The graph represents a network of 1,037 Twitter users whose recent tweets contained "#MakeSchoolsSafe", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 16 March 2021 at 13:25 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 52-minute period from Monday, 08 March 2021 at 16:15 UTC to Tuesday, 16 March 2021 at 13:07 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 : 1037
Unique Edges : 4490
Edges With Duplicates : 5047
Total Edges : 9537
Number of Edge Types : 5
Retweet : 1873
MentionsInRetweet : 5813
Mentions : 1459
Replies to : 217
Tweet : 175
Self-Loops : 195
Reciprocated Vertex Pair Ratio : 0.0192237275723178
Reciprocated Edge Ratio : 0.0377222920783187
Connected Components : 27
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 966
Maximum Edges in a Connected Component : 9417
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.670273
Graph Density : 0.00518182461287572
Modularity : 0.268567
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,037 Twitter users whose recent tweets contained "#MakeSchoolsSafe", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 16 March 2021 at 13:25 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 52-minute period from Monday, 08 March 2021 at 16:15 UTC to Tuesday, 16 March 2021 at 13:07 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 : #MakeSchoolsSafe
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:
[183] safeedforall_uk,parents_utd [155] safeedforall_uk,#makeschoolssafe [152] #makeschoolssafe,karamballes [150] #makeschoolssafe,#nofines [150] #makeschoolssafe,parents_utd [144] parents_utd,parentkind [143] longcovidkids,dminghella [143] michaelrosenyes,parents_utd [141] parents_utd,parents4safere1 [139] longcovidkids,long_covid Top Word Pairs in Tweet in G1:
[70] #makeschoolssafe,parents_utd [62] parents_utd,dmodoscutter [49] covid,19 [46] #safeedforall,#makeschoolssafe [46] safeedforall_uk,parents_utd [39] dmodoscutter,alisongeorge10 [38] ongoing,refusal [38] refusal,effectively [38] effectively,mitigate [38] mitigate,#airborne Top Word Pairs in Tweet in G2:
[102] #makeschoolssafe,karamballes [98] parents_utd,parentkind [97] longcovidkids,dminghella [97] michaelrosenyes,parents_utd [88] karamballes,longcovidkids [81] dminghella,michaelrosenyes [61] safeedforall_uk,#makeschoolssafe [59] covid,19 [57] parentkind,safeedforall_uk [52] #makeschoolssafe,safeedforall_uk Top Word Pairs in Tweet in G3:
[48] parents_utd,#makeschoolssafe [47] extra,measures [47] measures,schools [47] schools,keep [47] keep,covid [47] covid,classrooms [47] classrooms,vickyford [47] vickyford,interview [47] interview,gmb [47] morning,change Top Word Pairs in Tweet in G4:
[106] safeedforall_uk,parents_utd [105] #makeschoolssafe,#nofines [99] parents_utd,parents4safere1 [98] longcovidkids,long_covid [98] long_covid,longcovidsos [96] containmentnow,zerocovid_uk [96] zerocovid_uk,zerocovidnow1 [95] #nofines,safeedforall_uk [91] parents4safere1,longcovidkids [88] longcovidsos,grahamja51 Top Word Pairs in Tweet in G5:
[34] cosmos,speaking [34] speaking,parents [34] parents,campaigners [34] safeedforall,longcovidkids [34] concerns,rush [34] rush,schools [26] campaigners,working [26] working,safeedforall [26] longcovidkids,campaigns [26] campaigns,concerns Top Word Pairs in Tweet in G6:
[34] vulnerable,families [18] clinically,vulnerable [18] school,#makeschoolssafe [17] #freeschoolmeals,coerce [17] coerce,clinically [17] families,school [17] #makeschoolssafe,stop [17] stop,penalising [17] penalising,vulnerable [17] families,laylamoran Top Word Pairs in Tweet in G7:
[11] schools,safe [7] #schoolsarenotsafe,#makeschoolssafe [6] rachelnotley,shoffmanab [6] #covidzero,#zerocovid [4] #makeschoolssafe,#longcovidkids [4] schools,adequate [4] amount,hand [4] hand,sanitizer [4] sanitizer,plexiglass [4] plexiglass,protect Top Word Pairs in Tweet in G8:
[2] long,covid [2] returning,person [2] person,instruction [2] instruction,entire [2] entire,country [2] country,sept [2] sept,2021 [2] 2021,#backtoschool [2] #backtoschool,#makeschoolssafe [2] #makeschoolssafe,#remotelearning Top Word Pairs in Tweet in G9:
[3] #schoolcasereports,#makeschoolssafe [2] week,#networkanalysis [2] #networkanalysis,#nomasksinclass [2] #nomasksinclass,hashtag [2] hashtag,twitter [2] twitter,tweet [2] tweet,frequency [2] frequency,declining [2] declining,feat [2] feat,usforthemuk Top Word Pairs in Tweet in G10:
[7] #freshairschools,#safeedforall [5] children,#longcovid [5] casbecas,feel [5] feel,like [5] like,hard [5] hard,difference [5] difference,amplifying [5] amplifying,right [5] right,voices [5] voices,helps Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: