The graph represents a network of 1,875 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, 21 June 2022 at 18:22 UTC.
The requested start date was Tuesday, 21 June 2022 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, 21-hour, 57-minute period from Tuesday, 07 June 2022 at 00:51 UTC to Monday, 20 June 2022 at 22:48 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 : 1875
Unique Edges : 1979
Edges With Duplicates : 6452
Total Edges : 8431
Number of Edge Types : 5
MentionsInRetweet : 3044
Mentions : 2425
Retweet : 1737
Replies to : 232
Tweet : 993
Self-Loops : 1086
Reciprocated Vertex Pair Ratio : 0.0410874266295953
Reciprocated Edge Ratio : 0.0789317507418398
Connected Components : 199
Single-Vertex Connected Components : 116
Maximum Vertices in a Connected Component : 1444
Maximum Edges in a Connected Component : 7711
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.413774
Graph Density : 0.00095908929206688
Modularity : 0.339453
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,875 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, 21 June 2022 at 18:22 UTC.
The requested start date was Tuesday, 21 June 2022 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, 21-hour, 57-minute period from Tuesday, 07 June 2022 at 00:51 UTC to Monday, 20 June 2022 at 22:48 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:
[132] #healthcare,#healthit [117] #python,#cloud [117] #analytics,#data [115] #ehealth,#healthit [108] #digitalhealth,#ehealth [97] #healthit,#digitalhealth [96] #cybersecurity,#infosec [91] #technology,#datascience [91] #datascience,#python [91] #cloud,#analytics Top Word Pairs in Tweet in G1:
[43] health,information [26] suddenly,quietly [26] quietly,mysteriously [23] health,care [22] davidblumenthal,oliviaoftroye [22] gregggonsalves,ldebett [21] reasobbob,gregggonsalves [21] learn,more [19] oliviaoftroye,onc_healthit [19] onc_healthit,davidbrailer Top Word Pairs in Tweet in G2:
[92] #ehealth,#healthit [84] #digitalhealth,#ehealth [64] #healthit,#digitalhealth [62] #digitalhealth,#wearables [62] #wearables,series [50] #telehealth,#healthit [50] remote,patient [49] patient,monitoring [40] #telemed,#hipaa [37] #cybersecurity,#infosec Top Word Pairs in Tweet in G3:
[100] #python,#cloud [100] #analytics,#data [78] #technology,#datascience [78] #datascience,#python [78] #cloud,#analytics [78] #data,#blockchain [78] #blockchain,#flutter [64] gave,kred [64] kred,#influence [62] #healthit,#healthcareit Top Word Pairs in Tweet in G4:
[54] starts,listen [54] listen,live [36] #healthcare,#healthit [36] healthcare,today [35] #ecohealth,#ehealth [35] #ehealth,#digitalhealth [35] #digitalhealth,#hit [35] #digitalhealth,#ecohealth [33] hcnowradio,#biopharma [33] #biopharma,#digitalhealth Top Word Pairs in Tweet in G5:
[10] #healthtech,#healthit [9] learn,more [8] medical,deserts [8] deserts,create [8] create,shortage [8] shortage,care [8] care,both [8] both,rural [8] rural,urban [8] urban,areas Top Word Pairs in Tweet in G6:
[58] #cybersecurity,#infosec [30] #infosec,#healthit [28] ransomware,attack [25] data,million [25] million,patients [25] patients,stolen [25] stolen,largest [25] largest,healthcare [25] healthcare,breach [25] breach,far Top Word Pairs in Tweet in G7:
[18] innovation,lifeblood [18] lifeblood,future [18] future,remain [18] remain,vibrant [18] vibrant,vital [18] vital,terry [18] terry,ragon [18] ragon,ceo [18] ceo,founder [17] evankirstel,innovation Top Word Pairs in Tweet in G8:
[12] #twh,#healthit [9] #thisweekhealth,#twh [7] #keynote,episode [6] listen,#thisweekhealth [6] remember,revolutionary [6] revolutionary,#keynote [6] episode,drnadinehh [6] drnadinehh,founder [6] founder,proximiear [6] proximiear,shared Top Word Pairs in Tweet in G9:
[11] researchers,#mit [11] #mit,created [11] created,totally [11] totally,#new [11] #new,kind [11] kind,#fiber [11] #fiber,#collect [11] #collect,#store [11] #store,#analyze [11] #analyze,#data Top Word Pairs in Tweet in G10:
[35] fedhealthit,innovation [33] 2022,fedhealthit [18] innovation,awards [18] innovation,award [17] breaking,deptvetaffairs [17] deptvetaffairs,won [17] won,2022 [17] award,innovation [17] innovation,leadership [17] leadership,employing Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: