The graph represents a network of 5,147 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, 12 February 2021 at 23:49 UTC.
The requested start date was Friday, 12 February 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 6-day, 5-hour, 31-minute period from Friday, 05 February 2021 at 19:28 UTC to Friday, 12 February 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 : 5147
Unique Edges : 5143
Edges With Duplicates : 11478
Total Edges : 16621
Number of Edge Types : 5
Retweet : 4393
MentionsInRetweet : 6773
Mentions : 3328
Tweet : 1989
Replies to : 138
Self-Loops : 2147
Reciprocated Vertex Pair Ratio : 0.0554096638655462
Reciprocated Edge Ratio : 0.10500124409057
Connected Components : 709
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 3579
Maximum Edges in a Connected Component : 14201
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.339769
Graph Density : 0.000303475790764354
Modularity : 0.418533
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,147 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, 12 February 2021 at 23:49 UTC.
The requested start date was Friday, 12 February 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 6-day, 5-hour, 31-minute period from Friday, 05 February 2021 at 19:28 UTC to Friday, 12 February 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:
[478] digital,health [389] #digitalhealth,#socialmedia [261] covid,19 [261] gt,gt [226] #healthcare,#digitalhealth [201] #digitalhealth,#healthtech [200] #socialmedia,#digitalmarketing [130] #healthtech,#digitalhealth [105] #health,#healthcareit [100] #healthcareit,#ehealth Top Word Pairs in Tweet in G1:
[64] #digitalhealth,#healthtech [56] digital,health [45] covid,19 [37] study,finds [34] smart,eyewear [34] eyewear,adjusts [34] adjusts,vison [34] vison,automatically [34] automatically,gigadgets_ [34] gigadgets_,#iot Top Word Pairs in Tweet in G2:
[289] #digitalhealth,#socialmedia [181] gt,gt [170] #socialmedia,#digitalmarketing [139] digital,health [84] covid,19 [71] health,world [71] world,congress [71] congress,2021 [71] march,30 [71] 30,31 Top Word Pairs in Tweet in G3:
[38] digital,health [25] #healthcare,#digitalhealth [24] learn,more [23] #digitalhealth,#healthcare [19] #digitalhealth,#health [16] covid,19 [16] capital,call [13] #digital,#digitalhealth [12] #digitalhealth,#medtech [10] patient,experience Top Word Pairs in Tweet in G4:
[103] #healthcare,#digitalhealth [94] #health,#healthcareit [92] #healthcareit,#ehealth [81] #ehealth,#healthcare [54] #digitalhealth,#socialmedia [53] digital,health [46] covid,19 [40] #digitalhealth,#mhealth [39] twitter's,shared [39] free,realtime Top Word Pairs in Tweet in G5:
[27] artificial,intelligence [25] #futuremedicine,#technology [22] #telemedicine,#digitalhealth [21] #digitalhealth,#medtech [21] #digitalhealth,#hcldr [21] #hcldr,#hitsm [20] icymi,gt [19] #healthtech,#medicine [19] #healthcare,#healthtech [19] harlow,healthcare Top Word Pairs in Tweet in G6:
[21] digital,health [12] still,many [12] many,challenges [12] challenges,patients [12] patients,poorer [12] poorer,countries [12] countries,receive [12] receive,proper [12] proper,diagnosis [12] diagnosis,help Top Word Pairs in Tweet in G7:
[16] #digitalhealthweek21,starts [16] starts,monday [16] monday,still [16] still,free [16] free,tickets [16] tickets,available [16] available,send [16] send,dm [16] dm,details [16] details,conference Top Word Pairs in Tweet in G8:
[13] medtech,insights [12] behavior,change [12] change,hard [12] hard,science [12] science,helps [12] helps,ur [12] ur,#healthtech [12] #healthtech,#medtech [12] #medtech,co [12] co,doing Top Word Pairs in Tweet in G9:
[11] digital,transformation [10] policy,hackathon [8] remote,patient [8] patient,monitoring [8] hc_finance,video [8] healthcare,digital [8] moving,away [8] away,legacy [8] legacy,healthcare [7] #digitalhealth,#healthtech Top Word Pairs in Tweet in G10:
[41] #pain,data [39] benchmarking,#pain [37] #ai,#ml [37] accendowave,benchmarking [36] #rstats,#reactjs [36] #iot,#iiot [35] #ml,#machinelearning [33] #reactjs,#iot [32] #machinelearning,#bigdata [31] machine,learning 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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