The graph represents a network of 670 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 20:21 UTC.
The tweets in the network were tweeted over the 3108-day, 14-hour, 22-minute period from Sunday, 03 August 2014 at 02:15 UTC to Sunday, 05 February 2023 at 16:38 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 : 670
Unique Edges : 410
Edges With Duplicates : 10249
Total Edges : 10659
Number of Edge Types : 9
Replies to : 1981
MentionsInReplyTo : 3209
Tweet : 740
Quote : 1055
Retweet : 1223
MentionsInRetweet : 1760
MentionsInQuote : 201
Mentions : 479
MentionsInQuoteReply : 11
Self-Loops : 1084
Reciprocated Vertex Pair Ratio : 0.171979865771812
Reciprocated Edge Ratio : 0.293486041517538
Connected Components : 50
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 555
Maximum Edges in a Connected Component : 10429
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.810485
Graph Density : 0.00311670347812507
Modularity : 0.091129
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 670 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 20:21 UTC.
The tweets in the network were tweeted over the 3108-day, 14-hour, 22-minute period from Sunday, 03 August 2014 at 02:15 UTC to Sunday, 05 February 2023 at 16:38 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:
[177] social,media [169] set,boundaries [166] both,negotiables [166] negotiables,non [166] life,allow [166] non,negotiables [166] upon,yourself [166] allow,everyone [166] yourself,both [166] negotiables,life Top Word Pairs in Tweet in G1:
[164] yourself,both [164] life,allow [164] set,boundaries [164] negotiables,non [164] upon,yourself [164] negotiables,life [164] allow,everyone [164] boundaries,upon [164] non,negotiables [164] both,negotiables Top Word Pairs in Tweet in G2:
[126] social,media [83] good,evening [62] endocrine_witch,bonedoc [60] mental,health [60] endocrine_witch,giasison [48] #healthxph,chat [44] evening,#healthxph [35] giasison,healthxph [34] bonedoc,cebumd [33] #healthxph,tweetchat Top Word Pairs in Tweet in G3:
[99] tweet,chat [96] #healthxph,tweet [33] social,media [20] pm,manila [19] helenvmadamba,giasison [19] manila,time [19] helenvmadamba,bonedoc [19] join,#healthxph [16] second,opinion [16] #healthxph,endocrine_witch Top Word Pairs in Tweet in G4:
[13] social,media [7] endocrine_witch,pat_health [7] endocrine_witch,bonedoc [7] blue,check [7] endocrine_witch,docligot [7] healthy,citizens [6] docligot,t3 [5] helenvmadamba,endocrine_witch [5] t3,#healthxph [5] fyi,#healthxph Top Word Pairs in Tweet in G5:
[5] #health,#healthcare [4] #healthxph,#healthy [4] #healthy,#healthtech [4] #healthxph,#healthyfood [4] #health,#healthxph [3] #healthyfaithchat,#healthy [3] #healthylifestyle,#healthxph [3] #healthy,#healthcare [3] #healthyfood,#healthxph [3] #healthcare,#healthxph Top Word Pairs in Tweet in G6:
[12] genenisperos,t3 [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 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:
[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 G9:
[3] #medtwitter,#healthxph [3] pinasmedisina,amsaphil [3] friends,please [3] please,help [3] #healthxph,pinasmedisina [3] hsc,#medtwitter [3] amsaphil,apmcsn [3] colleagues,hsc [3] help,colleagues [3] dear,friends Top Word Pairs in Tweet in G10:
[6] usa,people [6] people,#weightloss [6] #healthxph,order [6] #healthylifestyle,#healthxph [6] product,usa [6] weight,regulation [6] #weightloss,#weightlossjourney [6] #weightlossjourney,#healthylifestyle [6] regulation,product [4] co,zqjbjgopl4 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 G6:
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: