The graph represents a network of 3,018 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, 22 April 2022 at 22:41 UTC.
The requested start date was Friday, 22 April 2022 at 00:01 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, 7-hour, 7-minute period from Monday, 18 April 2022 at 16:53 UTC to Friday, 22 April 2022 at 00:01 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 : 3018
Unique Edges : 3046
Edges With Duplicates : 13389
Total Edges : 16435
Number of Edge Types : 5
Mentions : 2937
Retweet : 5148
MentionsInRetweet : 7002
Replies to : 142
Tweet : 1206
Self-Loops : 1740
Reciprocated Vertex Pair Ratio : 0.0441916837590901
Reciprocated Edge Ratio : 0.0846428571428571
Connected Components : 251
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 2424
Maximum Edges in a Connected Component : 15532
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.616191
Graph Density : 0.00061502600791231
Modularity : 0.269827
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,018 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, 22 April 2022 at 22:41 UTC.
The requested start date was Friday, 22 April 2022 at 00:01 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, 7-hour, 7-minute period from Monday, 18 April 2022 at 16:53 UTC to Friday, 22 April 2022 at 00:01 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:
[1322] #women,#ehealth [1321] #cx,#women [1316] #healthtech,#datascientist [1313] #ai,#digitalhealth [1307] #ehealth,#ces2023 [1304] #datascientist,#iot [1303] #iot,#ai [944] #digitalhealth,#startups [934] #startups,#cx [820] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[993] #cx,#women [992] #women,#ehealth [991] #healthtech,#datascientist [985] #ehealth,#ces2023 [982] #iot,#ai [980] #datascientist,#iot [969] #ai,#digitalhealth [706] #digitalhealth,#startups [706] #startups,#cx [619] #ces2023,#finserv Top Word Pairs in Tweet in G2:
[74] digital,health [61] #ai,#digitalhealth [55] #iot,#ai [53] #healthtech,#datascientist [53] #datascientist,#iot [53] #women,#ehealth [52] #ehealth,#digitalhealth [51] #cx,#women [49] #ehealth,#ces2023 [47] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[46] digital,health [43] #healthcare,#digitalhealth [32] #health,#healthcareit [29] #healthcareit,#ehealth [29] #ehealth,#healthcare [21] #digitalhealth,#digital [20] #healthcare,#healthtech [19] #digital,#digitalhealth [18] #digitalhealth,#startups [18] #cx,#women Top Word Pairs in Tweet in G4:
[733] #datascience,#bigdata [648] #bigdata,#flutter [620] #ai,#nlp [509] #nlp,#5g [500] #5g,#datascience [473] #flutter,#100daysofcode [421] #ai,#machinelearning [371] #machinelearning,#ai [357] #healthtech,#ai [267] #100daysofcode,#coding Top Word Pairs in Tweet in G5:
[20] digital,health [14] full,story [12] nhs,app [11] fed_ip,launched [11] launched,charter [11] charter,address [11] address,main [11] main,concerns [9] free,webinar [9] webinar,identify Top Word Pairs in Tweet in G6:
[13] digital,health [10] #digitalhealth,#healthcare [9] live,#3dhealswebinar [9] #3dhealswebinar,#3dprinted [9] #3dprinted,#prosthetics [9] #prosthetics,#medical3dprinting [9] #medical3dprinting,#medtech [9] #medtech,#m3dp [7] #digitalhealth,#health [7] #digital,#digitalhealth Top Word Pairs in Tweet in G7:
[17] #precisionmedicine,#healthcareuncomplicated [17] #healthcareuncomplicated,#digitalhealth [17] #digitalhealth,#clinitouchvie [17] #dhpsp,#crbiotech [16] #digitalhealth,look [16] look,both [16] both,parts [16] parts,equation [16] equation,make [16] make,#health Top Word Pairs in Tweet in G8:
[36] #healthcare,#digitalhealth [32] #health,#healthcareit [32] #ehealth,#healthcare [31] #healthcareit,#ehealth [15] healthcare,#digitalhealth [12] #emrfinder,#simplifyingselection [12] #simplifyingselection,#healthcare [12] icymi,gt [12] harlow,healthcare [11] #digitalhealth,#telemedicine Top Word Pairs in Tweet in G9:
[26] published,draft [26] draft,texts [26] texts,very [26] very,first [26] first,ihi [26] ihi,call [26] call,topics [26] topics,#neurodegenerative [26] #neurodegenerative,#cancer [25] ihieurope,published Top Word Pairs in Tweet in G10:
[13] noodlev,promoted [13] promoted,chief [13] chief,digital [13] digital,officer [13] officer,providence [13] providence,provinnovation [11] snezana,mahon [9] digital,health [9] care,management [8] morning,noodlev 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: