The graph represents a network of 689 Twitter users whose recent tweets contained "#HealthXPh", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 20:50 UTC.
The tweets in the network were tweeted over the 3137-day, 3-hour, 7-minute period from Sunday, 03 August 2014 at 02:15 UTC to Monday, 06 March 2023 at 05:23 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 : 689
Unique Edges : 407
Edges With Duplicates : 10367
Total Edges : 10774
Number of Edge Types : 9
Tweet : 678
Retweet : 1230
MentionsInRetweet : 1762
Replies to : 2013
MentionsInReplyTo : 3359
MentionsInQuote : 202
Quote : 1056
Mentions : 465
MentionsInQuoteReply : 9
Self-Loops : 1013
Reciprocated Vertex Pair Ratio : 0.178743961352657
Reciprocated Edge Ratio : 0.30327868852459
Connected Components : 47
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 519
Maximum Edges in a Connected Component : 10415
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.74198
Graph Density : 0.00308839909541972
Modularity : 0.091227
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 689 Twitter users whose recent tweets contained "#HealthXPh", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 20:50 UTC.
The tweets in the network were tweeted over the 3137-day, 3-hour, 7-minute period from Sunday, 03 August 2014 at 02:15 UTC to Monday, 06 March 2023 at 05:23 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 : TwitterSearch2
Graph Term : #HealthXPh
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:
[201] social,media [164] set,boundaries [162] both,negotiables [162] negotiables,non [162] life,allow [162] non,negotiables [162] upon,yourself [162] allow,everyone [162] yourself,both [162] negotiables,life Top Word Pairs in Tweet in G1:
[159] yourself,both [159] life,allow [159] set,boundaries [159] negotiables,non [159] upon,yourself [159] negotiables,life [159] allow,everyone [159] boundaries,upon [159] non,negotiables [159] both,negotiables Top Word Pairs in Tweet in G2:
[118] social,media [85] good,evening [66] endocrine_witch,bonedoc [53] endocrine_witch,giasison [43] evening,#healthxph [38] giasison,healthxph [36] t3,#healthxph [34] healthcare,workers [34] helenvmadamba,endocrine_witch [33] t2,#healthxph Top Word Pairs in Tweet in G3:
[97] tweet,chat [93] #healthxph,tweet [48] social,media [24] join,#healthxph [23] pm,manila [22] manila,time [19] helenvmadamba,giasison [17] second,opinion [16] helenvmadamba,bonedoc [16] #healthxph,endocrine_witch Top Word Pairs in Tweet in G4:
[59] person,living [59] hiv,help [59] rn,md [59] md,involved [59] help,finish [59] aids,care [59] hiv,aids [59] involved,hiv [59] help,shape [59] finish,phd Top Word Pairs in Tweet in G5:
[28] social,media [25] #healthxph,chat [11] bonedoc,t2 [11] challenges,#healthxph [11] remo,joining [10] t2,suggestions [10] #leadership,tnvora [10] address,challenges [10] suggestions,address [10] #healthxph,#leadership Top Word Pairs in Tweet in G6:
[5] #health,#healthcare [4] #healthxph,#healthy [4] #healthy,#healthtech [4] #healthxph,#healthyfood [4] #health,#healthxph [3] #healthyfood,#healthxph [3] #healthcare,#healthxph [3] #healthxph,#healthyeating [3] #healthxph,#healthyfaithchat [3] #foodiebeauty,#food Top Word Pairs in Tweet in G7:
[11] health,political [11] health,professionals [11] before,doctors [11] t3,health [11] doctors,citizens [11] talk,politics [11] professionals,talk [11] online,before [11] citizens,health [11] politics,online Top Word Pairs in Tweet in G8:
[15] nephrology,edition [15] 2022,issue [15] ongoing,story [15] issue,kidneynews [15] 2022,june [15] physician,burnout [15] ca,2022 [15] story,physician [15] june,2022 [15] edition,ca Top Word Pairs in Tweet in G9:
[12] cut,genitals [12] pain,describe [12] surgery,carried [12] apart,pain [12] without,anesthesia [12] carried,without [12] anesthesia,apart [12] genitals,surgery [12] blade,cut [11] thegirdlengr,blade Top Word Pairs in Tweet in G10:
[3] help,colleagues [3] dear,friends [3] colleagues,hsc [3] hsc,#medtwitter [3] pinasmedisina,amsaphil [3] amsaphil,apmcsn [3] #medtwitter,#healthxph [3] please,help [3] #healthxph,pinasmedisina [3] friends,please 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 G7:
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 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: