The graph represents a network of 2,257 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, 25 August 2020 at 17:03 UTC.
The requested start date was Tuesday, 25 August 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 11-day, 11-hour, 6-minute period from Tuesday, 11 August 2020 at 00:10 UTC to Saturday, 22 August 2020 at 11:17 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 : 2257
Unique Edges : 2321
Edges With Duplicates : 8945
Total Edges : 11266
Number of Edge Types : 5
MentionsInRetweet : 3789
Mentions : 3467
Retweet : 2668
Tweet : 1202
Replies to : 140
Self-Loops : 1512
Reciprocated Vertex Pair Ratio : 0.0466810577441986
Reciprocated Edge Ratio : 0.0891982469708688
Connected Components : 237
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 1717
Maximum Edges in a Connected Component : 10228
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.788059
Graph Density : 0.000761814308204263
Modularity : 0.302825
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,257 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, 25 August 2020 at 17:03 UTC.
The requested start date was Tuesday, 25 August 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 11-day, 11-hour, 6-minute period from Tuesday, 11 August 2020 at 00:10 UTC to Saturday, 22 August 2020 at 11:17 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:
[449] hubbucket,#healthit [333] #healthit,#healthtech [212] hubbucket,prosumersoft [198] #healthit,#medtech [192] #digitalhealth,#healthit [191] covid,19 [186] #healthcare,#healthit [180] #covid19,#coronavirus [153] #healthit,#healthcareit [145] prosumersoft,hubmedx Top Word Pairs in Tweet in G1:
[411] hubbucket,#healthit [253] #healthit,#healthtech [206] hubbucket,prosumersoft [167] #covid19,#coronavirus [144] prosumersoft,hubmedx [142] #artificialintelligence,#ai [129] #healthit,#medtech [126] #medtech,#mhealth [120] #digitalhealth,#healthit [107] #healthtech,#medtech Top Word Pairs in Tweet in G2:
[43] funding,opportunity [41] public,health [37] health,information [31] learn,more [30] health,agencies [23] tech,forum [22] onc_healthit,recently [22] onc_healthit's,#onctechforum [21] opportunity,strengthening [21] strengthening,technical Top Word Pairs in Tweet in G3:
[79] #healthtech,#healthit [46] margaretsiegien,scientists [46] scientists,#switzerland [46] #switzerland,developed [46] developed,#spinal [46] #spinal,#implant [46] #implant,enables [46] enables,people [46] people,previously [46] previously,considered Top Word Pairs in Tweet in G4:
[88] starts,listen [88] listen,live [43] #simplifyingselection,#healthcare [37] #healthcare,#healthcareit [34] healthcare,today [33] #healthcareit,#medtwitter [33] #medtwitter,#digitalhealth [33] #digitalhealth,#healthit [33] #healthit,#doctors [30] john,lynn Top Word Pairs in Tweet in G5:
[18] covid,19 [17] #healthtech,#healthit [15] #healthcare,#healthtech [12] #covid19,#healthit [12] #healthit,#interoperability [10] #healthcare,#healthit [9] #icymi,covid [9] 19,forced [9] forced,providers [9] providers,innovate Top Word Pairs in Tweet in G6:
[12] #healthit,#hitsm [11] #hitsm,#digitalhealth [11] #healthit,leaders [9] healthcare,#healthit [9] #digitalhealth,#mhealth [7] ways,mhealth [7] mhealth,interoperability [7] interoperability,benefits [7] benefits,healthcare [7] launched,podcast Top Word Pairs in Tweet in G7:
[28] amiainformatics,hl7 [28] teaming,amia [28] amia,hl7 [28] hl7,fhir [25] hl7,again [25] again,teaming [25] fhir,#applications [25] #applications,#competition [25] #competition,#amia2020 [22] titusschleyer,amiainformatics Top Word Pairs in Tweet in G8:
[46] #vaccineinjury,rare [46] rare,rarely [46] rarely,reported [46] reported,harvard [46] harvard,#study [46] #study,million [46] million,doses [46] doses,45 [46] 45,different [46] different,#vaccines Top Word Pairs in Tweet in G9:
[17] forget,wearables [17] wearables,forget [17] forget,bulky [17] bulky,sensors [17] sensors,#healthit [17] #healthit,means [17] means,eventually [17] eventually,doctors [17] doctors,track [17] track,health Top Word Pairs in Tweet in G10:
[72] #healthcare,#healthit [68] #healthit,#healthcareit [66] #healthcareit,#informatics [66] #informatics,#news [25] covid,19 [22] #rdee,#radiologex [21] #informatics,#healthcare [21] #healthcare,#healthcareit [21] #healthcareit,#technology [21] #technology,#healthit 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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