The graph represents a network of 1,697 Twitter users whose recent tweets contained "#digitalhealth", 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 21/03/24 12:00:00 AM and 28/03/24 2:51:27 PM. The network was obtained from Twitter on Thursday, 28 March 2024 at 13:22 UTC.
The tweets in the network were tweeted over the 2626-day, 3-hour, 11-minute period from Wednesday, 18 January 2017 at 12:10 UTC to Thursday, 28 March 2024 at 15:22 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 : 1697
Unique Edges : 1860
Edges With Duplicates : 1776
Total Edges : 3636
Number of Edge Types : 9
Tweet : 846
Retweet : 855
Mentions : 686
MentionsInRetweet : 501
Quote : 251
MentionsInQuote : 96
MentionsInReplyTo : 236
Replies to : 162
MentionsInQuoteReply : 3
Self-Loops : 1143
Reciprocated Vertex Pair Ratio : 0.0477285796434733
Reciprocated Edge Ratio : 0.0911086717892426
Connected Components : 437
Single-Vertex Connected Components : 252
Maximum Vertices in a Connected Component : 619
Maximum Edges in a Connected Component : 2065
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.775678
Graph Density : 0.000633053890884024
Modularity : 0.503782
NodeXL Version : 1.0.1.529
Data Import : The graph represents a network of 1,697 Twitter users whose recent tweets contained "#digitalhealth", 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 21/03/24 12:00:00 AM and 28/03/24 2:51:27 PM. The network was obtained from Twitter on Thursday, 28 March 2024 at 13:22 UTC.
The tweets in the network were tweeted over the 2626-day, 3-hour, 11-minute period from Wednesday, 18 January 2017 at 12:10 UTC to Thursday, 28 March 2024 at 15:22 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 : #digitalhealth
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:
[283] #healthcare,#digitalhealth [226] digital,health [174] #ehealth,#healthcare [173] #healthcareit,#ehealth [100] #healthtech,#digitalhealth [80] #digitalhealth,#healthtech [67] #create,#indianhealthcare [67] #collaborate,#create [67] #healthfinancing,#csrhealthcare [67] #digitalhealth,#healthfinancing Top Word Pairs in Tweet in G1:
[26] digital,health [20] #healthtech,#digitalhealth [18] #healthcare,#digitalhealth [17] learn,more [11] read,more [10] #medicine,#digitalhealth [10] #digitalhealth,#healthtech [9] #digitalhealth,#healthcareinnovation [9] patient,care [7] help,python Top Word Pairs in Tweet in G2:
[245] #healthcare,#digitalhealth [174] #ehealth,#healthcare [173] #healthcareit,#ehealth [60] #patientsafety,#software [59] #simplifyingselection,#healthcare [59] #digitalhealth,#doctors [59] #doctors,#patient [56] #patient,#hospital [51] #hospital,#health [50] #biotech,#technology Top Word Pairs in Tweet in G3:
[18] #digitalhealth,#healthtech [13] #healthtech,#healthcare [8] #ai,#ml [7] #machinelearning,#genai [7] #ml,#artificialintelligence [7] #healthcare,#ai [7] #artificialintelligence,#machinelearning [6] health,care [6] mental,health [5] interesting,engineering Top Word Pairs in Tweet in G4:
[46] #healthtech,#digitalhealth [24] #digitalhealth,#nhs [23] #nhs,#healthcare [18] economic,forum [18] world,economic [18] forum,#healthtech [18] used,#healthcare [18] #ai,used [18] ways,#ai [18] #healthcare,world Top Word Pairs in Tweet in G5:
[9] digital,health [6] data,sharing [5] #pulmonaryfibrosis,patients [5] accurately,identify [5] lung,ai [5] identify,idiopathic [5] idiopathic,#pulmonaryfibrosis [5] patients,progress [5] brainomix's,lung [5] ai,accurately Top Word Pairs in Tweet in G6:
[5] special,thanks [5] thanks,pswider [5] patient,orchestrated [5] pswider,invite [5] invite,speak [5] rise,patient [5] speak,boston_hug [5] boston_hug,rise [5] tech,stack [5] orchestrated,tech Top Word Pairs in Tweet in G7:
[12] vsevolod,katritch [12] streamlining,drug [12] approaches,streamlining [12] drug,discovery [12] katritch,nature [12] asadybekov,vsevolod [12] computational,approaches [12] discovery,asadybekov [11] ipfconline1,computational [9] digital,health Top Word Pairs in Tweet in G8:
[10] digital,health [6] gt,gt [5] #medtech,#healthtech [4] multi,stakeholder [4] stakeholder,consultation [4] #patientportal,#telehealth [4] host,event [4] diabetes,management [4] #digitalhealthnavigator,#digitalhealth [4] refine,newly Top Word Pairs in Tweet in G9:
[23] id,shaping [23] secure,medical [23] data,blockchain [23] healthcare,secure [23] shaping,future [23] gain,full [23] medical,data [23] full,control [23] future,healthcare [23] dehealth,id Top Word Pairs in Tweet in G10:
[15] guideline,join [15] rnao,partnership [15] introduce,best [15] partnership,hrhealth_ [15] sneak,peek [15] practice,guideline [15] excited,introduce [15] join,today [15] best,practice [15] hrhealth_,excited Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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: