The graph represents a network of 4,719 Twitter users whose recent tweets contained "#digitalhealth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 21 November 2022 at 05:01 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 15-minute period from Saturday, 12 November 2022 at 13:37 UTC to Monday, 21 November 2022 at 03:52 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 : 4719
Unique Edges : 8446
Edges With Duplicates : 8151
Total Edges : 16597
Number of Edge Types : 5
Retweet : 5057
MentionsInRetweet : 5413
Mentions : 3519
Replies to : 217
Tweet : 2391
Self-Loops : 2503
Reciprocated Vertex Pair Ratio : 0.0590821964144774
Reciprocated Edge Ratio : 0.111572447567337
Connected Components : 684
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 3081
Maximum Edges in a Connected Component : 14088
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.026067
Graph Density : 0.00042188725760347
Modularity : 0.485062
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 4,719 Twitter users whose recent tweets contained "#digitalhealth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 21 November 2022 at 05:01 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 15-minute period from Saturday, 12 November 2022 at 13:37 UTC to Monday, 21 November 2022 at 03:52 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 : TwitterSearch
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1204] #python,#rstats [1193] #flutter,#javascript [1093] #javascript,#digitalhealth [932] #rstats,#reactjs [872] #blockchain,#ai [851] #ai,#saas [844] #tensorflow,#bigdata [804] #bigdata,#cloud [764] #reactjs,#flutter [752] #analytics,#data Top Word Pairs in Tweet in G1:
[176] digital,health [121] #telehealth,#telemedicine [110] #digitalhealth,#wearables [102] #healthcare,#digitalhealth [87] #ehealth,#mhealth [85] state,#digitalhealth [82] global,state [82] #wearables,series [79] #hlth2022,hlthevent [77] #digitalhealth,#ehealth Top Word Pairs in Tweet in G2:
[1112] #python,#rstats [1102] #flutter,#javascript [1012] #javascript,#digitalhealth [849] #rstats,#reactjs [810] #blockchain,#ai [789] #tensorflow,#bigdata [777] #ai,#saas [753] #bigdata,#cloud [701] #reactjs,#flutter [699] #analytics,#data Top Word Pairs in Tweet in G3:
[49] digital,health [31] learn,more [26] #digital,#digitalhealth [23] #digitalhealth,#healthcare [21] #digitalhealth,#health [21] read,more [16] #socialmedia,#digital [15] #healthcare,#digitalhealth [13] blood,sugar [12] #healthtech,#digitalhealth Top Word Pairs in Tweet in G4:
[399] #digitalhealth,#socialmedia [399] #socialmedia,#digitalmarketing [216] #digitalhealth,#digital [166] #digital,#digitalhealth [152] gt,gt [149] #digital,#health [136] #healthcare,#digitalhealth [126] #ehealth,#healthcare [122] #telehealth,#telemedicine [120] #healthcareit,#ehealth Top Word Pairs in Tweet in G5:
[13] social,care [13] #digitalhealth,#healthtech [11] #digitalhealth,impacts [11] region,starts [11] healthcare,leaders [11] key,sessions [11] highlights,key [11] leaders,region [11] #himss22me,stand [11] appear,#digitalhealth Top Word Pairs in Tweet in G6:
[25] #selfcare,#digitalhealth [25] women,#adolescents [25] services,women [25] emergencies,epidemics [25] co,nr2fekwlvn [25] #hiv,#cervicalcancer [25] nr2fekwlvn,#icfp2022 [25] epidemics,innovations [25] #familyplanning,handbook [25] high,risk Top Word Pairs in Tweet in G7:
[43] #digitalhealth,#healthcare [39] glad,announce [39] speaker,#giant2022 [38] #python,#rstats [38] #flutter,#javascript [36] thebdc,dec [35] #javascript,#digitalhealth [30] #rstats,#reactjs [30] #healthcare,#healthtech [29] #datascience,#digitalhealth Top Word Pairs in Tweet in G8:
[97] #health,records [97] #digitalmarketing,#healthcare [97] #digitalhealth,#digitalmarketing [97] #bharat,#digital [97] #digitalindia,#digitaltransformation [97] personal,#health [97] second,level [97] #digital,#mission [97] #integration,#ayushman [97] #digitaltransformation,#digitalhealth Top Word Pairs in Tweet in G9:
[50] digital,health [29] health,week [13] learn,more [11] partnership,conference [11] nov,14 [11] week,nov [9] advances,#digitalhealth [8] #emr,#digitalhealth [7] platform,address [7] patients,called Top Word Pairs in Tweet in G10:
[20] #digitalhealth,#healthcare [7] #healthit,#digitalhealth [7] health,care [6] #hitsm,#healthit [6] #healthcare,#digitalhealth [6] fall,2022 [6] #t1d,#t2d [6] #medtech,#digitalhealth [5] radiological,health [5] cdrh,setting 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: