The graph represents a network of 966 Twitter users whose recent tweets were included in a list (Tweet ID List - @rcpsych) 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 Wednesday, 08 July 2020 at 19:14 UTC.
The tweets in the network were tweeted over the 454-day, 8-hour, 31-minute period from Thursday, 11 April 2019 at 08:58 UTC to Wednesday, 08 July 2020 at 17:30 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 : 966
Unique Edges : 1564
Edges With Duplicates : 5800
Total Edges : 7364
Self-Loops : 1457
Reciprocated Vertex Pair Ratio : 0.0896656534954407
Reciprocated Edge Ratio : 0.164574616457462
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 966
Maximum Edges in a Connected Component : 7364
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.993699
Graph Density : 0.00230746950728929
Modularity : 0.158483
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 966 Twitter users whose recent tweets were included in a list (Tweet ID List - @rcpsych) 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 Wednesday, 08 July 2020 at 19:14 UTC.
The tweets in the network were tweeted over the 454-day, 8-hour, 31-minute period from Thursday, 11 April 2019 at 08:58 UTC to Wednesday, 08 July 2020 at 17:30 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 - @rcpsych
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:
[629] mental,health [135] find,out [113] social,media [87] out,more [85] covid,19 [78] mental,illness [77] health,services [73] book,place [72] eating,disorders [67] annual,conference Top Word Pairs in Tweet in G1:
[548] mental,health [122] find,out [94] social,media [81] covid,19 [79] out,more [72] health,services [71] book,place [65] mental,illness [63] eating,disorders [63] annual,conference Top Word Pairs in Tweet in G2:
[37] mental,health [26] rcpsych's,#cpdonline [18] rcpsych,#rcpsychic [17] new,#podcast [17] #podcast,rcpsych's [15] social,media [13] #rcpsychic,rcpsych [12] wendyburn,drkatelovett [12] rcpsych,cambup_psych [11] looking,forward Top Word Pairs in Tweet in G3:
[9] mental,health [8] #worldmentalhealthday,#suicideprevention [5] gambling,clinic [4] national,problem [4] problem,gambling [4] gambling,addiction [3] fight,against [3] against,gambling [3] read,more [3] self,harm Top Word Pairs in Tweet in G4:
[9] mental,health [5] peer,support [3] values,principles [3] principles,practice [3] practice,peer [3] rcpsych,rcpsychcap [3] self,harm [2] rcpsych,published [2] published,new [2] new,guidance Top Word Pairs in Tweet in G5:
[5] young,onset [5] onset,#dementia [4] more,information [4] people,young [3] 360,feedback [3] feedback,system [3] contact,team [3] national,clinical [3] clinical,audit [2] eating,disorders Top Word Pairs in Tweet in G6:
[10] mental,health [6] self,harm [5] health,policing [4] liaison,psychiatry [3] mentalhealthcop,andrewmolodyns1 [3] session,mental [3] psychiatry,faculty [3] faculty,conference [2] 2,7 [2] don,t Top Word Pairs in Tweet in G7:
[3] mental,health [2] day,1 [2] rcpsych,wendyburn [2] health,service Top Word Pairs in Tweet in G8:
[10] mental,health [3] out,area [2] julia,seriously [2] seriously,ill [2] ill,sent [2] sent,hospital [2] hospital,three [2] three,hours [2] hours,home [2] home,around Top Word Pairs in Tweet in G9:
[2] rcpsych,#rcpsychic [2] service,users Top Word Pairs in Tweet in G10:
[3] dr,jane [3] jane,morris [2] people,know [2] #mentalhealthmatters,rcpsych [2] morning,talking Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: