The graph represents a network of 697 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 19:20 UTC.
The tweets in the network were tweeted over the 3144-day, 11-hour, 19-minute period from Sunday, 03 August 2014 at 02:15 UTC to Monday, 13 March 2023 at 13:34 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 : 697
Unique Edges : 402
Edges With Duplicates : 10338
Total Edges : 10740
Number of Edge Types : 9
Tweet : 687
Retweet : 1237
MentionsInRetweet : 1752
Replies to : 2000
MentionsInReplyTo : 3330
Mentions : 455
MentionsInQuote : 208
Quote : 1062
MentionsInQuoteReply : 9
Self-Loops : 1025
Reciprocated Vertex Pair Ratio : 0.181526104417671
Reciprocated Edge Ratio : 0.307273963290279
Connected Components : 49
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 523
Maximum Edges in a Connected Component : 10366
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.743288
Graph Density : 0.00303228945068355
Modularity : 0.093614
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 697 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 19:20 UTC.
The tweets in the network were tweeted over the 3144-day, 11-hour, 19-minute period from Sunday, 03 August 2014 at 02:15 UTC to Monday, 13 March 2023 at 13:34 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:
[193] social,media [166] set,boundaries [164] both,negotiables [164] negotiables,non [164] life,allow [164] non,negotiables [164] upon,yourself [164] allow,everyone [164] yourself,both [164] negotiables,life Top Word Pairs in Tweet in G1:
[161] yourself,both [161] life,allow [161] set,boundaries [161] negotiables,non [161] upon,yourself [161] negotiables,life [161] allow,everyone [161] boundaries,upon [161] non,negotiables [161] both,negotiables Top Word Pairs in Tweet in G2:
[117] social,media [84] good,evening [68] endocrine_witch,bonedoc [51] endocrine_witch,giasison [45] evening,#healthxph [38] giasison,healthxph [36] t3,#healthxph [34] healthcare,workers [33] helenvmadamba,endocrine_witch [33] #healthxph,tweet Top Word Pairs in Tweet in G3:
[100] tweet,chat [96] #healthxph,tweet [45] social,media [26] join,#healthxph [24] pm,manila [23] manila,time [19] helenvmadamba,giasison [17] second,opinion [16] #healthxph,endocrine_witch [15] helenvmadamba,bonedoc Top Word Pairs in Tweet in G4:
[60] person,living [60] hiv,help [60] rn,md [60] md,involved [60] help,finish [60] aids,care [60] hiv,aids [60] involved,hiv [60] help,shape [60] finish,phd Top Word Pairs in Tweet in G5:
[25] social,media [24] #healthxph,chat [12] challenges,#healthxph [12] remo,joining [11] bonedoc,t2 [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:
[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 G8:
[13] cut,genitals [13] pain,describe [13] surgery,carried [13] apart,pain [13] without,anesthesia [13] carried,without [13] anesthesia,apart [13] genitals,surgery [13] blade,cut [12] thegirdlengr,blade Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[6] #healthylifestyle,#healthxph [6] #weightloss,#weightlossjourney [6] weight,regulation [6] regulation,product [6] people,#weightloss [6] usa,people [6] #weightlossjourney,#healthylifestyle [6] #healthxph,order [6] product,usa [4] order,co 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 G10:
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: