The graph represents a network of 1,763 Twitter users whose recent tweets were included in a list (Tweet ID List - @rcpsglasgow) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Monday, 06 July 2020 at 18:14 UTC.
The tweets in the network were tweeted over the 676-day, 6-hour, 39-minute period from Thursday, 30 August 2018 at 07:35 UTC to Monday, 06 July 2020 at 14:14 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 : 1763
Unique Edges : 2539
Edges With Duplicates : 8791
Total Edges : 11330
Self-Loops : 1052
Reciprocated Vertex Pair Ratio : 0.09214263174503
Reciprocated Edge Ratio : 0.168737359144756
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1763
Maximum Edges in a Connected Component : 11330
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996826
Graph Density : 0.00111414927733207
Modularity : 0.17617
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,763 Twitter users whose recent tweets were included in a list (Tweet ID List - @rcpsglasgow) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Monday, 06 July 2020 at 18:14 UTC.
The tweets in the network were tweeted over the 676-day, 6-hour, 39-minute period from Thursday, 30 August 2018 at 07:35 UTC to Monday, 06 July 2020 at 14:14 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 : Tweet ID List - @rcpsglasgow
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:
[162] book,place [144] view,full [143] covid,19 [128] full,details [123] find,out [97] looking,forward [88] travel,medicine [70] place,website [67] out,more [66] rcsed,rcsnews Top Word Pairs in Tweet in G1:
[155] book,place [144] view,full [126] full,details [117] covid,19 [104] find,out [78] travel,medicine [70] place,website [64] looking,forward [56] out,more [56] full,programme Top Word Pairs in Tweet in G2:
[27] rcpsglasgow,#medicine24 [23] looking,forward [19] rcpsglasgow,jackiedocjt [13] come,along [12] rcpsglasgow,rcpedin [11] forward,welcoming [11] rcpsglasgow,richard73015322 [11] rcpsglasgow,rcpsgheritage [11] find,out [10] #medicine24,rcpsglasgow Top Word Pairs in Tweet in G3:
[31] rcsed,rcsnews [28] rcsnews,rcpsglasgow [27] rcpsglasgow,rcsi_irl [22] asitofficial,bota_uk [20] bota_uk,rcsed [14] #notrainingtodaynosurgeonstomorrow,asitofficial [10] covid,19 [9] rcsed,rcpsglasgow [8] rcpsglasgow,rcsed [7] rcsnews,rcsed Top Word Pairs in Tweet in G4:
[5] rcpsglasgow,collegepodiatry [5] helenbevan,jasonleitch [4] podiatric,medicine [4] collegepodiatry,rcpsglasgow [3] faculty,podiatric [3] medicine,rcpsglasgow [3] jamie,quin [3] westm61,helenbevan [3] lesleyahpd,krishpod7 [2] student,conference Top Word Pairs in Tweet in G5:
[10] global,citizenship [7] nhs,scotland [6] citizenship,conference [5] clinical,leadership [5] health,care [5] cathcalderwood1,jasonleitch [4] scottish,clinical [4] scotland,global [4] scotland,s [4] minister,benmacpherson Top Word Pairs in Tweet in G6:
[5] faculty,travel [5] travel,medicine [5] wegpns,rcngpnforum [4] wegpns,spnascotland [4] rcngpnforum,rcpsglasgow [4] travel,health [3] rcpsglasgow,bgtha [3] rcpsglasgow,nathnac [3] wegpns,nathnac [3] nathnac,bgtha Top Word Pairs in Tweet in G7:
[10] 19,00 [9] 18,30 [7] free,attend [5] critical,care [4] 00,lectures [4] 2,cpd [4] re,back [4] back,thursday [4] same,bat [3] pre,register Top Word Pairs in Tweet in G8:
[6] sexual,health [4] health,hiv [4] rcpsglasgow,rcpedin [3] hiv,programme [3] e,learning [3] session,chemsex [3] bashh_uk,rcplondon [3] rcplondon,rcpsglasgow [2] more,here [2] learning,session 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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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: