The graph represents a network of 1,675 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, 30 November 2021 at 17:58 UTC.
The requested start date was Tuesday, 30 November 2021 at 01:01 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, 54-minute period from Tuesday, 16 November 2021 at 01:05 UTC to Tuesday, 30 November 2021 at 01:00 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 : 1675
Unique Edges : 1611
Edges With Duplicates : 5455
Total Edges : 7066
Number of Edge Types : 5
Retweet : 1650
MentionsInRetweet : 2377
Tweet : 1133
Mentions : 1808
Replies to : 98
Self-Loops : 1226
Reciprocated Vertex Pair Ratio : 0.0408006158583526
Reciprocated Edge Ratio : 0.0784023668639053
Connected Components : 226
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 1274
Maximum Edges in a Connected Component : 6424
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.841986
Graph Density : 0.000964353857950391
Modularity : 0.337359
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,675 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, 30 November 2021 at 17:58 UTC.
The requested start date was Tuesday, 30 November 2021 at 01:01 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, 54-minute period from Tuesday, 16 November 2021 at 01:05 UTC to Tuesday, 30 November 2021 at 01:00 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:
[219] #digitalhealth,#healthit [150] learn,more [135] #iot,#iiot [131] digital,health [94] starts,listen [94] listen,live [93] #rstats,#reactjs [92] #healthcare,#healthit [88] #healthit,#digitalhealth [88] #healthit,#medtech Top Word Pairs in Tweet in G1:
[122] #iot,#iiot [81] #rstats,#reactjs [76] #ehealth,#healthit [73] #reactjs,#iot [66] gave,kred [66] kred,#influence [65] #machinelearning,#ai [62] #healthcare,#healthcareit [58] digital,health [58] #ai,#python Top Word Pairs in Tweet in G2:
[29] information,sharing [25] mickytripathi1,onc_healthit [23] onc_healthit,hhsocr [22] healthbjk,mickytripathi1 [21] healthit_policy,onc_healthit [19] cures,act [19] onc_healthit,team [19] team,shared [19] shared,uscdi [19] uscdi,vs Top Word Pairs in Tweet in G3:
[25] ransomware,attacks [25] attacks,blame [25] blame,nearly [25] nearly,50 [25] 50,healthcare [25] healthcare,data [25] data,breaches [25] breaches,time [25] time,service [25] service,delivery Top Word Pairs in Tweet in G4:
[93] #digitalhealth,#healthit [65] #hospitals,#clinics [52] #medtech,#mhealth [51] #healthit,#healthtech [50] hubbucket,hubdevops [50] hubdevops,hubdataops [48] #cybersecurity,#dataprivacy [46] 21st,century [43] #healthtech,#medtech [40] #healthcare,#hospitals Top Word Pairs in Tweet in G5:
[93] starts,listen [93] listen,live [34] healthcare,today [30] john,lynn [30] tate,chronicles [30] host,jim [30] jim,tate [29] #healthit,starts [23] colin,hung [22] leading,edge Top Word Pairs in Tweet in G6:
[52] #healthit,#healthcareit [51] #healthcareit,#informatics [51] #informatics,#technology [14] #hl7,#fhir [11] #healthit,#healthcare [11] health,tech [11] tech,news [11] news,today [11] today,thanks [10] digital,health Top Word Pairs in Tweet in G7:
[11] digital,transformation [8] home,care [8] #healthit,#digitalhealth [7] #mhealth,#healthcare [7] #healthcare,#healthtech [7] #ehealth,#ai [7] #ai,#health [7] #health,#healthit [7] healthcare,orgs [5] raises,25m Top Word Pairs in Tweet in G8:
[15] melissamcpheete,jessiet1023 [14] jessiet1023,annesales4 [13] consortiumforis,melissamcpheete [13] 11,29 [12] join,consortiumforis [12] annesales4,dr [12] dr,david [12] david,clark [11] 29,1pm [9] rti_intl,rti_healthit Top Word Pairs in Tweet in G9:
[4] health,data [4] booth,7711 [3] healthcare,organizations [3] better,patient [3] patient,care [3] #rsna21,day [3] morning,guys [2] online,meetup [2] meetup,suite [2] suite,perspective Top Word Pairs in Tweet in G10:
[14] #healthtech,#healthit [12] #healthit,#avataverse [11] #virtualreality,make [11] make,older [11] older,adults [11] adults,happier [11] happier,healthier [11] healthier,#healthcare [11] #healthcare,#healthtech [11] #avataverse,#healthcare Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: