The graph represents a network of 583 Twitter users whose recent tweets contained "psychiatry AND (juvenile OR youth OR children OR young)", 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 Sunday, 10 November 2019 at 11:15 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 38-minute period from Friday, 01 November 2019 at 11:17 UTC to Sunday, 10 November 2019 at 10:56 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 : 594
Unique Edges : 733
Edges With Duplicates : 364
Total Edges : 1097
Number of Edge Types : 4
Mentions : 458
Retweet : 374
Replies to : 118
Tweet : 147
Self-Loops : 156
Reciprocated Vertex Pair Ratio : 0,0597667638483965
Reciprocated Edge Ratio : 0,112792297111417
Connected Components : 117
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 129
Maximum Edges in a Connected Component : 295
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2,913292
Graph Density : 0,00206392196274152
Modularity : 0,625219
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 583 Twitter users whose recent tweets contained "psychiatry AND (juvenile OR youth OR children OR young)", 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 Sunday, 10 November 2019 at 11:15 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 38-minute period from Friday, 01 November 2019 at 11:17 UTC to Sunday, 10 November 2019 at 10:56 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 : psychiatry AND (juvenile OR youth OR children OR young)
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:
[238] boomer,parents [136] adolescent,psychiatry [125] american,academy [125] academy,child [119] parents,millenials [119] millenials,made [119] made,bad [119] bad,choices [119] choices,millenial [119] millenial,children Top Word Pairs in Tweet in G1:
[238] boomer,parents [119] parents,millenials [119] millenials,made [119] made,bad [119] bad,choices [119] choices,millenial [119] millenial,children [119] children,considered [119] considered,maybe [119] maybe,taking Top Word Pairs in Tweet in G2:
[88] american,academy [88] academy,child [88] adolescent,psychiatry [74] child,adolescent [74] psychiatry,released [74] released,statement [74] statement,importance [74] importance,affirming [74] affirming,treatment [74] treatment,transgender Top Word Pairs in Tweet in G3:
[20] #adhd,#children [20] #children,#mentalillness [20] #mentalillness,#mentalhealth [20] #mentalhealth,#health [20] #health,#depression [20] #depression,#anxiety [20] #anxiety,#psychiatry [20] #psychiatry,#pasadena [20] #pasadena,#joeharaszti [17] mental,health Top Word Pairs in Tweet in G4:
[29] call,review [29] review,papers [29] journal,american [29] american,academy [29] academy,child [29] child,adolescent [29] adolescent,psychiatry [29] psychiatry,learn [29] learn,more [16] papers,children Top Word Pairs in Tweet in G5:
[9] young,people [7] health,care [5] helen,herman [5] herman,president [5] president,wpa_psychiatry [5] wpa_psychiatry,addressing [5] addressing,key [5] key,role [5] role,digital [5] digital,health Top Word Pairs in Tweet in G6:
[18] let's,raise [18] raise,children [18] children,need [18] need,recover [18] recover,childhoods [18] childhoods,#children [18] #children,#stopchildabuse [18] #stopchildabuse,#savethechildren [18] #savethechildren,#childprotection [18] #childprotection,#humanrights Top Word Pairs in Tweet in G7:
[3] annmarcos1,brush [3] brush,psychiatry [3] psychiatry,clinical [3] clinical,psychology [3] psychology,young [3] young,depressed [3] depressed,person [3] person,similar [3] similar,stigmatising [3] stigmatising,degrading Top Word Pairs in Tweet in G8:
[11] fact,day [11] day,psychiatry [11] psychiatry,allowed [11] allowed,anywhere [11] anywhere,near [11] near,children [11] children,who've [11] who've,experienced [11] experienced,abuse [11] abuse,another Top Word Pairs in Tweet in G9:
[8] mental,health [6] psychiatry,without [6] without,little [6] little,magic [6] magic,dr [6] dr,moghraby [6] moghraby,enlightening [6] enlightening,audience [6] audience,questions [6] questions,ask Top Word Pairs in Tweet in G10:
[7] sure,makes [7] makes,day [7] day,incredible [7] incredible,young [7] young,lady [7] lady,definitely [7] definitely,meant [7] meant,psychiatry [5] one,grave [5] grave,mistakes Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G5:
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: