The graph represents a network of 4,448 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, 19 November 2021 at 23:42 UTC.
The requested start date was Friday, 19 November 2021 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 5-day, 0-hour, 11-minute period from Sunday, 14 November 2021 at 00:49 UTC to Friday, 19 November 2021 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 : 4448
Unique Edges : 4701
Edges With Duplicates : 12214
Total Edges : 16915
Number of Edge Types : 5
Tweet : 1842
Mentions : 3145
Retweet : 4518
MentionsInRetweet : 7272
Replies to : 138
Self-Loops : 1978
Reciprocated Vertex Pair Ratio : 0.0597159012549993
Reciprocated Edge Ratio : 0.112701717855284
Connected Components : 544
Single-Vertex Connected Components : 244
Maximum Vertices in a Connected Component : 3069
Maximum Edges in a Connected Component : 14748
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.346804
Graph Density : 0.000388468177560493
Modularity : 0.391004
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,448 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, 19 November 2021 at 23:42 UTC.
The requested start date was Friday, 19 November 2021 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 5-day, 0-hour, 11-minute period from Sunday, 14 November 2021 at 00:49 UTC to Friday, 19 November 2021 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:
[617] digital,health [349] #digitalhealth,#socialmedia [201] #healthcare,#digitalhealth [191] #socialmedia,#digitalmarketing [186] #digitalhealth,#digital [179] #digital,#health [165] #analytics,#bigdata [161] #digitalhealth,#health [148] #giant2021,30 [144] #digital,#digitalhealth Top Word Pairs in Tweet in G1:
[130] digital,health [127] #healthcare,#digitalhealth [116] #healthcareit,#ehealth [114] #ehealth,#healthcare [110] #health,#healthcareit [58] gil_bashe,greggmastersmph [52] greggmastersmph,talk [50] #digitalhealth,#wearables [50] #digitalhealth,#ehealth [46] #digitalhealth,#socialmedia Top Word Pairs in Tweet in G2:
[299] #digitalhealth,#socialmedia [174] #socialmedia,#digitalmarketing [160] #analytics,#bigdata [152] #digitalhealth,#digital [150] #digital,#health [122] #digital,#digitalhealth [106] #digitalhealth,#health [105] #digitalhealth,#startups [97] digital,health [96] #startups,#analytics Top Word Pairs in Tweet in G3:
[147] #giant2021,30 [120] 30,nov [117] nov,dec [96] giant_health,announcing [70] dec,speaking [54] digital,health [50] join,face [48] 2021,speaking [48] face,face [48] buy,ticket Top Word Pairs in Tweet in G4:
[27] digital,health [16] learn,more [9] covid,19 [8] #digitalhealth,#healthcare [8] #healthcare,#digitalhealth [7] #digitalhealth,#healthtech [7] more,#digitalhealth [7] patient,care [6] improve,health [6] #healthtech,#digitalhealth Top Word Pairs in Tweet in G5:
[113] brilliant,women [111] women,digital [107] 2021,brilliant [103] digital,health [85] health,award [84] telstrahealth,2021 [83] award,recipients [73] alongside,more [71] very,proud [70] one,telstrahealth Top Word Pairs in Tweet in G6:
[29] full,story [16] specialist,docobouk [12] patient,monitoring [12] monitoring,specialist [11] graphnethealth,acquired [11] acquired,remote [11] remote,patient [11] docobouk,full [11] help,nhs [10] big,news Top Word Pairs in Tweet in G7:
[14] #healthcarepodcast,#healthcare [14] #healthcare,#podcast [14] #podcast,#digitalhealth [12] #himss21,#healthcareinnovation [11] clinicians,agree [11] agree,#digitalhealth [11] #digitalhealth,tools [11] tools,stay [11] stay,show [11] show,potential Top Word Pairs in Tweet in G8:
[8] digital,health [7] #hitsm,#digitalhealth [7] risk,care [7] care,models [7] models,talk [7] talk,#hlth21 [7] #hlth21,caught [7] caught,vida [7] vida,ceo [7] ceo,stilenius Top Word Pairs in Tweet in G9:
[66] nanox,introduce [66] introduce,nanox [66] nanox,arc [66] arc,procedures [66] procedures,highlight [66] highlight,software [66] software,solutions [66] solutions,2021 [66] 2021,radiology [65] nanox_vision,nanox Top Word Pairs in Tweet in G10:
[27] apply,today [20] #devjobs,apply [19] #digitalhealth,#devjobs [18] #digitalhealth,#healthtech [17] #healthtech,#innovation [17] #innovation,#healthcaredelivery [16] #pharmaceuticals,#pharmamanufacture [16] #pharmamanufacture,#healthcare [15] #vaccines,#pharmaceuticals [13] #healthcare,#healthregulatory 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: