The graph represents a network of 2,395 Twitter users whose tweets in the requested range contained "HealthIT", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 01 September 2020 at 17:02 UTC.
The requested start date was Tuesday, 01 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 19-minute period from Tuesday, 18 August 2020 at 00:40 UTC to Tuesday, 01 September 2020 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 2395
Unique Edges : 2662
Edges With Duplicates : 8448
Total Edges : 11110
Number of Edge Types : 5
Mentions : 3268
Tweet : 1362
Retweet : 2439
MentionsInRetweet : 3912
Replies to : 129
Self-Loops : 1589
Reciprocated Vertex Pair Ratio : 0.0469862363550071
Reciprocated Edge Ratio : 0.0897552130553037
Connected Components : 270
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 1841
Maximum Edges in a Connected Component : 10135
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.545973
Graph Density : 0.000769495066825031
Modularity : 0.34664
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,395 Twitter users whose tweets in the requested range contained "HealthIT", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 01 September 2020 at 17:02 UTC.
The requested start date was Tuesday, 01 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 19-minute period from Tuesday, 18 August 2020 at 00:40 UTC to Tuesday, 01 September 2020 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[298] #healthit,#healthtech [211] #healthtech,#healthit [195] hubbucket,#healthit [161] #healthcare,#healthit [158] covid,19 [157] hubbucket,prosumersoft [157] #digitalhealth,#healthit [155] #healthit,#medtech [152] #healthit,#healthcareit [149] #covid19,#coronavirus Top Word Pairs in Tweet in G1:
[207] #healthit,#healthtech [177] hubbucket,#healthit [154] hubbucket,prosumersoft [130] #covid19,#coronavirus [118] #medtech,#mhealth [105] #artificialintelligence,#ai [103] prosumersoft,hubmedx [96] #healthtech,#digitalhealth [91] #digitalhealth,#healthit [86] #healthit,#medtech Top Word Pairs in Tweet in G2:
[115] #mixedreality,future [115] future,#surgery [115] #surgery,#healthtech [115] #healthtech,mt [115] mt,noemibarrazueta [115] noemibarrazueta,#mr [115] #mr,#vr [115] #vr,#ar [115] #ar,#ai [115] #ai,#ml Top Word Pairs in Tweet in G3:
[99] amia,hl7 [99] hl7,fhir [98] amiainformatics,hl7 [96] teaming,amia [92] fhir,#applications [92] #applications,#competition [92] #competition,#amia2020 [90] hl7,again [90] again,teaming [89] titusschleyer,amiainformatics Top Word Pairs in Tweet in G4:
[98] starts,listen [98] listen,live [40] #simplifyingselection,#healthcare [36] healthcare,today [34] #healthit,starts [34] #healthcare,#healthcareit [33] tate,chronicles [33] host,jim [33] jim,tate [31] john,lynn Top Word Pairs in Tweet in G5:
[23] #healthtech,#healthit [21] #healthcare,#healthtech [14] covid,19 [13] #hospital,#clinic [12] #patient,#engagement [12] #engagement,#healthcare [12] #healthcare,#health [12] #ehr,#pandemic [12] #medicare,#healthit [11] learn,more Top Word Pairs in Tweet in G6:
[23] programming,contest [16] stanfordhealth,epicsystems [16] epicsystems,onc_healthit [13] intersystems,iris [13] savagelucia,stanfordhealth [11] #fhir,programming [10] online,programming [10] #digitalhealth,#healthit [10] #healthit,infrastructure [9] #covid19,global Top Word Pairs in Tweet in G7:
[56] #healthtech,#healthit [42] #healthcare,#healthtech [27] cc,evankirstel [25] #healthit,evankirstel [23] internet,medical [23] medical,things [23] things,technology [23] technology,#iot [23] #iot,#internetofthings [23] #internetofthings,#healthcare Top Word Pairs in Tweet in G8:
[90] #ehealth,#healthit [64] #digitalhealth,#ehealth [59] #healthit,#medtech [34] #healthit,#digitalhealth [34] #medtech,#healthtech [25] #rdee,#radiologex [25] #healthit,#healthtech [23] #medicalimaging,#hipaa [23] #hipaa,#userauthentication [23] #userauthentication,#healthit Top Word Pairs in Tweet in G9:
[126] #healthit,#healthcareit [122] #healthcareit,#informatics [61] #informatics,#technology [61] #healthcare,#healthit [60] #informatics,#news [51] covid,19 [35] #informatics,#healthcare [34] #healthcare,#healthcareit [32] #healthcareit,#technology [32] #technology,#healthit Top Word Pairs in Tweet in G10:
[8] eventually,doctors [8] doctors,track [8] track,health [8] #homehealth,organizations [8] organizations,still [8] still,mixed [8] mixed,bag [8] bag,comes [8] comes,technology [8] technology,use Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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