The graph represents a network of 120 Twitter users whose recent tweets contained "education.gov.uk", 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 Friday, 14 August 2020 at 17:52 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 45-minute period from Thursday, 06 August 2020 at 06:36 UTC to Friday, 14 August 2020 at 13:21 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 : 120
Unique Edges : 113
Edges With Duplicates : 27
Total Edges : 140
Number of Edge Types : 5
Replies to : 13
Mentions : 40
Tweet : 37
Retweet : 39
MentionsInRetweet : 11
Self-Loops : 37
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 37
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 9
Maximum Edges in a Connected Component : 13
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.287671
Graph Density : 0.00679271708683473
Modularity : 0.748355
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 120 Twitter users whose recent tweets contained "education.gov.uk", 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 Friday, 14 August 2020 at 17:52 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 45-minute period from Thursday, 06 August 2020 at 06:36 UTC to Friday, 14 August 2020 at 13:21 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 : education.gov.uk
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[13] made,redundant [10] find,more [9] re,considering [9] considering,returning [9] returning,teach [9] teach,#mathematics [9] #mathematics,#physics [9] #physics,#mfl [9] #mfl,state [9] state,funded Top Word Pairs in Tweet in G1:
[4] apprentices,made [4] made,redundant [2] find,more [2] employers,hire [2] hire,apprentice [2] apprentice,between [2] each,apprentice [2] aged,16 [2] redundant,apprentices [2] redundant,already Top Word Pairs in Tweet in G3:
[7] become,teacher [7] teacher,day [7] day,chance [7] chance,inspire [7] inspire,young [7] young,people [7] people,use [7] use,skills [7] skills,give [7] give,something Top Word Pairs in Tweet in G4:
[2] samappl92535646,danielr21962987 [2] danielr21962987,miss_snuffy Top Word Pairs in Tweet in G5:
[2] dfe,provided [2] provided,public [2] public,statement [2] statement,matter [2] matter,fully [2] fully,funded [2] funded,courses [2] courses,still [2] still,being [2] being,advertised Top Word Pairs in Tweet in G6:
[4] teacher,training [3] know,year's [3] year's,graduates [3] graduates,moving [3] moving,onto [3] onto,teacher [3] training,next [3] next,month [3] month,register [3] register,online Top Word Pairs in Tweet in G7:
[9] re,considering [9] considering,returning [9] returning,teach [9] teach,#mathematics [9] #mathematics,#physics [9] #physics,#mfl [9] #mfl,state [9] state,funded [9] funded,school [9] school,england Top Word Pairs in Tweet in G9:
[5] government,update [5] update,due [5] due,economic [5] economic,impact [5] impact,#coronavirus [5] #coronavirus,covid [5] covid,19 [5] 19,outbreak [5] outbreak,government [5] government,introduced Top Word Pairs in Tweet in G10:
[6] employer,#apprenticeshipservice [6] #apprenticeshipservice,without [6] read,article [6] article,find [6] find,more [5] introduced,completed [5] completed,status [5] status,apprentice [5] apprentice,records [5] records,#apprenticeshipservice Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
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 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: