The graph represents a network of 468 Twitter users whose tweets in the requested range contained "schoolclosure", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 12 March 2022 at 04:25 UTC.
The requested start date was Saturday, 12 March 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 18,000.
The tweets in the network were tweeted over the 97-day, 1-hour, 13-minute period from Friday, 03 December 2021 at 14:12 UTC to Thursday, 10 March 2022 at 15:25 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 : 468
Unique Edges : 231
Edges With Duplicates : 582
Total Edges : 813
Number of Edge Types : 5
Retweet : 257
MentionsInRetweet : 303
Tweet : 143
Replies to : 14
Mentions : 96
Self-Loops : 144
Reciprocated Vertex Pair Ratio : 0.0216216216216216
Reciprocated Edge Ratio : 0.0423280423280423
Connected Components : 152
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 97
Maximum Edges in a Connected Component : 225
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.515464
Graph Density : 0.0017295338494482
Modularity : 0.499359
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 468 Twitter users whose tweets in the requested range contained "schoolclosure", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 12 March 2022 at 04:25 UTC.
The requested start date was Saturday, 12 March 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 18,000.
The tweets in the network were tweeted over the 97-day, 1-hour, 13-minute period from Friday, 03 December 2021 at 14:12 UTC to Thursday, 10 March 2022 at 15:25 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 : GraphServerTwitterSearch
Graph Term : schoolclosure
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:
[42] odisha,school [42] school,reopening [42] reopening,stand [42] stand,dilemma [42] dilemma,again [42] again,offline [42] offline,class [42] class,schools [42] schools,scheduled [42] scheduled,started Top Word Pairs in Tweet in G1:
[10] school,closed [5] #covid19,#schoolclosure [5] school,closures [5] friday,february [4] #lockdown,#schoolclosure [4] closed,today [4] #schools,#schoolclosure [4] due,inclement [4] inclement,weather [3] school,closure Top Word Pairs in Tweet in G2:
[32] odisha,school [32] school,reopening [32] reopening,stand [32] stand,dilemma [32] dilemma,again [32] again,offline [32] offline,class [32] class,schools [32] schools,scheduled [32] scheduled,started Top Word Pairs in Tweet in G3:
[39] youth,future [39] future,nation [39] nation,actions [39] actions,help [39] help,#future [39] #future,#children [39] #children,calling [39] calling,youth [39] youth,#volunteers [39] #volunteers,help Top Word Pairs in Tweet in G4:
[23] ca,legislature [23] legislature,made [23] made,hard [23] hard,close [23] close,schools [23] schools,covid [23] covid,funded [23] funded,yr [23] yr,here's [23] here's,districts Top Word Pairs in Tweet in G5:
[12] bef,ore [12] ore,#covid19 [12] #covid19,50 [12] 50,rural [12] rural,india [12] india,sch [12] sch,ool [12] ool,go [12] go,ng [12] ng,students Top Word Pairs in Tweet in G6:
[10] due,hit [10] tomorrow,schools [10] schools,decide [10] decide,unsafe [10] unsafe,open [10] open,due [10] due,extremely [10] extremely,strong [8] #stormeunice,due [8] hit,#devon Top Word Pairs in Tweet in G7:
[8] 10downingstreet,educationgovuk [8] educationgovuk,well [8] well,aware [8] aware,damage [8] damage,children [8] children,#schoolclosure [8] #schoolclosure,isolation [8] isolation,see [8] see,annex [8] annex,'94 Top Word Pairs in Tweet in G8:
[9] due,success [9] success,#covidvaccination [9] #covidvaccination,gt [9] gt,82 [9] 82,vaccinated [9] vaccinated,nov [9] nov,21 [9] 21,gt [9] gt,50 [9] 50,boosted Top Word Pairs in Tweet in G9:
[2] well,done Top Word Pairs in Tweet in G10:
[6] don,blame [6] blame,teachers [6] teachers,covid [6] covid,quarantines [6] quarantines,closures [6] closures,badassteachersa [6] badassteachersa,dianeravitch [5] stevensinger3,don [5] dianeravitch,dennytay Top Replied-To in Entire Graph:
Top Replied-To in G9:
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 Mentioned in G9:
Top Mentioned in G10:
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: