The graph represents a network of 321 Twitter users whose recent tweets contained "#EPA2024", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 4/2/2024 12:00:00 AM and 4/9/2024 7:09:22 AM. The network was obtained from Twitter on Tuesday, 09 April 2024 at 14:10 UTC.
The tweets in the network were tweeted over the 201-day, 23-hour, 47-minute period from Wednesday, 20 September 2023 at 14:17 UTC to Tuesday, 09 April 2024 at 14:04 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 321
Unique Edges : 506
Edges With Duplicates : 473
Total Edges : 979
Number of Edge Types : 8
Quote : 22
Mentions : 260
Retweet : 296
MentionsInRetweet : 261
Tweet : 104
MentionsInQuote : 24
Replies to : 7
MentionsInReplyTo : 5
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.0900735294117647
Reciprocated Edge Ratio : 0.165261382799325
Connected Components : 31
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 261
Maximum Edges in a Connected Component : 911
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.196018
Graph Density : 0.00577297507788162
Modularity : 0.427094
NodeXL Version : 1.0.1.530
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=294637
Data Import : The graph represents a network of 321 Twitter users whose recent tweets contained "#EPA2024", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 4/2/2024 12:00:00 AM and 4/9/2024 7:09:22 AM. The network was obtained from Twitter on Tuesday, 09 April 2024 at 14:10 UTC.
The tweets in the network were tweeted over the 201-day, 23-hour, 47-minute period from Wednesday, 20 September 2023 at 14:17 UTC to Tuesday, 09 April 2024 at 14:04 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : #EPA2024
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[63] mental,health [32] #epa2024,euro_psychiatry [26] claro,cuanto [26] población,euro_psychiatry [26] casos,#psicosis [26] #psicosis,población [26] cuanto,accesible [26] #cannabis,casos [26] mensaje,claro [26] accesible,#cannabis Top Word Pairs in Tweet in G1:
[36] mental,health [25] #cannabis,casos [25] accesible,#cannabis [25] claro,cuanto [25] mensaje,claro [25] población,euro_psychiatry [25] casos,#psicosis [25] cuanto,accesible [25] #psicosis,población [24] caldirector,mensaje Top Word Pairs in Tweet in G2:
[12] euro_psychiatry,#epa2024 [10] #epa2024,ecp [9] ecpc,chair [8] #epa2024,ecpc [8] chair,gondektm [7] euro_psychiatry,ecpc [7] full,house [7] #epa2024,euro_psychiatry [7] danuta,wasserman [7] uemsp,dr Top Word Pairs in Tweet in G3:
[7] #epa2024,euro_psychiatry [7] mental,health [6] european,psychiatry [6] organised,euro_psychiatry [5] people,living [5] eu_brain,eufami [5] falkai2,#epa2024 [5] really,interesting [5] interesting,talk [5] psychiatry,journal Top Word Pairs in Tweet in G4:
[7] #epa2024,euro_psychiatry [7] early,detection [7] reality,tackling [7] resistance,#mentalhealth [7] #mentalhealth,treatment [7] risk,individuals [7] treatment,reality [7] tackling,means [7] means,early [7] detection,risk Top Word Pairs in Tweet in G5:
[14] care,uk [14] mh,care [14] aluzri1,presenting [14] conclusion,cmh [14] presenting,tour [14] review,community [14] services,shaped [14] force,review [14] #epa2024,conclusion [14] uk,#epa2024 Top Word Pairs in Tweet in G6:
[6] mental,health [3] congress,psychiatry [3] 32nd,european [3] european,congress [3] #epa2024,#budapest [2] intuitive,eating [2] incluso,sufren [2] #epa2024,32nd [2] piensan,observan [2] #españa,piensan Top Word Pairs in Tweet in G7:
[8] wisepressbooks,stand [7] european,psychiatric [5] find,latest [5] #epa2024,find [5] latest,publications [5] attending,#epa2024 [5] stand,online [5] publications,apa_publishing [5] apa_publishing,wisepressbooks [4] congress,2024 Top Word Pairs in Tweet in G8:
[7] very,interesting [5] #epa2024,#epachallenge2024 [4] share,very [4] pleasure,share [4] interesting,symposium [4] symposium,#epa2024 [4] great,pleasure [3] congratulations,#epa2024 [3] consecuences,amazing [3] great,insights Top Word Pairs in Tweet in G9:
[5] interesting,workshop [5] honour,co [5] very,interesting [5] practical,assessment [5] assessment,cannabis [5] co,chair [5] workshop,practical [5] cannabis,use [5] yesterday,honour [5] chair,very Top Word Pairs in Tweet in G10:
[6] suicide,prevention [6] prevention,line [6] integrated,medical [6] 061,suicide [6] medical,emergencies [6] fully,integrated [6] system,catalonia [6] line,fully [6] presents,061 [6] health,system 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 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 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:
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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: