The graph represents a network of 3,126 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, 09 December 2022 at 23:18 UTC.
The requested start date was Friday, 09 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, 11-hour, 58-minute period from Monday, 05 December 2022 at 13:02 UTC to Friday, 09 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 : 3126
Unique Edges : 3298
Edges With Duplicates : 12997
Total Edges : 16295
Number of Edge Types : 5
Retweet : 4686
MentionsInRetweet : 6579
Mentions : 3441
Tweet : 1479
Replies to : 110
Self-Loops : 2131
Reciprocated Vertex Pair Ratio : 0.0616853313750688
Reciprocated Edge Ratio : 0.116202662977693
Connected Components : 206
Single-Vertex Connected Components : 105
Maximum Vertices in a Connected Component : 2586
Maximum Edges in a Connected Component : 15463
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.367453
Graph Density : 0.000591989763275752
Modularity : 0.291637
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,126 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, 09 December 2022 at 23:18 UTC.
The requested start date was Friday, 09 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, 11-hour, 58-minute period from Monday, 05 December 2022 at 13:02 UTC to Friday, 09 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:
[1515] #csuite,#digitalhealth [1512] #datascientist,#csuite [1512] #digitalhealth,#web3 [1510] #healthtech,#smartcity [1507] #smartcity,#datascientist [1507] #cx,#ehealth [1505] #web3,#cx [1502] #ehealth,#finserv [1493] #finserv,#cloud [906] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1211] #datascientist,#csuite [1211] #digitalhealth,#web3 [1211] #csuite,#digitalhealth [1209] #healthtech,#smartcity [1208] #smartcity,#datascientist [1206] #cx,#ehealth [1206] #web3,#cx [1203] #ehealth,#finserv [1199] #finserv,#cloud [614] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[302] #bigdata,#analytics [300] #csuite,#digitalhealth [297] #cx,#ehealth [297] #healthtech,#smartcity [297] #digitalhealth,#web3 [297] #datascientist,#csuite [295] #ehealth,#finserv [295] #smartcity,#datascientist [295] #web3,#cx [293] #datascience,#iot Top Word Pairs in Tweet in G3:
[68] #digitalhealth,#healthcare [41] #healthcare,#healthtech [30] #healthtech,#innovation [26] #giant2022,#digitalhealth [25] show,#giant2022 [19] hospital,show [19] future,hospital [17] giant,health [16] short,interview [16] giant_health,check Top Word Pairs in Tweet in G4:
[11] digital,health [8] #digital,#digitalhealth [7] #meded,#mednews [7] learn,more [7] #medtwitter,#meded [7] #medpub,#medtwitter [5] #digitalhealth,#healthtech [5] #healthcare,#digitalhealth [5] read,more [4] public,health Top Word Pairs in Tweet in G5:
[23] full,story [13] digital,healthcare [8] work,#humanrights [8] #humanrightsday,10 [8] december,build [8] build,sharing [8] 10,december [8] sharing,work [8] #humanrights,principles [8] principles,#digitalhealth Top Word Pairs in Tweet in G6:
[17] #digitalhealth,systems [16] week,role [16] achieving,#uhc [16] role,#digitalhealth [16] missed,discuss [16] #uhcday,next [16] next,week [16] systems,achieving [16] #uhc,missed [14] thank,dr Top Word Pairs in Tweet in G7:
[12] telehealth,rural [12] transform,cardiac [12] reactive,proactive [12] proactive,data [12] rural,areas [12] provides,dose [12] innovation,attbusiness [12] attbusiness,#attinfluencer [12] areas,provides [12] dose,innovation Top Word Pairs in Tweet in G8:
[31] digital,health [18] health,150 [11] top,150 [11] promising,digital [11] health,companies [10] promising,#digitalhealth [10] 150,promising [9] named,cbinsights [9] 150,list [9] cbinsights,list Top Word Pairs in Tweet in G9:
[27] #healthcareit,#ehealth [27] #healthcare,#digitalhealth [27] #ehealth,#healthcare [26] #health,#healthcareit [13] #simplifyingselection,#healthcare [13] #healthcare,#healthcareit [13] #emrfinder,#simplifyingselection [11] #healthcareit,#digitalhealth [9] digital,health [9] #clinics,#health Top Word Pairs in Tweet in G10:
[35] recognisable,companies [35] dgh,digipharm [35] digipharm,works [35] healthcare,companies [35] companies,such [35] works,worlds [35] companies,healthcare [35] worlds,biggest [35] company,dgh [35] biggest,recognisable 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: