The graph represents a network of 1,740 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, 10 May 2022 at 18:21 UTC.
The requested start date was Tuesday, 10 May 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, 23-hour, 24-minute period from Tuesday, 26 April 2022 at 00:05 UTC to Monday, 09 May 2022 at 23:30 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 : 1740
Unique Edges : 1827
Edges With Duplicates : 5528
Total Edges : 7355
Number of Edge Types : 5
Mentions : 2031
Retweet : 1591
MentionsInRetweet : 2583
Tweet : 994
Replies to : 156
Self-Loops : 1052
Reciprocated Vertex Pair Ratio : 0.0511660285415942
Reciprocated Edge Ratio : 0.0973509933774834
Connected Components : 186
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 1288
Maximum Edges in a Connected Component : 6577
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.482692
Graph Density : 0.000998063360499164
Modularity : 0.3471
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,740 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, 10 May 2022 at 18:21 UTC.
The requested start date was Tuesday, 10 May 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, 23-hour, 24-minute period from Tuesday, 26 April 2022 at 00:05 UTC to Monday, 09 May 2022 at 23:30 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:
[150] #healthcare,#healthit [124] learn,more [114] #healthit,#digitalhealth [112] #ehealth,#healthit [106] #healthit,#healthcareit [93] #digitalhealth,#ehealth [90] digital,health [89] #ai,#python [86] #cybersecurity,#infosec [86] #healthcareit,#informatics Top Word Pairs in Tweet in G1:
[34] birthday,onc_healthit [27] mickytripathi1,onc_healthit [26] davidbrailer,davidblumenthal [25] onc_healthit,davidbrailer [25] davidblumenthal,farzad_md [24] happy,18th [24] 18th,birthday [22] learn,more [21] healthit_policy,onc_healthit [17] #healthcare,#healthit Top Word Pairs in Tweet in G2:
[110] #ehealth,#healthit [91] #digitalhealth,#ehealth [85] #healthit,#digitalhealth [52] starts,listen [52] listen,live [48] #telemedicine,#healthit [47] #telehealth,#telemedicine [44] digital,health [43] remote,patient [43] patient,monitoring Top Word Pairs in Tweet in G3:
[86] #cybersecurity,#infosec [76] #ai,#python [64] #iot,#ml [62] gave,kred [62] kred,#influence [56] #iot,#iiot [54] #reactjs,#iot [50] #machinelearning,#ai [49] #infosec,#healthit [46] eli_krumova,gave Top Word Pairs in Tweet in G4:
[11] health,tech [10] tech,news [10] news,today [10] today,thanks [9] medical,history [9] learn,more [7] #healthit,#healthcare [7] join,celebrating [7] consolidating,medical [7] history,important Top Word Pairs in Tweet in G5:
[13] learn,more [8] public,health [7] #healthcareit,#healthit [6] onc,turns [6] turns,18 [6] #healthtech,#healthit [6] #healthit,#healthtech [6] #ipeople,#meditech [6] #meditech,#healthcaredata [6] #healthcaredata,#healthcareit Top Word Pairs in Tweet in G6:
[62] see,hospitals [62] hospitals,clinics [62] clinics,switching [62] ehospital,systems [62] systems,having [62] having,telehealth [62] telehealth,charting [62] charting,business [61] adroitinfosys,see [58] switching,adroit Top Word Pairs in Tweet in G7:
[13] rti_intl,researchers [8] experts,during [8] during,event [8] event,share [8] share,ideas [8] ideas,data [7] getting,ready [7] ready,#arm2022 [7] #arm2022,catch [7] catch,rti_intl Top Word Pairs in Tweet in G8:
[26] #healthit,#interoperability [15] #hl7,#fhir [15] #hl7,#wgm [13] stay,connected [13] #interoperability,#hl7fhir [12] advance,interoperability [12] #hl7wgm,#healthit [11] #hl7,#fhirdevdays [9] take,look [9] #fhir,connectathon Top Word Pairs in Tweet in G9:
[11] #twh,#healthit [10] #thisweekhealth,#twh [8] listen,#thisweekhealth [6] top,two [6] two,#ehr [6] #ehr,vendors [6] vendors,market [6] market,share [6] share,growth [6] home,care Top Word Pairs in Tweet in G10:
[11] dod,gov [11] gov,#healthit [11] #healthit,summit [7] deptvetaffairs,chief [7] chief,technology [7] technology,officer [7] officer,charles [7] charles,worthington [7] worthington,shares [7] shares,#va Top Replied-To in Entire Graph:
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Top Replied-To in G4:
Top Replied-To in G7:
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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: