The graph represents a network of 2,318 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, 22 June 2021 at 15:59 UTC.
The requested start date was Tuesday, 22 June 2021 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, 55-minute period from Tuesday, 08 June 2021 at 00:04 UTC to Tuesday, 22 June 2021 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 : 2318
Unique Edges : 2847
Edges With Duplicates : 8981
Total Edges : 11828
Number of Edge Types : 5
Mentions : 2386
Retweet : 2917
MentionsInRetweet : 5009
Tweet : 1312
Replies to : 204
Self-Loops : 1377
Reciprocated Vertex Pair Ratio : 0.0492925604746691
Reciprocated Edge Ratio : 0.0939538929969552
Connected Components : 248
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 1828
Maximum Edges in a Connected Component : 10993
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.47562
Graph Density : 0.000856109865074255
Modularity : 0.316968
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,318 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, 22 June 2021 at 15:59 UTC.
The requested start date was Tuesday, 22 June 2021 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, 55-minute period from Tuesday, 08 June 2021 at 00:04 UTC to Tuesday, 22 June 2021 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:
[599] margaretsiegien,pawlowskimario [416] #ai,#python [414] #python,#rstats [411] #machinelearning,#ai [369] #rstats,#reactjs [369] #reactjs,#iot [362] #futureofwork,#healthtech [345] pawlowskimario,#futureofwork [335] #analytics,#machinelearning [309] #iot,#iiot Top Word Pairs in Tweet in G1:
[598] margaretsiegien,pawlowskimario [407] #ai,#python [405] #python,#rstats [401] #machinelearning,#ai [363] #rstats,#reactjs [363] #reactjs,#iot [361] #futureofwork,#healthtech [344] pawlowskimario,#futureofwork [327] #analytics,#machinelearning [302] #iot,#iiot Top Word Pairs in Tweet in G2:
[93] starts,listen [93] listen,live [40] healthcare,today [32] #healthit,starts [30] john,lynn [30] tate,chronicles [30] host,jim [30] jim,tate [30] #hitsm,#healthit [30] health,interoperability Top Word Pairs in Tweet in G3:
[29] learn,more [18] #healthcare,#healthit [14] #technology,#healthit [14] covid,19 [14] #digitalhealth,#healthit [14] #healthit,#ehr [13] blog,learn [12] join,june [12] june,23rd [12] 23rd,30pm Top Word Pairs in Tweet in G4:
[14] businesses,covered [12] vast,majority [11] vast,vast [10] covered,hipaa [10] majority,businesses [10] under,hipaa [9] hipaa,applies [9] specific,entities [8] applies,specific [7] entities,vast Top Word Pairs in Tweet in G5:
[23] health,information [19] health,care [16] personal,health [12] care,community [11] individuals',personal [8] hmkyale,chrismurphyct [8] chrismurphyct,senblumenthal [8] senblumenthal,rosadelauro [8] rosadelauro,potus [8] potus,vp Top Word Pairs in Tweet in G6:
[11] #healthit,#medtech [10] #ehealth,#healthit [9] people,irregular [9] irregular,heartbeats [9] heartbeats,use [9] use,wearable [9] wearable,devices [9] devices,aren [9] aren,overwhelming [9] overwhelming,doctors Top Word Pairs in Tweet in G7:
[15] try,wsock [15] wsock,embedded [15] embedded,py [15] py,demo [15] demo,make [15] make,use [15] use,simple [15] simple,websocket [15] websocket,client [15] client,embedded Top Word Pairs in Tweet in G8:
[11] #healthit,#medtech [10] #medicalimaging,#hipaa [10] #userauthentication,#healthit [10] #medtech,#saas [10] #saas,#baas [10] #baas,#patientdata [10] #patientdata,#enterprisei [8] national,coordinator [8] health,information [8] hhsgov,publish Top Word Pairs in Tweet in G9:
[16] updated,daily [12] stay,informed [12] informed,connection [11] mihin,velaturapbc [9] daily,stay [9] #healthit,healthitnews [8] velaturapbc,theinteropinst [8] theinteropinst,usqhin [8] things,#healthit [8] #telehealth,more Top Word Pairs in Tweet in G10:
[63] gt,gt [12] gt,#healthit [8] #healthit,#healthcare [7] here's,gt [6] gt,#pophealthit [6] #pophealthit,#healthit [6] #digitalhealth,#healthit [5] #healthit,#digitalhealth [5] best,practices [5] gt,#digitalhealth 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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