The graph represents a network of 9,186 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 July 2022 at 11:57 UTC.
The requested start date was Saturday, 09 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 7-minute period from Wednesday, 06 July 2022 at 09:59 UTC to Friday, 08 July 2022 at 11:07 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 : 9186
Unique Edges : 4802
Edges With Duplicates : 12351
Total Edges : 17153
Number of Edge Types : 5
Retweet : 5799
MentionsInRetweet : 7117
Replies to : 828
Mentions : 2041
Tweet : 1368
Self-Loops : 1404
Reciprocated Vertex Pair Ratio : 0.0102819588721645
Reciprocated Edge Ratio : 0.0203546322526492
Connected Components : 1541
Single-Vertex Connected Components : 517
Maximum Vertices in a Connected Component : 4130
Maximum Edges in a Connected Component : 9575
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.756543
Graph Density : 0.000112962128708559
Modularity : 0.563025
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,186 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 July 2022 at 11:57 UTC.
The requested start date was Saturday, 09 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 7-minute period from Wednesday, 06 July 2022 at 09:59 UTC to Friday, 08 July 2022 at 11:07 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 : GraphServerTwitterSearch
Graph Term : public health
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:
[4223] public,health [434] health,policy [362] denial,public [361] dgurdasani1,denial [262] omicron,ba [255] ba,past [255] past,325 [255] 325,000 [255] 000,day [255] day,setting Top Word Pairs in Tweet in G1:
[535] public,health [318] health,policy [307] denial,public [306] dgurdasani1,denial [71] rejected,motion [71] motion,inform [71] inform,public [70] scandal,netherlands [70] netherlands,coalition [70] coalition,govt Top Word Pairs in Tweet in G2:
[387] public,health [29] mental,health [28] covid,19 [21] health,sector [19] healthcare,public [18] north,korean [16] helpline,800 [16] 800,273 [15] health,care [15] health,emergency Top Word Pairs in Tweet in G3:
[398] public,health [77] mjrowland68,mark_butler_mp [77] mark_butler_mp,breakfastnews [43] personal,responsibility [38] health,measures [27] wearing,mask [24] health,policy [23] abc,news [23] news,hospitalisations [23] hospitalisations,qld Top Word Pairs in Tweet in G4:
[197] public,health [75] global,public [74] time,global [74] health,community [74] community,recognize [74] recognize,growing [74] growing,reality [74] reality,#monkeypox [74] #monkeypox,pandemic [74] pandemic,unless Top Word Pairs in Tweet in G5:
[236] omicron,ba [236] ba,past [236] past,325 [236] 325,000 [236] 000,day [236] day,setting [236] setting,records [236] records,scotland [236] scotland,wales [236] wales,due Top Word Pairs in Tweet in G6:
[135] public,health [97] same,day [97] day,twitter [97] twitter,reinstated [97] reinstated,alex [97] alex,berenson [97] berenson,twitter [97] twitter,permanently [97] permanently,banned [97] banned,longtime Top Word Pairs in Tweet in G7:
[211] wanting,politician [211] politician,college [211] college,degree [211] degree,isn [211] isn,elitist [211] elitist,need [211] need,educated [211] educated,help [211] help,run [211] run,whole Top Word Pairs in Tweet in G8:
[163] therapy,privilege [163] privilege,please [163] please,don [163] don,tell [163] tell,people [163] people,go [163] go,therapy [163] therapy,unless [163] unless,advocate [163] advocate,expanding Top Word Pairs in Tweet in G9:
[162] ทว,ตน [162] ตน,เร [162] เร,องน [162] องน,ส [162] ส,ดท [162] ดท,ายละ [162] ายละ,เคยพ [162] เคยพ,ดตลอดว [162] ดตลอดว,าเราม [162] าเราม,awareness Top Word Pairs in Tweet in G10:
[149] one,pediatricians [149] pediatricians,#highlandpark [149] #highlandpark,today [149] today,devastated [149] devastated,afraid [149] afraid,angry [149] angry,take [148] sheenagupta,one [11] public,health [4] health,crisis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: