The graph represents a network of 2,488 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 Saturday, 21 August 2021 at 17:01 UTC.
The requested start date was Tuesday, 17 August 2021 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, 43-minute period from Tuesday, 03 August 2021 at 00:16 UTC to Tuesday, 17 August 2021 at 00:00 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 : 2488
Unique Edges : 2789
Edges With Duplicates : 7420
Total Edges : 10209
Number of Edge Types : 5
Retweet : 2286
MentionsInRetweet : 3623
Mentions : 2627
Replies to : 180
Tweet : 1493
Self-Loops : 1596
Reciprocated Vertex Pair Ratio : 0.0469735919607385
Reciprocated Edge Ratio : 0.0897321428571429
Connected Components : 270
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 1907
Maximum Edges in a Connected Component : 9277
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.493623
Graph Density : 0.0007240221499062
Modularity : 0.365388
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,488 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 Saturday, 21 August 2021 at 17:01 UTC.
The requested start date was Tuesday, 17 August 2021 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, 43-minute period from Tuesday, 03 August 2021 at 00:16 UTC to Tuesday, 17 August 2021 at 00:00 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:
[244] #healthcare,#healthit [235] #rstats,#reactjs [168] #iot,#iiot [159] #digitalhealth,#healthit [153] #machinelearning,#ai [152] #reactjs,#iot [149] #ai,#python [149] #python,#rstats [148] #healthit,#healthcareit [143] #healthcare,#healthcareit Top Word Pairs in Tweet in G1:
[33] #healthcare,#healthit [21] dermhag,onc_healthit [20] national,coordinator [17] onc_healthit,hhs_health [16] onc_healthit,mickytripathi1 [16] public,health [16] health,information [16] learn,more [16] hhs_health,oigathhs [16] oigathhs,somedocs Top Word Pairs in Tweet in G2:
[121] #digitalhealth,#healthit [96] #healthcare,#healthcareit [95] starts,listen [95] listen,live [95] #healthit,#doctors [95] #simplifyingselection,#healthcare [94] #healthcareit,#medtwitter [92] #medtwitter,#digitalhealth [54] #digitalhealth,#wearables [54] #wearables,series Top Word Pairs in Tweet in G3:
[84] gt,gt [60] #healthit,#healthtech [45] #healthtech,#digitalhealth [44] #digitalhealth,#medtech [40] connection,august [40] 2021,mihin [37] #medtech,#mhealth [35] top,updates [33] hubbucket,hubdevops [33] hubdevops,hubdataops Top Word Pairs in Tweet in G4:
[89] #healthcare,#healthit [83] ways,#ai [83] #ai,transforming [83] transforming,#healthcare [83] #healthcare,wef [83] wef,valaafshar [83] valaafshar,pawlowskimario [83] pawlowskimario,#himss21 [83] #himss21,#healthtech [83] #healthtech,#ml Top Word Pairs in Tweet in G5:
[20] learn,ways [20] ways,digital [20] digital,therapeutics [20] therapeutics,#dtx [20] #dtx,#healthit [20] #healthit,enabling [20] enabling,countless [20] countless,people [20] people,receive [20] receive,effective Top Word Pairs in Tweet in G6:
[60] #cybersecurity,#healthit [30] identity,#accessmanagement [25] conference,vegas [25] see,find [25] find,#netiq [25] #netiq,identity [25] #healthit,#cyberresilience [25] #cyberresilience,himss [23] #himss21,healthcare [23] healthcare,conference Top Word Pairs in Tweet in G7:
[36] #himss21,alert [31] innovaccer,#himss21 [31] health,cloud [27] alert,gt [27] gt,beats [27] beats,cage [27] cage,keys [27] keys,accelerating [27] accelerating,innovation [27] innovation,one Top Word Pairs in Tweet in G8:
[202] #rstats,#reactjs [133] #iot,#iiot [131] #machinelearning,#ai [129] #reactjs,#iot [126] #ai,#python [126] #python,#rstats [111] #analytics,#machinelearning [73] #ai,#rstats [71] #analytics,#bigdata [71] #bigdata,#ai Top Word Pairs in Tweet in G9:
[10] #hitsm,#healthit [6] #digitalhealth,#healthtech [3] great,collaboration [3] collaboration,between [3] between,dedalusuki [3] dedalusuki,awscloud [3] awscloud,nhsuk [3] nhsuk,migrating [3] migrating,being [3] being,achieve Top Word Pairs in Tweet in G10:
[11] let's,really [11] really,dig [11] dig,calls [11] calls,action [11] action,one [11] one,think [11] think,deeply [11] deeply,ehr [11] ehr,version [11] version,look 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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