The graph represents a network of 2,497 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, 04 August 2020 at 17:02 UTC.
The requested start date was Tuesday, 04 August 2020 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, 33-minute period from Tuesday, 21 July 2020 at 00:25 UTC to Monday, 03 August 2020 at 23:58 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 : 2497
Unique Edges : 2411
Edges With Duplicates : 6373
Total Edges : 8784
Number of Edge Types : 5
Replies to : 93
Mentions : 2225
Tweet : 1428
Retweet : 1958
MentionsInRetweet : 3080
Self-Loops : 1522
Reciprocated Vertex Pair Ratio : 0.0463629096722622
Reciprocated Edge Ratio : 0.0886172650878533
Connected Components : 341
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 1806
Maximum Edges in a Connected Component : 7563
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.946507
Graph Density : 0.000630083022704168
Modularity : 0.399093
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,497 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, 04 August 2020 at 17:02 UTC.
The requested start date was Tuesday, 04 August 2020 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, 33-minute period from Tuesday, 21 July 2020 at 00:25 UTC to Monday, 03 August 2020 at 23:58 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:
[261] #ehealth,#healthit [249] covid,19 [226] #healthit,#healthtech [202] #healthcare,#healthtech [192] #healthcare,#healthit [188] #healthtech,#ehealth [174] tube,free [174] free,#ai [174] #ai,enabled [174] enabled,intelligent Top Word Pairs in Tweet in G1:
[169] #healthcare,#healthtech [168] tube,free [168] free,#ai [168] #ai,enabled [168] enabled,intelligent [168] intelligent,stethoscope [168] stethoscope,#healthcare [168] #healthtech,#ehealth [168] #ehealth,#healthit [168] #healthit,#industry40 Top Word Pairs in Tweet in G2:
[95] starts,listen [95] listen,live [54] #digitalhealth,#healthit [53] covid,19 [52] #healthcare,#healthcareit [50] read,more [47] #healthcareit,#medtwitter [47] #medtwitter,#digitalhealth [47] #healthit,#doctors [45] gt,gt Top Word Pairs in Tweet in G3:
[22] learn,more [21] joint,onc [21] onc,nih [21] nih,blog [21] blog,leveraging [21] leveraging,standardized [21] standardized,clinical [21] clinical,data [21] data,advance [21] advance,discovery Top Word Pairs in Tweet in G4:
[52] covid,19 [35] #healthit,#healthtech [33] virtual,care [33] #healthtech,#virtualcare [32] #covid19,#healthit [30] during,covid [29] 19,#covid19 [29] #virtualcare,#modernhealthcare [29] #modernhealthcare,#idc [28] very,excited Top Word Pairs in Tweet in G5:
[129] #healthit,#healthtech [113] hubbucket,prosumersoft [112] #healthtech,#medtech [90] #medtech,#mhealth [83] hubbucket,#healthit [62] #artificialintelligence,#ai [42] prosumersoft,#healthit [41] #mhealth,#medicalimaging [41] #covid19,#coronavirus [32] hubprojects,hubaccess Top Word Pairs in Tweet in G6:
[44] ready,walmart [44] walmart,offer [44] offer,ray [44] ray,diagnostic [44] diagnostic,imaging [44] imaging,labs [44] labs,full [44] full,service [44] service,primary [44] primary,urgent Top Word Pairs in Tweet in G7:
[75] #healthcare,#healthit [72] #healthit,#healthcareit [71] #healthcareit,#informatics [71] #informatics,#news [56] covid,19 [33] #digitalhealth,#ehealth [33] #ehealth,#healthit [31] #healthit,#medtech [29] #medtech,#healthtech [25] #informatics,#healthcare Top Word Pairs in Tweet in G8:
[35] #healthit,interoperability [34] came,fabulous [34] fabulous,#healthit [34] interoperability,joke [34] joke,know [34] know,interested [34] interested,fax [33] reasobbob,came [9] #healthit,#interoperability [7] theroctor_md,lisadbudzinski Top Word Pairs in Tweet in G9:
[9] #healthtech,#healthit [7] #healthit,#digitalhealth [5] 'ai,reset [5] reset,round [5] round,table' [5] #insidersseries2020,join [5] signify,research's [5] #digitalhealth,#medicalimaging [4] #goodreads,best [4] best,relationships Top Word Pairs in Tweet in G10:
[10] throughout,#covid19 [10] save,date [8] #uk,#nhs [8] #nhs,#client [7] allscripts,allscripts [7] good,luck [7] #virtual,allscriptsuk [7] allscriptsuk,#client [7] #client,#experience [7] sessions,glance 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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Top Tweeters in G10: