The graph represents a network of 7,131 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 Friday, 14 February 2020 at 18:17 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 20-minute period from Wednesday, 05 February 2020 at 11:45 UTC to Friday, 14 February 2020 at 17:06 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 : 7131
Unique Edges : 14624
Edges With Duplicates : 6397
Total Edges : 21021
Number of Edge Types : 5
Retweet : 2622
MentionsInRetweet : 10655
Mentions : 4574
Tweet : 2956
Replies to : 214
Self-Loops : 3032
Reciprocated Vertex Pair Ratio : 0.0201952654808078
Reciprocated Edge Ratio : 0.0395909805977976
Connected Components : 849
Single-Vertex Connected Components : 466
Maximum Vertices in a Connected Component : 5305
Maximum Edges in a Connected Component : 18682
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.606482
Graph Density : 0.000300054893367029
Modularity : 0.605453
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7,131 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 Friday, 14 February 2020 at 18:17 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 20-minute period from Wednesday, 05 February 2020 at 11:45 UTC to Friday, 14 February 2020 at 17:06 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[760] gt,gt [696] digital,health [581] #digitalhealth,#healthtech [554] #healthcare,#digitalhealth [395] #healthtech,#digitalhealth [328] gt,#digitalhealth [289] #digitalhealth,#mhealth [272] #digitalhealth,#socialmedia [269] #socialmedia,#digitalmarketing [262] #ehealth,#digitalhealth Top Word Pairs in Tweet in G1:
[641] gt,gt [358] #healthcare,#digitalhealth [309] gt,#digitalhealth [262] #digitalhealth,#socialmedia [260] #socialmedia,#digitalmarketing [239] #digitalhealth,#mhealth [238] #ehealth,#healthcare [229] #digitalhealth,kelly_archives [228] #healthcareit,#ehealth [226] kelly_archives,#hcsmeufr Top Word Pairs in Tweet in G2:
[90] read,full [81] full,story [75] digital,health [39] #digitalhealth,#healthtech [36] #digitalhealth,#nhs [35] health,unplugged [31] matthew,gould [30] nhsx,chief [30] #healthtech,#digitalhealth [28] chief,matthew Top Word Pairs in Tweet in G3:
[69] #digitalhealth,innovations [52] digital,health [35] #health,#healthcare [33] perception,#digitalhealth [33] offered,#health [33] #health,solutions [33] solutions,find [32] potential,#digitalhealth [32] shape,future [31] future,#health Top Word Pairs in Tweet in G4:
[45] digital,health [43] #healthtech,#digitalhealth [27] #entrepreneur,#startup [23] going,mobile [23] mobile,fda [23] fda,clears [23] clears,hyperfiner [23] hyperfiner,bedside [23] bedside,#mri [23] #mri,scanner Top Word Pairs in Tweet in G5:
[93] #digitalhealth,#healthtech [82] gt,gt [31] digital,health [24] #ai,#digitalhealth [23] #ar,#ai [23] #ai,microscope [23] microscope,helps [23] helps,detect [23] detect,cancer [23] cancer,gt Top Word Pairs in Tweet in G6:
[47] missed,#ces [47] #ces,panel [47] panel,future [47] future,#wearables [47] #wearables,ecology [47] ecology,december_labs [47] december_labs,apolloneuro [47] apolloneuro,fret [47] fret,fresh [47] fresh,#ces2020 Top Word Pairs in Tweet in G7:
[39] #artificialintelligence,#ai [37] #ai,#digitalhealth [33] #aihealth,#artificialintelligence [21] #aiinhealthcare,#ai [21] #digitalhealth,#healthcaresolutions [21] #healthcaresolutions,#healthcaretechnology [21] #healthcaretechnology,#healthdata [21] #healthdata,#healthinnovation [20] #healthinnovation,#healthtechnology [18] health,care Top Word Pairs in Tweet in G8:
[22] digital,health [19] #who,#2019ncov [19] #2019ncov,#digitalhealth [19] #digitalhealth,#digitalpolicy [19] #digitalpolicy,#askwho [15] #coronavirus,crisis [12] investment,review [12] review,tool [11] member,states [11] crisis,digital Top Word Pairs in Tweet in G9:
[63] anxiety,depression [59] looking,#postdoc [59] #postdoc,accepting [59] accepting,applicants [59] applicants,2020 [59] 2020,slot [59] slot,nida [59] nida,#t32 [59] #t32,within [59] within,center Top Word Pairs in Tweet in G10:
[24] #nurses,#midwives [21] free,webinar [20] #digitalhealth,#ehealth [20] 10,feb [18] digital,health [17] #ehealth,digitalhealthn [16] professional,development [15] #midwives,join [15] join,free [15] monday,10 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: