The graph represents a network of 2,849 Twitter users whose recent tweets contained "HealthIT", 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 19:19 UTC.
The tweets in the network were tweeted over the 1994-day, 23-hour, 44-minute period from Tuesday, 25 July 2017 at 00:53 UTC to Tuesday, 10 January 2023 at 00:38 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 : 2849
Unique Edges : 2079
Edges With Duplicates : 8666
Total Edges : 10745
Number of Edge Types : 9
Retweet : 2900
MentionsInRetweet : 3616
Mentions : 1889
Tweet : 1307
MentionsInReplyTo : 586
Replies to : 192
MentionsInQuote : 174
Quote : 54
MentionsInQuoteReply : 27
Self-Loops : 1631
Reciprocated Vertex Pair Ratio : 0.0390604381103193
Reciprocated Edge Ratio : 0.0751841503683007
Connected Components : 174
Single-Vertex Connected Components : 107
Maximum Vertices in a Connected Component : 2127
Maximum Edges in a Connected Component : 9244
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.210546
Graph Density : 0.000485213617236089
Modularity : 0.328493
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,849 Twitter users whose recent tweets contained "HealthIT", 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 19:19 UTC.
The tweets in the network were tweeted over the 1994-day, 23-hour, 44-minute period from Tuesday, 25 July 2017 at 00:53 UTC to Tuesday, 10 January 2023 at 00:38 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 : HealthIT
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:
[755] #medtwitter,#meded [514] #healthtech,#healthit [439] #healthit,#medtech [206] #meded,#cardiotwitter [194] acute,myocardial [194] myocardial,infarction [169] #meded,#medtwitter [154] apothera,management [153] news,aggregator [143] apothera,diagnosis Top Word Pairs in Tweet in G1:
[717] #medtwitter,#meded [203] #meded,#cardiotwitter [191] acute,myocardial [191] myocardial,infarction [160] #meded,#medtwitter [144] apothera,management [139] apothera,diagnosis [136] diagnosis,management [136] hypertension,pregnancy [136] management,hypertension Top Word Pairs in Tweet in G2:
[122] #analytics,#bigdata [113] #bigdata,#ai [94] #ai,#iot [88] #flutter,#javascript [84] #serverless,#flutter [79] #python,#serverless [79] #ai,#python [76] #machinelearning,#ai [70] #healthtech,#healthit [66] #machinelearning,#serverless Top Word Pairs in Tweet in G3:
[25] rryanhowells,healthit_policy [23] healthit_policy,mickytripathi1 [23] healthprivacy,rryanhowells [22] hitpolicywonk,healthprivacy [21] health,developers [15] 31,2022 [15] listening,session [15] december,31 [15] secbecerra,onc_healthit [14] #curesact,deadline Top Word Pairs in Tweet in G4:
[80] starts,listen [80] listen,live [42] healthcare,today [37] john,lynn [28] #healthit,starts [27] colin,hung [25] #hitsm,#hitmc [25] today,john [24] health,innovation [24] talking,#healthit Top Word Pairs in Tweet in G5:
[2] questionable_d,cyntia_017 [2] _soytiti,zerotimenear [2] stinkyfresh,questionable_d [2] adeyemisamson10,_the_profess0r [2] healthit,frengerquentin [2] shinynfte_eth,du0ngvu [2] du0ngvu,emmelomar [2] cyntia_017,healthit [2] frengerquentin,shinynfte_eth [2] blueeyednft,adeyemisamson10 Top Word Pairs in Tweet in G6:
[38] #healthit,#healthcareit [37] #healthcareit,#informatics [37] #informatics,#technology [36] #technology,#healthit [33] #informatics,#healthcare [33] #healthcare,#healthcareit [33] #healthit,#news [33] #healthcareit,#technology [27] #covid19,#usa [27] #therapy,#primarycare Top Word Pairs in Tweet in G7:
[18] headlines,#hit [18] #healthit,headlines [18] today's,#healthit [18] #hit,thanks [17] healthitnews,#healthit [17] #healthit,#cdwsocial [15] #startups,understood [15] advanced,#primarycare [15] hear,thoughts [15] love,hear Top Word Pairs in Tweet in G8:
[3] love,artblocks [2] wait,mint [2] cant,wait Top Word Pairs in Tweet in G9:
[3] behind,great [3] artist,behind [2] space,right [2] doesnt,sell [2] sell,fast [2] best,project [2] hope,doesnt [2] project,space Top Word Pairs in Tweet in G10:
[17] learn,more [14] health,tech [14] today,thanks [14] news,today [14] #healthit,#healthcare [14] tech,news [10] ontario,shores [10] jan,14 [9] #hl7wgm,#healthit [8] #hl7,#fhir Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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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: