The graph represents a network of 2,768 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 19:20 UTC.
The tweets in the network were tweeted over the 2202-day, 12-hour, 29-minute period from Thursday, 23 February 2017 at 12:30 UTC to Tuesday, 07 March 2023 at 01:00 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 : 2768
Unique Edges : 2933
Edges With Duplicates : 9222
Total Edges : 12155
Number of Edge Types : 9
Replies to : 353
MentionsInReplyTo : 1270
Mentions : 2455
Retweet : 2360
MentionsInRetweet : 3966
Tweet : 1361
MentionsInQuoteReply : 15
Quote : 100
MentionsInQuote : 275
Self-Loops : 1975
Reciprocated Vertex Pair Ratio : 0.0461571489909833
Reciprocated Edge Ratio : 0.0882413297763185
Connected Components : 266
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 2149
Maximum Edges in a Connected Component : 10922
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.33927
Graph Density : 0.000636240288620425
Modularity : 0.332988
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,768 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 19:20 UTC.
The tweets in the network were tweeted over the 2202-day, 12-hour, 29-minute period from Thursday, 23 February 2017 at 12:30 UTC to Tuesday, 07 March 2023 at 01:00 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:
[244] line,treatments [217] dose,regimens [209] #medtwitter,#bioinformatics [174] treatments,#medtwitter [161] #medtwitter,#meded [154] first,line [139] learn,more [122] #healthcare,#healthcareit [118] #healthtech,#healthit [117] listen,live Top Word Pairs in Tweet in G1:
[117] starts,listen [117] listen,live [56] health,information [55] healthcare,today [50] #healthit,starts [48] john,lynn [35] colin,hung [35] qualified,health [33] information,exchange [32] today,john Top Word Pairs in Tweet in G2:
[205] line,treatments [195] #medtwitter,#bioinformatics [193] dose,regimens [154] treatments,#medtwitter [135] #medtwitter,#meded [132] first,line [94] ivig,dose [89] barre,syndrome [89] syndrome,gbs [89] guillain,barre Top Word Pairs in Tweet in G3:
[64] #healthit,#cybersecurity [58] #healthit,#healthcareit [57] #healthcare,#executive [57] #executive,#news [57] #healthit,headline [57] #infosec,#itsecurity [57] headline,beckershr [55] #cybersecurity,#infosec [53] #healthcareit,#informatics [52] #informatics,#technology Top Word Pairs in Tweet in G4:
[52] #technology,#healthit [51] #healthcare,#healthcareit [51] #healthit,#news [50] #healthcareit,#technology [50] #informatics,#healthcare [42] #healthit,#cdwsocial [24] during,pandemic [20] 영양제,추천 [20] healthcare,news [20] learn,more Top Word Pairs in Tweet in G5:
[101] cdcgov,onc_healthit [67] onc_healthit,cdcfound [37] public,health [31] health,data [26] onc_healthit,cdcgov [22] drjudymonroe,onc_healthit [22] cdcfound,drjudymonroe [22] data,systems [22] ushahmd,cdcfound [21] data,inform Top Word Pairs in Tweet in G6:
[72] #ai,#machinelearning [66] #healthcareuncomplicated,wearablesexpert [60] learn,more [59] #machinelearning,#iot [58] #iot,#ml [57] remote,patient [57] patient,monitoring [55] digital,health [55] #healthtech,#healthit [46] #ehealth,#healthit Top Word Pairs in Tweet in G7:
[23] #healthit,#interoperability [18] #hl7,#fhir [16] newest,#hl7 [13] look,forward [13] #hl7,gold [13] gold,member [12] forward,collaboration [10] support,look [10] march,14 [10] collaboration,#healthit Top Word Pairs in Tweet in G8:
[17] #healthit,#healthcare [16] tech,news [16] health,tech [16] today,thanks [16] news,today [14] join,fortinet [10] medical,devices [8] health,services [8] spark,joy [8] burnout,team Top Word Pairs in Tweet in G9:
[21] hit,daily [21] #healthit,#healthcare [20] #cmio,perspective [20] dirkmd,#cmio [19] daily,stories [13] #healthit,#healthtech [12] #workflow,#design [11] #digitalhealth,#healthit [9] #healthit,leaders [9] #foamed,#somedocs Top Word Pairs in Tweet in G10:
[21] #healthcare,#hitsm [21] #healthit,headlines [21] #hit,thanks [21] headlines,#hit [21] today's,#healthit [9] #hitsm,#healthit [4] signify,research [4] research,explains [4] amy,thompson [4] senior,analyst Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: