The graph represents a network of 169 Twitter users whose recent tweets contained "Telehealth (Oz OR Australia OR NSW OR QLD OR Victoria OR Canberra OR Perth)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 22 July 2021 at 04:32 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 27-minute period from Tuesday, 13 July 2021 at 23:18 UTC to Wednesday, 21 July 2021 at 14:45 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 : 169
Unique Edges : 187
Edges With Duplicates : 14
Total Edges : 201
Number of Edge Types : 5
Retweet : 81
Replies to : 19
Tweet : 52
Mentions : 29
MentionsInRetweet : 20
Self-Loops : 54
Reciprocated Vertex Pair Ratio : 0.0212765957446809
Reciprocated Edge Ratio : 0.0416666666666667
Connected Components : 53
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 29
Maximum Edges in a Connected Component : 41
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.479567
Graph Density : 0.00507185122569738
Modularity : 0.756442
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 169 Twitter users whose recent tweets contained "Telehealth (Oz OR Australia OR NSW OR QLD OR Victoria OR Canberra OR Perth)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 22 July 2021 at 04:32 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 27-minute period from Tuesday, 13 July 2021 at 23:18 UTC to Wednesday, 21 July 2021 at 14:45 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 : Telehealth (Oz OR Australia OR NSW OR QLD OR Victoria OR Canberra OR Perth)
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:
[29] listen,survey [29] survey,experience [29] experience,telehealth [29] telehealth,australia [29] australia,needs [29] needs,another [29] another,500 [29] 500,participants [29] participants,ensure [29] ensure,authenticity Top Word Pairs in Tweet in G1:
[29] listen,survey [29] survey,experience [29] experience,telehealth [29] telehealth,australia [29] australia,needs [29] needs,another [29] another,500 [29] 500,participants [29] participants,ensure [29] ensure,authenticity Top Word Pairs in Tweet in G2:
[9] adds,more [9] more,telehealth [9] telehealth,services [9] services,lockdowns [9] lockdowns,continue [9] continue,australia [8] government,adds [6] prime,minister [4] scott,morrison [4] revamped,covid Top Word Pairs in Tweet in G3:
[2] colinmendelsohn,vaporman6 [2] vaporman6,rwade300 [2] rwade300,jcrdarwin [2] jcrdarwin,abcnews [2] abcnews,hbowly [2] hbowly,livepippas [2] livepippas,vapernt [2] vapernt,alexwodak [2] alexwodak,legalisevaping [2] legalisevaping,adammann14 Top Word Pairs in Tweet in G4:
[17] scott,morrison [14] prime,minister [14] minister,scott [12] morrison,propose [12] national,cabinet [10] #breaking,prime [10] propose,completely [10] completely,revamped [10] revamped,covid [10] covid,disaster Top Word Pairs in Tweet in G5:
[3] clarkie_qld,favfavalore [3] favfavalore,reduced [3] reduced,telehealth [3] telehealth,phone [3] phone,consults [3] consults,much [3] much,population [3] population,lockdown [3] lockdown,another [3] another,significant Top Word Pairs in Tweet in G6:
[7] government,adds [7] adds,more [7] more,telehealth [7] telehealth,services [7] services,lockdowns [7] lockdowns,continue [7] continue,australia [5] australia,ashabeeeee [4] newview,capital [4] telehealth,platform Top Word Pairs in Tweet in G7:
[5] scott,morrison [5] morrison,covid [5] covid,update [5] update,currently [5] currently,sydney [5] sydney,relocate [5] relocate,canberra [5] canberra,next [5] next,week [5] week,ahead Top Word Pairs in Tweet in G9:
[2] gp,first Top Word Pairs in Tweet in G10:
[4] won,forget [2] prime,minister [2] nsw,lockdown [2] lockdown,scottmorrisonmp [2] scottmorrisonmp,provides [2] provides,immediate [2] immediate,financial [2] financial,support [2] support,childcare [2] childcare,rebate Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
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: