The graph represents a network of 2,674 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 18:20 UTC.
The tweets in the network were tweeted over the 2209-day, 11-hour, 19-minute period from Thursday, 23 February 2017 at 12:30 UTC to Monday, 13 March 2023 at 23:50 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 : 2674
Unique Edges : 2868
Edges With Duplicates : 8930
Total Edges : 11798
Number of Edge Types : 9
Mentions : 2481
MentionsInReplyTo : 1167
Replies to : 324
Retweet : 2215
MentionsInRetweet : 3652
Tweet : 1560
MentionsInQuoteReply : 15
MentionsInQuote : 282
Quote : 102
Self-Loops : 2167
Reciprocated Vertex Pair Ratio : 0.0477386934673367
Reciprocated Edge Ratio : 0.0911270983213429
Connected Components : 254
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 2176
Maximum Edges in a Connected Component : 10887
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.453745
Graph Density : 0.000641753695854918
Modularity : 0.325255
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,674 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 18:20 UTC.
The tweets in the network were tweeted over the 2209-day, 11-hour, 19-minute period from Thursday, 23 February 2017 at 12:30 UTC to Monday, 13 March 2023 at 23:50 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:
[313] #digitalhealth,#healthit [291] #healthit,#healthtech [254] #medtwitter,#bioinformatics [239] dose,regimens [219] #healthtech,#healthcaretechnology [192] line,treatments [154] #medtwitter,#meded [149] learn,more [130] #healthcare,#healthcareit [127] #healthtech,#healthit Top Word Pairs in Tweet in G1:
[31] mickytripathi1,onc_healthit [30] information,exchange [24] resource,support [24] people,people [23] learn,more [22] resource,#sdoh [20] health,information [20] #sdoh,toolkit [19] toolkit,serves [19] support,collection Top Word Pairs in Tweet in G2:
[119] starts,listen [119] listen,live [57] healthcare,today [51] #healthit,starts [48] john,lynn [36] colin,hung [32] today,john [32] talking,#healthit [32] health,innovation [32] #hitsm,#hitmc Top Word Pairs in Tweet in G3:
[237] #medtwitter,#bioinformatics [215] dose,regimens [156] line,treatments [128] #medtwitter,#meded [123] ivig,dose [118] guillain,barre [118] syndrome,gbs [118] barre,syndrome [115] apothera,guillain [113] gbs,ivig Top Word Pairs in Tweet in G4:
[60] #healthit,#cybersecurity [58] #infosec,#itsecurity [57] #healthcare,#executive [57] #executive,#news [57] #healthit,headline [57] headline,beckershr [51] #cybersecurity,#infosec [43] #healthcareit,#cybersec [41] #cybersec,#security [40] #digitalhealth,#healthcarebreaches Top Word Pairs in Tweet in G5:
[22] #healthit,#cdwsocial [16] 영양제,추천 [16] #상식,#생활 [16] #건강,#상식 [15] healthcare,industry [12] #interoperability,#datasharing [12] industry,needs [12] easier,org [12] #datasharing,easier [12] learn,more Top Word Pairs in Tweet in G6:
[95] cdcgov,onc_healthit [66] onc_healthit,cdcfound [31] public,health [30] health,data [23] data,systems [22] onc_healthit,cdcgov [21] drjudymonroe,onc_healthit [21] cdcfound,drjudymonroe [21] ushahmd,cdcfound [19] swiftly,collect Top Word Pairs in Tweet in G7:
[71] #healthcareuncomplicated,wearablesexpert [62] #healthtech,#healthit [59] digital,health [59] learn,more [53] remote,patient [52] patient,monitoring [46] #digitalhealth,#ehealth [44] #digitalhealth,#healthit [44] #ehealth,#healthit [44] #healthit,#digitalhealth Top Word Pairs in Tweet in G8:
[110] #ai,#machinelearning [45] #machinelearning,#iot [44] #iot,#ml [38] #machinelearning,#python [28] future,#medicaleducation [28] #medicaleducation,columbiasurgery [28] columbiasurgery,analytics_699 [26] #ml,#flutter [26] analytics_699,#datascience [25] eli_krumova,future Top Word Pairs in Tweet in G9:
[224] #digitalhealth,#healthit [221] #healthit,#healthtech [219] #healthtech,#healthcaretechnology [54] #healthit,#healthcareit [48] #informatics,#technology [48] #healthcareit,#informatics [43] #health,#healthcare [39] medcity,news [30] hit,consultant [29] digital,health Top Word Pairs in Tweet in G10:
[17] health,isac [16] tech,news [16] health,tech [16] today,thanks [16] news,today [15] healthisac,health [15] health,isac's [15] #healthit,#healthcare [9] isac's,daily [8] cyber,headlines Top Replied-To in Entire Graph:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: