The graph represents a network of 2,769 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, 02 March 2021 at 16:59 UTC.
The requested start date was Tuesday, 02 March 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, 40-minute period from Tuesday, 16 February 2021 at 01:19 UTC to Tuesday, 02 March 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 : 2769
Unique Edges : 3286
Edges With Duplicates : 9547
Total Edges : 12833
Number of Edge Types : 5
Mentions : 3458
Tweet : 1284
Retweet : 3114
MentionsInRetweet : 4820
Replies to : 157
Self-Loops : 1413
Reciprocated Vertex Pair Ratio : 0.0529457065845206
Reciprocated Edge Ratio : 0.100566831230572
Connected Components : 245
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 2351
Maximum Edges in a Connected Component : 12191
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.199565
Graph Density : 0.000713540916463655
Modularity : 0.334666
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,769 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, 02 March 2021 at 16:59 UTC.
The requested start date was Tuesday, 02 March 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, 40-minute period from Tuesday, 16 February 2021 at 01:19 UTC to Tuesday, 02 March 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:
[509] #rstats,#reactjs [491] #iot,#iiot [417] #healthtech,#healthit [365] #machinelearning,#ai [306] #analytics,#machinelearning [292] #ai,#python [292] #python,#rstats [269] #reactjs,#iot [258] #iiot,#bigdata [257] #ml,#nlp Top Word Pairs in Tweet in G1:
[503] #rstats,#reactjs [484] #iot,#iiot [366] #healthtech,#healthit [353] #machinelearning,#ai [301] #analytics,#machinelearning [288] #ai,#python [288] #python,#rstats [265] #reactjs,#iot [254] #ml,#nlp [254] #iiot,#bigdata Top Word Pairs in Tweet in G2:
[38] healthit_policy,onc_healthit [28] health,information [27] learn,more [26] information,blocking [25] onc_healthit,hiring [24] hiring,supervisory [24] supervisory,branch [24] branch,chief [24] chief,focus [24] focus,terminology Top Word Pairs in Tweet in G3:
[41] #futuremedicine,#technology [22] #medtech,#healthit [21] #digitalhealth,#medtech [19] #healthtech,#medicine [18] #healthcare,#healthtech [18] #technology,# [18] myskiwalexander,#healthcare [16] #telemedicine,#digitalhealth [16] #healthcare,using [16] using,#bigdata Top Word Pairs in Tweet in G4:
[116] #healthcare,#healthcareit [94] starts,listen [94] listen,live [93] #healthit,#doctors [84] #digitalhealth,#healthit [72] #healthcare,#healthit [70] #medtwitter,#digitalhealth [65] #healthcareit,#medtwitter [64] #ehr,#emr [55] #healthit,#healthcareit Top Word Pairs in Tweet in G5:
[11] learn,more [9] #digitalhealth,#healthit [9] #dubai,#sbs [8] learn,#healthit [8] more,#blog [7] learn,ways [7] ways,digital [7] digital,therapeutics [7] therapeutics,#dtx [7] #dtx,#healthit Top Word Pairs in Tweet in G6:
[77] #healthit,#healthcareit [76] #healthcareit,#informatics [75] #informatics,#technology [25] #healthit,#medtech [21] covid,19 [12] #healthit,#healthtech [11] #rdee,#radiologex [11] #radiologex,#medicalimaging [11] #medicalimaging,#hipaa [11] #userauthentication,#healthit Top Word Pairs in Tweet in G7:
[21] ali,parsa [20] #mhealth,#healthit [19] #digitalhealth,#wearables [19] #wearables,series [15] #healthcare,#healthtech [15] #healthtech,#healthit [13] parsa,babylonhealth [13] remembering,winners [13] winners,#hitmcawards [13] #hitmcawards,2020 Top Word Pairs in Tweet in G8:
[29] #rdee,#radiologex [28] #radiologex,#medicalimaging [28] #medicalimaging,#hipaa [28] #userauthentication,#healthit [28] #healthit,#medtech [28] #medtech,#saas [28] #saas,#baas [28] #baas,#patientdata [28] #patientdata,#enterprisei [22] #enterprisei,#getrdee Top Word Pairs in Tweet in G9:
[8] less,less [5] great,insights [5] tomorrow,noon [4] one,thing [4] thing,we've [4] we've,learned [4] learned,covid [4] covid,rapidly [4] rapidly,mutating [4] mutating,variants Top Word Pairs in Tweet in G10:
[11] #healthtech,#healthit [9] learn,more [7] #healthit,#integratedhealthcare [7] #healthit,#healthtech [6] meditech,launches [6] launches,telemetry [6] telemetry,appropriateness [6] appropriateness,toolkit [6] toolkit,#expanse [6] #expanse,#telemetry 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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