The graph represents a network of 2,615 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, 23 February 2021 at 17:00 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 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, 53-minute period from Tuesday, 09 February 2021 at 01:06 UTC to Tuesday, 23 February 2021 at 01:00 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 : 2615
Unique Edges : 2977
Edges With Duplicates : 9128
Total Edges : 12105
Number of Edge Types : 5
Retweet : 3113
MentionsInRetweet : 4413
Tweet : 1340
Mentions : 3054
Replies to : 185
Self-Loops : 1455
Reciprocated Vertex Pair Ratio : 0.0582940420060009
Reciprocated Edge Ratio : 0.110166059133252
Connected Components : 266
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 2131
Maximum Edges in a Connected Component : 11345
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.292229
Graph Density : 0.000722393465981822
Modularity : 0.332422
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,615 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, 23 February 2021 at 17:00 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 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, 53-minute period from Tuesday, 09 February 2021 at 01:06 UTC to Tuesday, 23 February 2021 at 01:00 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:
[427] #ml,#nlp [427] #iot,#iiot [389] #rstats,#reactjs [317] #healthtech,#healthit [281] #reactjs,#ml [267] death,risk [265] predict,death [239] #ai,#ml [230] #futureofwork,#ai [219] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[410] #ml,#nlp [410] #iot,#iiot [379] #rstats,#reactjs [273] #reactjs,#ml [260] death,risk [260] #healthtech,#healthit [259] predict,death [224] #futureofwork,#ai [218] #ai,#ml [204] #ai,#machinelearning Top Word Pairs in Tweet in G2:
[35] learn,more [34] #hdpalooza,#nhpc21 [32] information,blocking [21] join,onc_healthit [21] health,information [20] onc_healthit,recently [20] steven,posnack [20] posnack,healthit_policy [18] mickytripathi1,onc_healthit [16] interoperability,standards Top Word Pairs in Tweet in G3:
[95] starts,listen [95] listen,live [41] #healthit,#doctors [35] tate,chronicles [33] #digitalhealth,#healthit [32] healthcare,today [32] #healthit,starts [32] #simplifyingselection,#healthcare [30] john,lynn [30] host,jim Top Word Pairs in Tweet in G4:
[39] #futuremedicine,#technology [23] #digitalhealth,#medtech [23] #medtech,#healthit [22] #technology,#healthtech [19] #telemedicine,#digitalhealth [18] #data,#futuremedicine [17] #healthtech,#medicine [17] #technology,# [16] #healthcare,#healthtech [15] #healthcare,using Top Word Pairs in Tweet in G5:
[23] #ai,identification [23] identification,objects [23] objects,radiological [23] radiological,images [23] images,#ml [23] #ml,more [23] more,high [23] high,level [23] level,analysis [23] analysis,lung Top Word Pairs in Tweet in G6:
[91] #ehr,#emr [70] #healthcare,#healthcareit [69] #digitalhealth,#healthit [68] #healthcareit,#medtwitter [68] #medtwitter,#digitalhealth [64] #healthit,#doctors [62] #doctors,#telehealth [59] #telehealth,#publichealth [57] #publichealth,#ehr [28] emr,software Top Word Pairs in Tweet in G7:
[30] #healthcare,#healthit [27] #mhealth,#healthit [27] #digitalhealth,#wearables [27] #wearables,series [25] #healthtech,#healthit [24] #ehealth,#healthit [23] #healthit,#medtech [22] #healthit,#digitalhealth [21] #healthit,#healthtech [19] #healthit,#nhs Top Word Pairs in Tweet in G8:
[31] #rdee,#radiologex [28] #radiologex,#medicalimaging [28] #medicalimaging,#hipaa [26] #userauthentication,#healthit [26] #healthit,#medtech [26] #medtech,#saas [26] #saas,#baas [26] #baas,#patientdata [26] #patientdata,#enterprisei [20] #enterprisei,#getrdee Top Word Pairs in Tweet in G9:
[9] latest,blog [9] blog,#patientexperience [9] #patientexperience,process [9] process,improvement [9] improvement,tweak [9] tweak,make [9] make,world [9] world,difference [9] difference,weary [8] stacy_hurt,latest Top Word Pairs in Tweet in G10:
[8] less,less [5] great,insights [4] join,noon [4] everyone,together [4] together,gaps [4] gaps,become [4] become,less [4] less,impact [4] impact,great [4] still,time Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: