The graph represents a network of 2,887 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 December 2022 at 23:18 UTC.
The requested start date was Friday, 16 December 2022 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 3-day, 17-hour, 30-minute period from Monday, 12 December 2022 at 07:30 UTC to Friday, 16 December 2022 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 : 2887
Unique Edges : 2948
Edges With Duplicates : 13426
Total Edges : 16374
Number of Edge Types : 5
MentionsInRetweet : 5990
Mentions : 4186
Retweet : 4672
Tweet : 1387
Replies to : 139
Self-Loops : 2214
Reciprocated Vertex Pair Ratio : 0.0549405494054941
Reciprocated Edge Ratio : 0.104158569762923
Connected Components : 173
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 2500
Maximum Edges in a Connected Component : 15792
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.331328
Graph Density : 0.000617627566016897
Modularity : 0.252073
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,887 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 December 2022 at 23:18 UTC.
The requested start date was Friday, 16 December 2022 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 3-day, 17-hour, 30-minute period from Monday, 12 December 2022 at 07:30 UTC to Friday, 16 December 2022 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 : digitalhealth
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:
[1991] #healthtech,#smartcity [1990] #csuite,#digitalhealth [1989] #digitalhealth,#web3 [1988] #web3,#cx [1987] #cx,#ehealth [1987] #datascientist,#csuite [1985] #smartcity,#datascientist [1980] #ehealth,#finserv [1960] #finserv,#cloud [1218] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1548] #datascientist,#csuite [1548] #healthtech,#smartcity [1548] #web3,#cx [1548] #digitalhealth,#web3 [1548] #csuite,#digitalhealth [1547] #cx,#ehealth [1546] #smartcity,#datascientist [1543] #ehealth,#finserv [1530] #finserv,#cloud [786] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[378] #healthtech,#smartcity [377] #csuite,#digitalhealth [375] #cx,#ehealth [375] #web3,#cx [374] #digitalhealth,#web3 [374] #smartcity,#datascientist [374] #datascientist,#csuite [372] #ehealth,#finserv [369] chidambara09,#healthtech [367] #finserv,#cloud Top Word Pairs in Tweet in G3:
[44] #healthcare,#digitalhealth [42] digital,health [39] #telehealth,#telemedicine [38] #healthcareit,#ehealth [37] #digitalhealth,#wearables [37] #ehealth,#healthcare [36] #health,#healthcareit [32] #wearables,series [31] series,wearablesexpert [27] #ehealth,#mhealth Top Word Pairs in Tweet in G4:
[144] #digitalhealth,#socialmedia [95] #machinelearning,#ai [95] #ai,#python [94] #python,#rstats [91] #5g,#machinelearning [91] #analytics,#5g [90] gt,gt [74] #rstats,#rectajs [72] #socialmedia,#digitalmarketing [71] #iot,#nlp Top Word Pairs in Tweet in G5:
[19] full,story [14] digital,health [10] decision,support [10] clinical,decision [8] exclusively,digital [8] health,news [8] co,founder [8] speaks,exclusively [8] virtual,ward [8] founder,ceo Top Word Pairs in Tweet in G6:
[19] digital,health [11] #medtwitter,#meded [11] #medpub,#medtwitter [11] #meded,#mednews [10] launches,medical [10] palo,alto [10] alto,launches [9] medical,iot [8] iot,cybersecurity [8] cybersecurity,protection Top Word Pairs in Tweet in G7:
[27] digital,health [13] universal,health [13] health,coverage [12] #digitalhealth,true [12] #uhc,tomorrow [12] tomorrow,digital [12] game,changer [12] true,game [12] changer,road [12] coverage,#uhc Top Word Pairs in Tweet in G8:
[39] #healthcare,#digitalhealth [32] #ehealth,#healthcare [31] #healthcareit,#ehealth [30] #health,#healthcareit [23] #hospital,#clinics [23] #doctors,#hospital [20] #ehr,#emr [20] #emr,#health [19] #clinics,#ehr [15] goeljasper,ritters90 Top Word Pairs in Tweet in G9:
[12] sensitive,health [12] companies,using [12] ouch,dozens [12] sent,sensitive [12] dozens,#telehealth [12] information,big [12] big,tech [12] health,information [12] using,tracking [12] tracking,tools Top Word Pairs in Tweet in G10:
[3] wendyburn,healthyopinion [3] suhanaah,asifmbachlani [3] rcpsych,ayesharahimccio [3] asifmbachlani,rcpsych [3] rafiahb,wendyburn [3] rcpsychdpsig,suhanaah [3] ayesharahimccio,rafiahb [3] nsft_ccio,rcpsychdpsig [3] subodhdave1,nsft_ccio [2] ncicnhs,monday 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: