The graph represents a network of 5,369 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, 13 November 2020 at 23:53 UTC.
The requested start date was Friday, 13 November 2020 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, 22-hour, 30-minute period from Saturday, 07 November 2020 at 02:30 UTC to Friday, 13 November 2020 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 : 5369
Unique Edges : 5369
Edges With Duplicates : 11026
Total Edges : 16395
Number of Edge Types : 5
Tweet : 2178
Mentions : 3917
Replies to : 171
Retweet : 3964
MentionsInRetweet : 6165
Self-Loops : 2315
Reciprocated Vertex Pair Ratio : 0.0574653002983526
Reciprocated Edge Ratio : 0.108684985279686
Connected Components : 790
Single-Vertex Connected Components : 423
Maximum Vertices in a Connected Component : 3689
Maximum Edges in a Connected Component : 13843
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.322781
Graph Density : 0.000282851352592947
Modularity : 0.434701
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,369 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, 13 November 2020 at 23:53 UTC.
The requested start date was Friday, 13 November 2020 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, 22-hour, 30-minute period from Saturday, 07 November 2020 at 02:30 UTC to Friday, 13 November 2020 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:
[446] digital,health [431] gt,gt [337] read,more [315] #digitalhealth,#healthcare [308] covid,19 [262] more,#cure [251] #cure,#digitalhealth [229] #healthcare,#infographic [229] #infographic,#iot [228] #medtech,#telemedicine Top Word Pairs in Tweet in G1:
[297] gt,gt [255] read,more [248] more,#cure [244] #digitalhealth,#healthcare [242] #cure,#digitalhealth [229] #healthcare,#infographic [229] #infographic,#iot [227] #iot,#medicaltechnology [227] #medicaltechnology,#medicine [227] #medicine,#medtech Top Word Pairs in Tweet in G2:
[50] #healthcare,#digitalhealth [44] digital,health [26] covid,19 [24] #digitalhealth,#healthit [22] #digitalhealth,#healthcare [22] #lyfebulb,#healthcare [20] #digital,#digitalhealth [19] #telehealth,#digitalhealth [18] #medtwitter,#digitalhealth [18] #ehr,#emr Top Word Pairs in Tweet in G3:
[29] digital,health [23] full,story [23] icymi,gt [22] read,full [22] healthcare,#digitalhealth [21] harlow,healthcare [21] #digitalhealth,#hcldr [20] #hcldr,#hitsm [18] nhs,foundation [18] foundation,trust Top Word Pairs in Tweet in G4:
[61] gt,gt [45] digital,health [43] #healthcareit,#ehealth [42] #health,#healthcareit [39] #ehealth,#healthcare [37] #digitalhealth,#mhealth [37] #healthcare,#digitalhealth [33] covid,19 [31] #digitalhealth,#ehealth [31] #doctors,#hospital Top Word Pairs in Tweet in G5:
[46] digital,health [45] gt,gt [29] #dayonebasel,baselarea [29] baselarea,innosuisse [23] #digitalhealth,#mhealth [21] #innovation,#digitalhealth [20] #healthcare,#innovation [19] innosuisse,arcondis [19] arcondis,#healthcare [17] health,systems Top Word Pairs in Tweet in G6:
[55] health,event [39] #giant2020,health [36] digital,health [30] virtual,#digitalhealth [23] #digitalhealth,forum [22] agents,change [22] gianthealthevnt,meet [21] forum,agents [21] one,speakers [21] speakers,#giant2020 Top Word Pairs in Tweet in G7:
[32] flagship,accelerator [29] accelerator,programme [27] 20,smes [27] 2020,21 [24] latest,20 [23] selected,flagship [21] dhealthldn,#dhlaccelerator [20] delighted,announce [20] #dhlaccelerator,companies [20] companies,announced Top Word Pairs in Tweet in G8:
[18] diversity,#digitalhealth [18] #digitalhealth,report [18] digital,health [17] #diversity,#digitalhealth [15] excited,partner [15] partner,rock_health [15] rock_health,first [15] first,#diversity [14] drivorhorn,excited [12] data,driven Top Word Pairs in Tweet in G9:
[12] rund,#digitalhealth [12] passend,schwerpunkt [12] schwerpunkt,heft [12] heft,dieser [12] dieser,artikel [12] artikel,#startups [12] #startups,#ki [12] #ki,kleinen [12] kleinen,auswahl [12] auswahl,#digitalhealth Top Word Pairs in Tweet in G10:
[25] #digitalmarketing,#bigdata [25] #bigdata,#startups [17] template,#digitalmarketing [16] #startups,#startup [12] presentation,template [11] #digitalart,#contentmarketing [10] #contentmarketing,#marketing [10] #datascience,#ai [10] #ai,#5g [9] sprite4it,50 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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