The graph represents a network of 2,122 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, 05 October 2021 at 17:01 UTC.
The requested start date was Tuesday, 05 October 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, 0-minute period from Tuesday, 21 September 2021 at 01:00 UTC to Tuesday, 05 October 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 : 2122
Unique Edges : 2743
Edges With Duplicates : 8084
Total Edges : 10827
Number of Edge Types : 5
Retweet : 1864
MentionsInRetweet : 3357
Mentions : 3915
Replies to : 298
Tweet : 1393
Self-Loops : 1421
Reciprocated Vertex Pair Ratio : 0.0710293432696786
Reciprocated Edge Ratio : 0.132637529897804
Connected Components : 226
Single-Vertex Connected Components : 140
Maximum Vertices in a Connected Component : 1708
Maximum Edges in a Connected Component : 10065
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.379289
Graph Density : 0.00102182697063297
Modularity : 0.335791
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,122 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, 05 October 2021 at 17:01 UTC.
The requested start date was Tuesday, 05 October 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, 0-minute period from Tuesday, 21 September 2021 at 01:00 UTC to Tuesday, 05 October 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:
[207] #digitalhealth,#healthit [200] #healthcare,#healthcareit [175] #simplifyingselection,#healthcare [152] #rstats,#reactjs [152] #reactjs,#iot [147] #healthcareit,#medtwitter [138] #medtwitter,#digitalhealth [138] #healthit,#doctors [126] #iot,#iiot [121] #python,#rstats Top Word Pairs in Tweet in G1:
[151] #rstats,#reactjs [151] #reactjs,#iot [126] #iot,#iiot [120] #python,#rstats [110] #healthit,#healthcareit [109] #machinelearning,#ai [109] #ai,#python [100] #healthcareit,#informatics [88] #healthtech,#healthit [88] #analytics,#machinelearning Top Word Pairs in Tweet in G2:
[111] healthit_policy,coherencemed [111] coherencemed,gracecordovano [99] gracecordovano,lisabari [92] lisabari,savagelucia [87] savagelucia,savagemehealth [84] savagemehealth,amalec [78] policy2progress,cmd418 [67] amalec,policy2progress [62] janoldenburg,cascadia [59] jhoronjeff,rryanhowells Top Word Pairs in Tweet in G3:
[36] public,health [19] american,rescue [19] rescue,plan [17] information,sharing [16] workforce,development [16] onc_healthit,announced [14] development,program [14] health,workforce [13] learn,more [13] 10,awardees Top Word Pairs in Tweet in G4:
[136] #simplifyingselection,#healthcare [111] #healthcare,#healthcareit [96] #healthcareit,#medtwitter [94] #medtwitter,#digitalhealth [94] #digitalhealth,#healthit [93] #healthit,#doctors [92] starts,listen [92] listen,live [90] #doctors,#digitalhealth [61] #emrsystems,#simplifyingselection Top Word Pairs in Tweet in G5:
[26] #healthit,#healthcare [25] clinical,trials [24] dermatology,clinical [18] learn,more [18] #healthcare,#healthtech [17] #digitalhealth,#healthit [17] learn,#healthit [17] #desacc,#data [17] #data,#healthdata [17] #healthtech,#medicalimaging Top Word Pairs in Tweet in G6:
[25] #rdee,#radiologex [25] #healthit,#medtech [25] #medtech,#saas [25] #saas,#baas [24] #radiologex,#medicalimaging [24] #hipaa,#userauthentication [24] #userauthentication,#healthit [24] #baas,#patientdata [24] #patientdata,#enterprisei [19] #medicalimaging,#hipaa Top Word Pairs in Tweet in G7:
[44] #healthcareit,#medtwitter [42] #healthcare,#healthcareit [41] #healthit,#doctors [41] #doctors,#telehealth [39] #medtwitter,#digitalhealth [39] #digitalhealth,#healthit [38] #simplifyingselection,#healthcare [37] #telehealth,#publichealth [33] #softwarefinder,#simplifyingselection [27] #publichealth,#ehr Top Word Pairs in Tweet in G8:
[38] #cybersecurity,#healthit [33] health,isac [17] health,care [10] healthisac,health [9] uncharted,savings [9] members,register [9] register,99 [9] 99,attend [8] isac,members [8] last,chance Top Word Pairs in Tweet in G9:
[11] meditech's,2021 [10] #healthit,#ehr [8] southern,ohio [8] ohio,medical [8] medical,center [8] apple's,health [8] health,data [8] data,sharing [8] sharing,feature [8] feature,live Top Word Pairs in Tweet in G10:
[47] #digitalhealth,#ehealth [45] #ehealth,#healthit [21] #healthit,#digitalhealth [21] 5th,7th [20] digital,health [19] healthcare,industry [18] 7th,october [18] brilliant,healthcare [18] sessions,vmwarehit [16] #healthit,#healthtech 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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