The graph represents a network of 2,532 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 March 2021 at 16:03 UTC.
The requested start date was Tuesday, 30 March 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, 58-minute period from Tuesday, 16 March 2021 at 00:01 UTC to Tuesday, 30 March 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 : 2532
Unique Edges : 2868
Edges With Duplicates : 7694
Total Edges : 10562
Number of Edge Types : 5
Tweet : 1605
Mentions : 2625
Retweet : 2274
MentionsInRetweet : 3945
Replies to : 113
Self-Loops : 1749
Reciprocated Vertex Pair Ratio : 0.0449930779880018
Reciprocated Edge Ratio : 0.0861117244424818
Connected Components : 266
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 2026
Maximum Edges in a Connected Component : 9490
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.549864
Graph Density : 0.00070671852285998
Modularity : 0.364555
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,532 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 March 2021 at 16:03 UTC.
The requested start date was Tuesday, 30 March 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, 58-minute period from Tuesday, 16 March 2021 at 00:01 UTC to Tuesday, 30 March 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:
[269] margaretsiegien,pawlowskimario [258] #rstats,#reactjs [197] #digitalhealth,#healthit [169] covid,19 [166] #iot,#iiot [153] cloud,managed [148] #healthit,#doctors [137] #ar,#vr [135] #healthcare,#healthcareit [132] #healthcare,#healthit Top Word Pairs in Tweet in G1:
[94] starts,listen [94] listen,live [87] annual,meeting [47] learn,more [40] #onc2021,annual [33] onc_healthit,annual [32] #healthit,starts [31] healthcare,today [30] john,lynn [30] tate,chronicles Top Word Pairs in Tweet in G2:
[264] margaretsiegien,pawlowskimario [251] #rstats,#reactjs [163] #iot,#iiot [126] #ar,#vr [123] #vr,#mr [117] #analytics,#ar [116] #serverless,#flutter [116] #ai,#rstats [115] #reactjs,#iot [112] #linux,#serverless Top Word Pairs in Tweet in G3:
[36] #healthtech,#medicine [36] #medtech,#healthit [32] #healthcare,#healthtech [29] #digitalhealth,#medtech [16] #medicine,#telemedicine [16] #telemedicine,#digitalhealth [16] #cmio,perspective [15] #informatics,#clinicalinformatics [14] #cnio,#healthit [12] untangling,workflows Top Word Pairs in Tweet in G4:
[70] cloud,managed [48] covid,19 [46] managed,networking [45] #healthit,#cloudcomputing [43] #healthit,system [26] healthcare,retail [26] retail,industries [26] industries,require [26] require,more [26] more,processing Top Word Pairs in Tweet in G5:
[72] cloud,managed [59] managed,networking [47] #healthit,system [37] #healthit,#cloudcomputing [34] convincing,reasons [34] reasons,#healthit [34] system,switch [34] switch,cloud [31] #iot,evolution [31] evolution,revolution Top Word Pairs in Tweet in G6:
[96] gt,gt [27] gt,#healthit [16] #healthtech,#healthit [15] #healthit,#digitalhealth [11] covid,19 [10] #healthit,#healthtech [10] blog,gt [10] learn,more [8] #healthit,#medtech [8] health,pittsburgh Top Word Pairs in Tweet in G7:
[43] digital,health [43] health,wearables [43] wearables,series [32] episode,digital [26] series,brilliant [26] brilliant,insights [21] zgjr,immersive [21] immersive,tech [21] tech,#ai [20] #digitalhealth,#wearables Top Word Pairs in Tweet in G8:
[127] #healthit,#doctors [122] #digitalhealth,#healthit [91] #healthcare,#healthcareit [87] #healthit,#hcsmca [86] #medtwitter,#digitalhealth [85] #simplifyingselection,#healthcare [84] #hcsmca,#telehealth [73] #healthcareit,#medtwitter [65] #doctors,#telehealth [65] #telehealth,#publichealth Top Word Pairs in Tweet in G9:
[9] more,one [6] see,more [6] one,doctor [6] health,analytics [6] analytics,startup [6] startup,komodo [6] komodo,passes [6] passes,3b [6] 3b,valuation [6] valuation,reports Top Word Pairs in Tweet in G10:
[21] health,technology [21] technology,built [21] built,equity [21] equity,big [21] big,problem [21] problem,trying [21] trying,#covid19 [21] #covid19,vaccine [20] futuredocs,health [20] vaccine,bi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: