The graph represents a network of 2,858 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, 11 February 2020 at 02:22 UTC.
The requested start date was Tuesday, 11 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 15-hour, 13-minute period from Wednesday, 29 January 2020 at 00:30 UTC to Monday, 10 February 2020 at 15:43 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 : 2858
Unique Edges : 4980
Edges With Duplicates : 4979
Total Edges : 9959
Number of Edge Types : 4
Mentions : 3847
Replies to : 318
Tweet : 1504
MentionsInRetweet : 4290
Self-Loops : 1504
Reciprocated Vertex Pair Ratio : 0.0544654318723638
Reciprocated Edge Ratio : 0.103304347826087
Connected Components : 373
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 2072
Maximum Edges in a Connected Component : 8481
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.496437
Graph Density : 0.000704198960822779
Modularity : 0.470493
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 2,858 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, 11 February 2020 at 02:22 UTC.
The requested start date was Tuesday, 11 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 15-hour, 13-minute period from Wednesday, 29 January 2020 at 00:30 UTC to Monday, 10 February 2020 at 15:43 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:
[296] #healthit,#healthtech [269] #healthit,#healthcareit [154] #healthcare,#healthit [141] #healthtech,#medtech [109] #ehealth,#healthit [109] #medtech,#mhealth [98] starts,listen [98] listen,live [89] #digitalhealth,#healthit [88] #healthit,#medtech Top Word Pairs in Tweet in G1:
[62] health,data [37] hospital,#china [37] #china,installed [37] installed,#5g [37] #5g,infrared [37] infrared,temperature [37] temperature,monitoring [37] monitoring,device [37] device,read [37] read,accurate Top Word Pairs in Tweet in G2:
[171] #healthit,#healthtech [121] #healthtech,#medtech [101] #medtech,#mhealth [83] hubbucket,prosumersoft [64] #artificialintelligence,#ai [61] #iot,evolution [61] evolution,revolution [61] #cybersecurity,#iiot [61] #iiot,#bigdata [61] #bigdata,fisher85m Top Word Pairs in Tweet in G3:
[199] #healthit,#healthcareit [41] stat,plus [40] #healthcareit,stat [39] advancements,#ai [39] #ai,allow [39] allow,enhanced [39] enhanced,precision [39] precision,creating [39] creating,panels [39] panels,actionable Top Word Pairs in Tweet in G4:
[13] #digitalhealth,#healthit [13] #healthit,#digitalhealth [10] #digitalhealth,#healthtech [10] whoa,amazing [10] amazing,upcoming [10] upcoming,episode [10] episode,#podcast [10] #podcast,cliexa [10] cliexa,ceo [10] ceo,click Top Word Pairs in Tweet in G5:
[103] #ehealth,#healthit [72] #digitalhealth,#ehealth [71] #healthit,#healthtech [57] #healthiswealth,#mhealth [51] #mhealth,#health [50] #healthtech,#healthiswealth [48] #health,#healthandwellness [48] #healthandwellness,#telemedicine [48] #telemedicine,#digitalhealth [48] #digitalhealth,#telehealth Top Word Pairs in Tweet in G6:
[97] starts,listen [97] listen,live [31] healthcare,today [28] john,lynn [27] #healthit,starts [25] tate,chronicles [25] host,jim [25] jim,tate [21] colin,hung [21] justin,barnes Top Word Pairs in Tweet in G7:
[17] dr,califf001 [13] bonku,secazar [13] secazar,melindabbuntin [11] speaking,acc [11] acc,#cvsummit [11] #cvsummit,dr [11] califf001,focuses [11] focuses,fourth [11] fourth,digital [11] digital,revolution Top Word Pairs in Tweet in G8:
[11] intersystemsdev,#intersystems [11] #healthit,gt [11] gt,gt [11] preview,releases [11] releases,available [11] available,2020 [11] 2020,version [9] intersystems,healthshare [9] healthshare,health [9] health,connect Top Word Pairs in Tweet in G9:
[10] annual,meeting [8] #interoperability,#healthit [7] #hl7,#fhir [7] first,step [6] cooperative,agreement [6] onc_healthit,annual [6] hl7,registration [6] information,technology [5] hl7,#fhir [5] perfect,first Top Word Pairs in Tweet in G10:
[18] industry,insights [18] update,#austinblockchainhealth [16] insights,program [16] program,update [15] #hit,#healthit [15] early,bird [15] bird,ticket [15] ticket,pricing [15] pricing,austindlthealth [15] austindlthealth,expires Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: