The graph represents a network of 1,916 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, 07 September 2021 at 16:59 UTC.
The requested start date was Tuesday, 07 September 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, 56-minute period from Tuesday, 24 August 2021 at 00:03 UTC to Tuesday, 07 September 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 : 1916
Unique Edges : 2001
Edges With Duplicates : 5568
Total Edges : 7569
Number of Edge Types : 5
Retweet : 1640
MentionsInRetweet : 2662
Mentions : 1914
Tweet : 1228
Replies to : 125
Self-Loops : 1270
Reciprocated Vertex Pair Ratio : 0.051492292554936
Reciprocated Edge Ratio : 0.0979413599500936
Connected Components : 259
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 1417
Maximum Edges in a Connected Component : 6605
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.698522
Graph Density : 0.000873774235924495
Modularity : 0.360874
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,916 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, 07 September 2021 at 16:59 UTC.
The requested start date was Tuesday, 07 September 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, 56-minute period from Tuesday, 24 August 2021 at 00:03 UTC to Tuesday, 07 September 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:
[203] #rstats,#reactjs [176] #digitalhealth,#healthit [172] #healthcare,#healthcareit [170] #reactjs,#iot [132] #python,#rstats [129] #healthit,#healthcareit [126] deep,learning [123] #ai,#machinelearning [122] #iot,#iiot [120] #healthcare,#healthit Top Word Pairs in Tweet in G1:
[190] #rstats,#reactjs [159] #reactjs,#iot [125] #python,#rstats [113] #ai,#machinelearning [112] #machinelearning,#python [111] deep,learning [111] learning,imaging [111] imaging,detecting [111] detecting,microorganisms [111] microorganisms,#analytics Top Word Pairs in Tweet in G2:
[93] starts,listen [93] listen,live [37] healthcare,today [31] #healthit,starts [30] john,lynn [30] tate,chronicles [30] host,jim [30] jim,tate [28] mickytripathi1,onc_healthit [27] community,roundtable Top Word Pairs in Tweet in G3:
[171] #healthcare,#healthcareit [127] #digitalhealth,#healthit [115] #healthcareit,#medtwitter [113] #simplifyingselection,#healthcare [111] #medtwitter,#digitalhealth [108] #healthit,#doctors [75] #healthcare,#healthit [74] #doctors,#digitalhealth [48] #ehealth,#healthit [47] #digitalhealth,#wearables Top Word Pairs in Tweet in G4:
[72] #healthit,#healthcareit [64] #healthcareit,#informatics [64] #informatics,#technology [28] #ai,scientist [28] scientist,used [28] used,#deeplearning [28] #deeplearning,predict [28] predict,human [28] human,psychological [28] psychological,subjective Top Word Pairs in Tweet in G5:
[17] prior,authorization [14] electronic,prior [12] distinguished,lecture [11] #fastpath,#healthit [8] focus,area [8] founder,director [8] director,scrippsrti [8] scrippsrti,erictopol [8] deep,learning [7] patient,care Top Word Pairs in Tweet in G6:
[13] #digitalhealth,#healthit [11] #healthit,#digitalhealth [9] fortinet,troy [9] troy,ament [9] ament,explains [6] #healthit,#healthtech [6] frost_sullivan,#healthit [5] medical,futurist [5] #healthcare,organization [5] explains,#healthit Top Word Pairs in Tweet in G7:
[19] healthbjk,onc_healthit [10] health,information [8] travishealthifx,healthbjk [7] framework,approach [7] hies,know [7] onc_healthit,directtrustorg [7] learn,more [6] onc_healthit,shieclive [6] reasobbob,healthbjk [6] healthit_policy,rei Top Word Pairs in Tweet in G8:
[11] today's,connect [11] connect,health [11] health,edition [11] edition,thanks [10] #healthit,#healthcare [8] learn,more [8] #healthit,#hit [8] #digitalhealth,#healthit [5] image,exchange [4] #emr,#ehr Top Word Pairs in Tweet in G9:
[29] #rdee,#radiologex [29] #medtech,#saas [29] #saas,#baas [28] #healthit,#medtech [28] #baas,#patientdata [28] #patientdata,#enterprisei [27] #medicalimaging,#hipaa [27] #userauthentication,#healthit [26] #radiologex,#medicalimaging [23] #hipaa,#userauthentication Top Word Pairs in Tweet in G10:
[13] 2021,mihin [10] mihin,top [10] top,updates [9] #healthit,connection [9] connection,august [7] updates,himss [4] ransomware,attacks [4] daily,scroll [4] connection,september [3] today,kicks 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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