrewedufin [2] andrewedufin,suzean [2] suzean,lee [2] lee,usaid Top Word Pairs in Tweet in G4:
[3] takes,#learningteam [3] #learningteam,educate [3] educate,child [3] child,#investinteachers [3] #investinteachers,#educationworkforce [3] #educationworkforce,supports [3] supports,ensure [3] ensure,quality [3] quality,education [3] education,read Top Word Pairs in Tweet in G6:
[2] learning,generation [2] generation,investing [2] investing,education [2] education,changing [2] changing,world [2] world,report [2] report,educommission [2] educommission,#edtech [2] #edtech,#elearning [2] #elearning,#education Top Replied-To in Entire Graph:
Top Replied-To in G5:
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 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: