The graph represents a network of 358 Twitter users whose recent tweets contained "#TeamGP", 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 Wednesday, 29 April 2020 at 17:21 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 55-minute period from Tuesday, 21 April 2020 at 18:05 UTC to Wednesday, 29 April 2020 at 17:01 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 : 358
Unique Edges : 812
Edges With Duplicates : 303
Total Edges : 1115
Self-Loops : 72
Reciprocated Vertex Pair Ratio : 0.0334128878281623
Reciprocated Edge Ratio : 0.0646651270207852
Connected Components : 33
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 242
Maximum Edges in a Connected Component : 944
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.370127
Graph Density : 0.00677589471542807
Modularity : 0.494561
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 358 Twitter users whose recent tweets contained "#TeamGP", 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 Wednesday, 29 April 2020 at 17:21 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 55-minute period from Tuesday, 21 April 2020 at 18:05 UTC to Wednesday, 29 April 2020 at 17:01 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 : #TeamGP
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[41] attend,person [41] offering,full [41] full,service [41] service,possible [41] gps,open [39] #itsnotjustcovid,nhs [38] please,go [38] go,online [38] online,attend [38] person,w Top Word Pairs in Tweet in G1:
[14] gps,open [14] attend,person [14] offering,full [14] full,service [14] service,possible [12] #itsnotjustcovid,nhs [11] nhs,gps [11] open,'as [11] 'as,usual' [11] doors,closed Top Word Pairs in Tweet in G2:
[34] #rcgptogether,#teamgp [17] during,#covid19 [12] chair,martinrcgp [12] martinrcgp,adorable [12] adorable,friend [12] friend,set [12] set,up [12] up,remote [12] remote,surgery [12] surgery,join Top Word Pairs in Tweet in G3:
[26] thetimes,#itsnotjustcovid [26] #itsnotjustcovid,nhs [26] nhs,gps [26] gps,open [26] open,'as [26] 'as,usual' [26] usual',please [26] please,go [26] go,online [26] online,attend Top Word Pairs in Tweet in G4:
[4] pal,videographer [4] videographer,set [4] set,challenge [4] challenge,make [4] make,day [4] day,life [4] life,video [4] video,week [4] week,ve [4] ve,never Top Word Pairs in Tweet in G5:
[3] jasjitkauratwal,raomala [3] #primarycare,permanently [3] permanently,changed [3] changed,#covid19 [3] #covid19,great [3] great,fun [3] fun,beginning [3] beginning,look [3] look,future [3] future,#teamgp Top Word Pairs in Tweet in G6:
[22] #meded,#medtwitter [18] #medtwitter,#hcsm [16] #hcsm,#teamgp [10] #teamgp,#foamed [6] #foamed,#teamgp [5] benzo,aware [5] aware,esp [5] #covid19,#meded [4] #virology,#immunology [4] #immunology,#neurology Top Word Pairs in Tweet in G7:
[11] special,constable [11] constable,recruitment [11] recruitment,open [11] open,feel [11] feel,want [11] want,make [11] make,difference [11] difference,want [11] want,give [11] give,something Top Word Pairs in Tweet in G8:
[4] hseimm,#gp [4] #gp,#nurses [4] #nurses,very [4] very,proud [4] proud,immunise [4] immunise,#protectourfuture [4] #protectourfuture,#gpns [4] #gpns,practicenurses [4] practicenurses,long [4] long,#frontline Top Word Pairs in Tweet in G10:
[10] #medstudentcovid,#teamgp [8] let's,going [8] going,#twitterchat [8] #twitterchat,coming [8] coming,thursday [8] thursday,7pm [8] 7pm,let's [8] let's,engage [8] engage,new [8] new,fiy1 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 G8:
Top Mentioned in G9:
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: