The graph represents a network of 3,521 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 Saturday, 30 November 2019 at 13:10 UTC.
The requested start date was Saturday, 30 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 2-hour, 12-minute period from Tuesday, 26 November 2019 at 22:48 UTC to Saturday, 30 November 2019 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 : 3521
Unique Edges : 5105
Edges With Duplicates : 3201
Total Edges : 8306
Number of Edge Types : 3
Mentions : 6717
Replies to : 98
Tweet : 1491
Self-Loops : 1491
Reciprocated Vertex Pair Ratio : 0.0507188498402556
Reciprocated Edge Ratio : 0.096541239072596
Connected Components : 450
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 2357
Maximum Edges in a Connected Component : 6806
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.740349
Graph Density : 0.000424563011541143
Modularity : 0.572237
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,521 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 Saturday, 30 November 2019 at 13:10 UTC.
The requested start date was Saturday, 30 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 2-hour, 12-minute period from Tuesday, 26 November 2019 at 22:48 UTC to Saturday, 30 November 2019 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:
[616] gt,gt [265] digital,health [165] gt,#digitalhealth [156] #health,#nutrition [150] #nutrition,#life [139] #life,#hcsm [130] #healthtech,#digitalhealth [126] #digitalhealth,#healthcare [116] #healthcare,#digitalhealth [115] #hcsm,#healthy Top Word Pairs in Tweet in G1:
[75] #healthtech,#digitalhealth [71] #ai,#artificialintelligence [69] #digitalhealth,cc [67] glasses,prevent [67] prevent,stroke [67] stroke,tictoc [67] tictoc,#ai [67] #artificialintelligence,#healthtech [67] #healthtech,#ml [67] #ml,#digitalhealth Top Word Pairs in Tweet in G2:
[528] gt,gt [150] gt,#digitalhealth [130] #health,#nutrition [126] #nutrition,#life [118] #life,#hcsm [100] #hcsm,#healthy [91] #healthy,#digitalhealth [82] #digitalhealth,#socialmedia [80] #digitalhealth,#4patients [78] #4patients,#foamed Top Word Pairs in Tweet in G3:
[91] wow,researchers [91] researchers,two [91] two,universities [91] universities,europe [91] europe,published [91] published,method [91] method,correctly [91] correctly,re [91] re,identify [91] identify,99 Top Word Pairs in Tweet in G4:
[20] digital,health [7] #digitalhealth,#healthcare [6] #healthtech,#digitalhealth [6] #healthcare,#digitalhealth [5] quantum,entanglement [5] entanglement,innovation [5] innovation,instant [5] tech,giants [5] health,care [5] #digitalhealth,#healthtech Top Word Pairs in Tweet in G5:
[32] #5nationsecosystem,gathering [31] bleddyn_rees,#digitalhealth [31] #jointhedots,#digitalhealth [31] #digitalhealth,#ehealth [29] echalliance,dhewales [27] team,orchahealth [27] #5nationsecosystem,#jointhedots [26] dhewales,echalliance [26] #breakingdownsilos,#5nationsecosystem [22] looking,forward Top Word Pairs in Tweet in G6:
[19] digital,health [13] world,continuous [13] continuous,digital [13] gait,speed [12] google,health [12] health,unveils [12] unveils,ehr [12] ehr,data [12] data,aggregation [12] aggregation,tool Top Word Pairs in Tweet in G7:
[10] #digitalhealth,#startups [10] g4a,korea [7] pay,attention [7] attention,#digitalhealth [7] #digitalhealth,folks [7] folks,cornucopia [7] cornucopia,12 [7] 12,31 [7] 31,opportunities [7] amalec,rasushrestha Top Word Pairs in Tweet in G8:
[29] #digitalhealth,#healthcare [14] #healthcare,#digitalhealth [10] docs,using [10] using,tik [10] tik,tok [10] tok,combat [10] combat,health [10] health,misinformation [10] misinformation,connect [10] connect,young Top Word Pairs in Tweet in G9:
[20] somewhat,brief [20] brief,absence [20] absence,profile [20] profile,series [20] series,back [20] back,bang [20] bang,first [20] first,andy [20] andy,webster [20] webster,#ccio Top Word Pairs in Tweet in G10:
[13] looking,forward [12] digital,health [11] join,drawfoster [11] drawfoster,drgandalf52 [11] drgandalf52,health [11] health,innovation [11] innovation,network [11] network,meeting [11] 12,12 [8] innovators,tiny 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: