The graph represents a network of 7,796 Twitter users whose recent tweets were included in a list (FilmYourHospital Tweet ID List) of 12500 tweet IDs, or who were replied to or mentioned in those tweets. 12449 out of 12500 tweets were collected. The network was obtained from Twitter on Wednesday, 11 August 2021 at 13:59 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 38-minute period from Saturday, 11 April 2020 at 23:20 UTC to Tuesday, 21 April 2020 at 06:59 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 : 7796
Unique Edges : 12259
Edges With Duplicates : 3262
Total Edges : 15521
Number of Edge Types : 5
Tweet : 2533
Retweet : 8768
Replies to : 1705
Mentions : 1592
MentionsInRetweet : 923
Self-Loops : 2612
Reciprocated Vertex Pair Ratio : 0.00204953031596926
Reciprocated Edge Ratio : 0.00409067666609852
Connected Components : 1017
Single-Vertex Connected Components : 657
Maximum Vertices in a Connected Component : 5993
Maximum Edges in a Connected Component : 13745
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.619785
Graph Density : 0.000193089267007867
Modularity : 0.611009
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,796 Twitter users whose recent tweets were included in a list (FilmYourHospital Tweet ID List) of 12500 tweet IDs, or who were replied to or mentioned in those tweets. 12449 out of 12500 tweets were collected. The network was obtained from Twitter on Wednesday, 11 August 2021 at 13:59 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 38-minute period from Saturday, 11 April 2020 at 23:20 UTC to Tuesday, 21 April 2020 at 06:59 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 : TwitterIDList
Graph Term : FilmYourHospital Tweet ID List
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:
[1095] #filmyourhospital,#filmyourhospitals [766] ht,#filmyourhospital [712] hospitales,eeuu [691] #filmeseuhospital,#filmyourhospital [673] abro,hilo [673] pasando,hospitales [672] #filmyourhospital,tengo [669] tengo,nada [669] nada,qq [669] qq,hacer Top Word Pairs in Tweet in G1:
[612] #filmyourhospital,#filmyourhospitals [168] mt,sinai [162] #emptyhospitals,#filmyourhospital [159] #emptyhospitals,#endtheshutdown [158] #filmyourhospitals,#emptyhospitals [157] nothing,going [154] corona,virus [152] sick,people [150] covid,19 [146] central,park Top Word Pairs in Tweet in G2:
[311] #filmyourhospital,#filmyourhospitals [231] #filmyourhospital,#filmatuhospital [184] hashtag,#filmyourhospital [173] hospitales,vacíos [167] ht,#filmyourhospital [162] están,vacíos [160] #grabatuhospital,#filmyourhospital [159] hospitales,eeuu [130] deberían,estar [127] abro,hilo Top Word Pairs in Tweet in G3:
[612] #filmeseuhospital,#filmyourhospital [260] #filmyourhospital,#filmeseuhospital [132] continuem,filmando [132] filmando,nós [132] nós,compartilhamos [132] compartilhamos,#filmeseuhospital [126] hospitais,vazios [74] 04,2020 [70] hospital,campanha [67] vazio,#filmyourhospital Top Word Pairs in Tweet in G4:
[54] hashtag,#filmyourhospital [19] ht,#filmyourhospital [12] #covid19,#coronavirus [11] #filmyourhospital,#filmyourhospitals [11] covid,19 [11] ver,hashtag [10] estados,unidos [9] #filmeseuhospital,#filmyourhospital [9] están,vacíos [9] #filmyourhospital,#filmatuhospital Top Word Pairs in Tweet in G5:
[504] hospitales,eeuu [503] #filmyourhospital,tengo [503] tengo,nada [503] nada,qq [503] qq,hacer [503] hacer,nada [503] nada,perder [503] perder,abro [503] abro,hilo [503] hilo,extraña Top Word Pairs in Tweet in G6:
[115] hashtag,#filmyourhospital [113] york,hospital [113] hospital,footage [113] footage,idiots [113] idiots,think [113] think,media [113] media,hoax [113] hoax,pushing [113] pushing,stupid [113] stupid,hashtag Top Word Pairs in Tweet in G7:
[121] #grabatuhospital,#filmyourhospital [116] sweet__moonn,buscando [116] buscando,esos [116] esos,hts [116] hts,#grabatuhospital [116] #filmyourhospital,muchos [116] muchos,videos [116] videos,desmienten [116] desmienten,medios [116] medios,muestran Top Word Pairs in Tweet in G8:
[84] #emptyhospitals,#filmyourhospital [58] #filmyourhospital,#filmyourhospitals [42] #filmyourhospitals,#filmmyhospital [31] #filmmyhospital,#fakenews [24] 10,20 [23] marklevinshow,10 [22] #drfauci,#modeling [22] #modeling,#death [22] #death,#covid19 [22] #covid19,truths Top Word Pairs in Tweet in G9:
[26] #filmyourhospital,#filmatuhospital [24] #endtheshutdown,#filmyourhospital [22] #filmyourhospital,#saynotobillgates [22] #saynotobillgates,#nonewnormal [20] 10,days [20] days,before [20] before,trump [20] trump,administration [20] administration,face [20] face,surprise Top Word Pairs in Tweet in G10:
[95] bill,gates [67] #wedonotconsent,#filmyourhospital [67] #filmyourhospital,#billgates [66] fun,activity [66] activity,go [66] go,bill [66] gates,last [66] last,insta [66] insta,read [66] read,comments Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: