The graph represents a network of 244 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, 14 May 2022 at 04:07 UTC.
The requested start date was Saturday, 14 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 18,000.
The tweets in the network were tweeted over the 101-day, 0-hour, 3-minute period from Tuesday, 01 February 2022 at 06:56 UTC to Friday, 13 May 2022 at 07:00 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 : 244
Unique Edges : 115
Edges With Duplicates : 327
Total Edges : 442
Number of Edge Types : 5
Tweet : 94
Retweet : 148
MentionsInRetweet : 170
Replies to : 6
Mentions : 24
Self-Loops : 95
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 80
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 62
Maximum Edges in a Connected Component : 113
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.471736
Graph Density : 0.00315388247992984
Modularity : 0.477973
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 244 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, 14 May 2022 at 04:07 UTC.
The requested start date was Saturday, 14 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 18,000.
The tweets in the network were tweeted over the 101-day, 0-hour, 3-minute period from Tuesday, 01 February 2022 at 06:56 UTC to Friday, 13 May 2022 at 07:00 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:
[48] odisha,school [48] school,reopening [48] reopening,stand [48] stand,dilemma [48] dilemma,again [48] again,offline [48] offline,class [48] class,schools [48] schools,scheduled [48] scheduled,started Top Word Pairs in Tweet in G1:
[47] odisha,school [47] school,reopening [47] reopening,stand [47] stand,dilemma [47] dilemma,again [47] again,offline [47] offline,class [47] class,schools [47] schools,scheduled [47] scheduled,started Top Word Pairs in Tweet in G2:
[8] school,closed [5] friday,february [4] due,inclement [4] inclement,weather [3] february,2022 [3] #schools,#schoolclosure [3] school,closures [3] closed,today [3] #lockdown,#schoolclosure [2] wednesday,due Top Word Pairs in Tweet in G3:
[23] covid,cases [14] feel,schools [14] schools,shut [14] shut,down [14] down,totally [14] totally,encounter [14] encounter,covid [14] cases,students [14] students,teachers [13] francis_joseph,feel Top Word Pairs in Tweet in G4:
[3] youth,future [3] future,nation [3] nation,actions [3] actions,help [3] help,#future [3] #future,#children [3] #children,calling [3] calling,youth [3] youth,#volunteers [3] #volunteers,help Top Word Pairs in Tweet in G5:
[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 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:
[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 G8:
[5] child,loses [5] loses,way [5] way,school [5] school,closure [5] closure,mountview [5] mountview,#arrivealive [5] #arrivealive,#child [5] #child,#schoolclosure [4] _arrivealive,child [4] #schoolclosure,#reaction Top Word Pairs in Tweet in G9:
[2] outwoodportland,#schoolclosure [2] #schoolclosure,again [2] again,y7 [2] y7,excuse [2] excuse,#covid19 [2] #covid19,dare [2] dare,further [2] further,steal [2] steal,more [2] more,child Top Word Pairs in Tweet in G10:
[5] friday,18 [5] 18,february [5] february,kevicc [5] kevicc,#totnes [5] #totnes,closed [5] closed,virtual [5] virtual,learning [5] learning,provision [5] provision,allow [5] allow,students Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: