The graph represents a network of 2,654 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, 23 December 2022 at 23:19 UTC.
The requested start date was Friday, 23 December 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 3-day, 18-hour, 25-minute period from Monday, 19 December 2022 at 06:34 UTC to Friday, 23 December 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 : 2654
Unique Edges : 2559
Edges With Duplicates : 13999
Total Edges : 16558
Number of Edge Types : 5
Mentions : 5375
Tweet : 1241
Retweet : 4491
MentionsInRetweet : 5259
Replies to : 192
Self-Loops : 2318
Reciprocated Vertex Pair Ratio : 0.0653173873045078
Reciprocated Edge Ratio : 0.122625215889465
Connected Components : 194
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 2275
Maximum Edges in a Connected Component : 16049
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.205115
Graph Density : 0.000657855306486436
Modularity : 0.22291
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,654 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, 23 December 2022 at 23:19 UTC.
The requested start date was Friday, 23 December 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 3-day, 18-hour, 25-minute period from Monday, 19 December 2022 at 06:34 UTC to Friday, 23 December 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:
[2246] #datascientist,#csuite [2245] #healthtech,#smartcity [2244] #smartcity,#datascientist [2242] #web3,#cx [2242] #csuite,#digitalhealth [2239] #digitalhealth,#web3 [2237] #cx,#ehealth [2234] #finserv,#cloud [2234] #ehealth,#finserv [1245] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[2023] #datascientist,#csuite [2021] #healthtech,#smartcity [2021] #smartcity,#datascientist [2021] #csuite,#digitalhealth [2020] #digitalhealth,#web3 [2019] #cx,#ehealth [2019] #web3,#cx [2017] #ehealth,#finserv [2017] #finserv,#cloud [1038] #cloud,#insurtech Top Word Pairs in Tweet in G2:
[193] #healthtech,#smartcity [192] #web3,#cx [192] #datascientist,#csuite [191] #smartcity,#datascientist [190] #csuite,#digitalhealth [189] chidambara09,#healthtech [188] #digitalhealth,#web3 [187] #cx,#ehealth [186] #ehealth,#finserv [186] #finserv,#cloud Top Word Pairs in Tweet in G3:
[53] digital,health [51] #healthcare,#digitalhealth [50] #healthcareit,#ehealth [49] #ehealth,#healthcare [49] #health,#healthcareit [44] #telehealth,#telemedicine [41] #digitalhealth,#wearables [38] #wearables,series [33] series,wearablesexpert [26] #ehealth,#mhealth Top Word Pairs in Tweet in G4:
[16] digital,health [8] #medtwitter,#meded [8] #medpub,#medtwitter [8] #meded,#mednews [7] read,more [6] learn,more [5] #healthcare,#digitalhealth [5] #machinelearning,#ai [5] innovations,#digitalhealth [4] #nlp,#iiot Top Word Pairs in Tweet in G5:
[132] #digitalhealth,#socialmedia [87] #digital,#digitalhealth [71] #socialmedia,#digitalmarketing [70] #digitalhealth,#digital [68] gt,gt [50] #digital,#health [39] #digitalhealth,#ehealth [37] #smartcity,#digital [27] #socialmedia,#digital [24] #smartcity,#datascientist Top Word Pairs in Tweet in G6:
[15] who_europe,#digitalhealth [8] davidnovillo,who_europe [8] #digitalhealth,tools [8] excellence,davidnovillo [7] #digitalhealth,technologies [7] #digitalhealth,whoukraine [7] health,many [7] manage,health [7] public,better [7] enable,patients Top Word Pairs in Tweet in G7:
[25] ह,ल [24] न,भ [24] रज,स [24] आय,ष [24] स,ट [24] ष,म [24] ट,र [24] भ,रत [24] म,न [23] ayushman,bharat Top Word Pairs in Tweet in G8:
[50] ios,android [50] introducing,#dokitorapp [50] available,ios [50] #dokitorapp,available [50] app,sure [50] android,#digitalhealth [50] #digitalhealth,app [50] heiii,introducing [49] shugandabrendan,heiii [2] ownyourfutureug,rhuganda Top Word Pairs in Tweet in G9:
[12] unplugged,2022 [12] 2022,digitalhealth2 [12] review,past [12] hosts,bumper [12] bumper,special [12] special,episode [12] hoeksma,hosts [12] digitalhealth2,ceo [12] past,12 [12] jon,hoeksma Top Word Pairs in Tweet in G10:
[16] digital,health [12] market,disappeared [12] ipo,market [12] disappeared,2022 [10] ending,event [10] business,ending [9] health,ipo [9] 2022,2023 [9] 2023,different [9] different,companies 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: