The graph represents a network of 4,383 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, 28 January 2022 at 23:43 UTC.
The requested start date was Friday, 28 January 2022 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 7-day, 14-hour, 35-minute period from Thursday, 20 January 2022 at 10:24 UTC to Friday, 28 January 2022 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 : 4383
Unique Edges : 4321
Edges With Duplicates : 11636
Total Edges : 15957
Number of Edge Types : 5
Retweet : 4451
MentionsInRetweet : 6655
Tweet : 2071
Mentions : 2674
Replies to : 106
Self-Loops : 2208
Reciprocated Vertex Pair Ratio : 0.0494034873049862
Reciprocated Edge Ratio : 0.0941553709371812
Connected Components : 672
Single-Vertex Connected Components : 334
Maximum Vertices in a Connected Component : 2850
Maximum Edges in a Connected Component : 13515
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.201622
Graph Density : 0.000357226423446549
Modularity : 0.377992
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,383 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, 28 January 2022 at 23:43 UTC.
The requested start date was Friday, 28 January 2022 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 7-day, 14-hour, 35-minute period from Thursday, 20 January 2022 at 10:24 UTC to Friday, 28 January 2022 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:
[572] digital,health [463] #digitalhealth,#socialmedia [347] #flutter,#serverless [285] #digitalhealth,#digital [278] #womenwhocode,#analytics [246] #tensorflow,#javascript [237] #python,#flutter [226] #digital,#health [223] #socialmedia,#digitalmarketing [209] #serverless,#tensorflow Top Word Pairs in Tweet in G1:
[160] digital,health [49] #healthtech,#digitalhealth [46] #dhpsp,#medtwitterai [43] #digitalhealth,#wearables [42] #digitalhealth,#healthcare [40] #digitalhealth,#socialmedia [37] #healthcare,#digitalhealth [37] #technology,convergence [37] convergence,technologies [37] technologies,driving Top Word Pairs in Tweet in G2:
[414] #digitalhealth,#socialmedia [310] #flutter,#serverless [270] #digitalhealth,#digital [243] #womenwhocode,#analytics [222] #tensorflow,#javascript [216] #digital,#health [211] #socialmedia,#digitalmarketing [211] #python,#flutter [189] #serverless,#tensorflow [162] #digital,#digitalhealth Top Word Pairs in Tweet in G3:
[37] digital,health [21] #healthcare,#digitalhealth [17] learn,more [15] #digitalhealth,#healthcare [13] #digitalhealth,#healthtech [13] #digitalhealth,#innovation [13] #digitalhealth,#health [11] mental,health [10] health,care [10] #medtech,#xl8 Top Word Pairs in Tweet in G4:
[37] nurse,midwife [37] midwife,ahp [37] ahp,interest [37] interest,digital [37] digital,collaboration [37] collaboration,sharing [37] sharing,best [37] best,practice [37] practice,networking [37] networking,please Top Word Pairs in Tweet in G5:
[28] health,tech [24] digital,health [22] #healthtech,#innovation [21] #digitalhealth,#healthcare [21] 1st,health [21] tech,fireside [21] fireside,chat [21] chat,2022 [21] 2022,fri [21] fri,jan Top Word Pairs in Tweet in G6:
[40] mvollmer1,victoryabro [31] victoryabro,nicochan33 [19] technology,helping [16] #vr,technology [16] helping,scientists [16] scientists,study [16] study,#coronavirus [16] #coronavirus,nanome_inc [16] nanome_inc,mvollmer1 [15] curieuxexplorer,#vr Top Word Pairs in Tweet in G7:
[11] #healthcare,#telemedicine [10] help,facilitate [10] facilitate,patient [10] patient,friendly [10] friendly,home [10] home,care [10] care,monitoring [10] #telemed,#hipaa [10] #hipaa,#patientcare [10] #patientcare,#healthcare Top Word Pairs in Tweet in G8:
[18] mental,health [11] health,apps [9] digital,health [8] virtual,care [7] remote,patient [7] patient,monitoring [6] #behavioralhealth,#mentalhealth [6] naomi,allen [6] allen,cofounder [6] cofounder,ceo Top Word Pairs in Tweet in G9:
[22] #hitsm,#digitalhealth [7] 2022,predictions [6] tech,enabled [5] #digitalhealth,#telemednow [5] techguy,2022 [5] enabled,healthcare [5] healthcare,tools [5] tools,hype [5] hype,hope [5] hope,headache Top Word Pairs in Tweet in G10:
[11] #digitalhealth,tools [11] tools,such [11] such,personal [11] personal,health [11] health,records [11] records,great [11] great,potential [11] potential,improve [11] improve,care [11] care,demographics 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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