The graph represents a network of 2,382 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 Friday, 11 December 2020 at 16:59 UTC.
The requested start date was Tuesday, 08 December 2020 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, 24 November 2020 at 01:05 UTC to Tuesday, 08 December 2020 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 : 2382
Unique Edges : 2522
Edges With Duplicates : 8421
Total Edges : 10943
Number of Edge Types : 5
Mentions : 3198
Retweet : 2551
MentionsInRetweet : 3664
Replies to : 219
Tweet : 1311
Self-Loops : 1366
Reciprocated Vertex Pair Ratio : 0.0560609786083108
Reciprocated Edge Ratio : 0.106169965075669
Connected Components : 294
Single-Vertex Connected Components : 210
Maximum Vertices in a Connected Component : 1854
Maximum Edges in a Connected Component : 10082
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.69629
Graph Density : 0.000757289640101405
Modularity : 0.335834
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,382 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 Friday, 11 December 2020 at 16:59 UTC.
The requested start date was Tuesday, 08 December 2020 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, 24 November 2020 at 01:05 UTC to Tuesday, 08 December 2020 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:
[423] #rstats,#reactjs [377] #iot,#iiot [368] #ai,#rstats [357] #reactjs,#iot [356] #iiot,#linux [322] #ar,#vr [321] #vr,#mr [302] #analytics,#ar [302] #mr,#ux [302] #ux,#ai Top Word Pairs in Tweet in G1:
[62] health,care [62] accelerating,apis [59] apis,healthcare [39] onc_healthit's,accelerating [30] healthcare,#oncapi [28] onc_healthit,#oncapi [27] #oncapi,onc_healthit [24] unified,specification [22] aashimatweets,firdausbhathena [22] national,#healthit Top Word Pairs in Tweet in G2:
[161] hubbucket,#healthit [113] #healthcare,#healthcareit [93] hubbucket,prosumersoft [72] prosumersoft,hubmedx [70] #digitalhealth,#healthit [66] #healthcare,#healthit [64] #artificialintelligence,#ai [59] #healthit,#doctors [51] #healthcareit,#medtwitter [50] #healthit,#healthcareit Top Word Pairs in Tweet in G3:
[403] #rstats,#reactjs [359] #iot,#iiot [351] #ai,#rstats [340] #reactjs,#iot [339] #iiot,#linux [290] #ar,#vr [289] #vr,#mr [288] #analytics,#ar [288] #mr,#ux [288] #ux,#ai Top Word Pairs in Tweet in G4:
[34] #cybersecurity,#healthit [33] #ransomware,attacks [33] attacks,hospitals [33] hospitals,seen [33] seen,uptick [33] uptick,last [33] last,quarter [33] quarter,#healthit [33] #healthit,pros [33] pros,remember Top Word Pairs in Tweet in G5:
[94] starts,listen [94] listen,live [34] healthcare,today [32] #healthit,starts [31] tate,chronicles [30] john,lynn [30] host,jim [30] jim,tate [23] leading,edge [23] edge,#healthit Top Word Pairs in Tweet in G6:
[35] #healthtech,#healthit [31] #vr,#ar [28] #ehealth,#healthit [27] #mixedreality,future [27] future,#surgery [27] #surgery,#healthtech [27] mt,noemibarrazueta [27] noemibarrazueta,#mr [27] #mr,#vr [27] #ar,#ai Top Word Pairs in Tweet in G7:
[16] truly,appreciate [16] appreciate,continued [16] continued,support [14] thank,fedhealthit100 [13] #healthtech,#healthit [12] support,congratulate [9] 2021,#fedhealthit100 [8] click,link [8] #fedhealthit100,awardee [7] congratulate,2021 Top Word Pairs in Tweet in G8:
[18] #ransomware,attacks [18] attacks,hospitals [18] hospitals,seen [18] seen,uptick [18] uptick,last [18] last,quarter [18] quarter,#healthit [18] #healthit,pros [18] pros,remember [15] #ehr,#emr Top Word Pairs in Tweet in G9:
[5] #healthit,teams [4] infrastructure,code [4] #burnout,very [4] very,thing [4] thing,right [4] right,frontline [4] frontline,healthcare [4] healthcare,workers [4] workers,#tech [4] #tech,helps Top Word Pairs in Tweet in G10:
[21] health,isac [18] fall,summit [12] ##hisacsummit,#healthit [9] #healthit,#healthtech [7] isac,hybrid [7] hybrid,fall [6] isac,fall [6] summit,2020 [6] healthisac,health [5] 11,00 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
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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:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: