The graph represents a network of 1,534 Twitter users whose tweets in the requested range contained "mhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 January 2022 at 02:47 UTC.
The requested start date was Monday, 10 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 13-day, 10-hour, 24-minute period from Monday, 27 December 2021 at 01:50 UTC to Sunday, 09 January 2022 at 12:15 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 : 1534
Unique Edges : 1600
Edges With Duplicates : 8132
Total Edges : 9732
Number of Edge Types : 5
Retweet : 3178
MentionsInRetweet : 4519
Mentions : 1074
Tweet : 881
Replies to : 80
Self-Loops : 949
Reciprocated Vertex Pair Ratio : 0.0372893510218716
Reciprocated Edge Ratio : 0.0718976840649845
Connected Components : 134
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 1169
Maximum Edges in a Connected Component : 9161
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.91217
Graph Density : 0.0012302147198827
Modularity : 0.237759
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,534 Twitter users whose tweets in the requested range contained "mhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 January 2022 at 02:47 UTC.
The requested start date was Monday, 10 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 13-day, 10-hour, 24-minute period from Monday, 27 December 2021 at 01:50 UTC to Sunday, 09 January 2022 at 12:15 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 : mhealth
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:
[887] #digitalhealth,#socialmedia [788] #machinelearning,#ai [665] #rstats,#reactjs [631] #reactjs,#iot [587] #analytics,#machinelearning [522] #ai,#python [421] #python,#rstats [410] #socialmedia,#digitalmarketing [320] #iot,#iiot [245] #ai,#rstats Top Word Pairs in Tweet in G1:
[79] #digitalhealth,#socialmedia [57] #mhealth,#hcsm [48] #hcsm,#hcsmeu [43] #mhealth,#digitalhealth [43] digital,health [30] #mhealth,#patientpayments [30] gt,gt [28] #digitalhealth,#mhealth [26] #socialmedia,#digitalmarketing [25] learn,more Top Word Pairs in Tweet in G2:
[499] #machinelearning,#ai [408] #rstats,#reactjs [389] #analytics,#machinelearning [388] #reactjs,#iot [345] #ai,#python [274] #python,#rstats [212] #iot,#iiot [135] #ai,#rstats [123] #digitalhealth,#socialmedia [115] #analyics,#machinelearning Top Word Pairs in Tweet in G3:
[245] #machinelearning,#ai [223] #rstats,#reactjs [211] #reactjs,#iot [166] #analytics,#machinelearning [149] #ai,#python [128] #python,#rstats [95] #ai,#rstats [86] #iot,#iiot [79] #ml,#linux [79] #analyics,#machinelearning Top Word Pairs in Tweet in G4:
[663] #digitalhealth,#socialmedia [334] #socialmedia,#digitalmarketing [90] gt,gt [73] #digitalmarketing,#iot [73] #socialmedia,#digitalm [61] #healthtech,#iot [61] #iot,#healthtech [61] 2022,#digitalhealth [60] #digitalmarketing,#ai [59] #iot,#industry40 Top Word Pairs in Tweet in G5:
[63] #dhpsp,#hospitalstalktolovedones [52] #hospitalstalktolovedones,#npmnd [27] believephq,#dhpsp [24] shared,#mhealth [23] #npmnd,#inp [23] #digitalhealth,#mhealth [23] twitter's,shared [23] #mhealth,content [23] free,realtime [23] realtime,reports Top Word Pairs in Tweet in G6:
[34] #mhealth,#medtech [32] #medtech,#meded [32] #ai,#biotech [31] #protocol,#mhealth [30] #meded,#pharma [30] #pharma,#ai [25] #clinicaltrials,#teckrotheanswer [23] #teckrotheanswer,#clinicaltrial [23] #clinicaltrial,#trials [23] #trials,#protocol Top Word Pairs in Tweet in G7:
[8] mindinventory,offers [8] offers,highly [8] highly,scalable [8] scalable,efficient [8] medical,#appdevelopment [8] #appdevelopment,services [8] laboratories,contact [8] contact,experts [7] efficient,healthcare [7] healthcare,medical Top Word Pairs in Tweet in G8:
[3] dhealthldn,digitalhealthj [3] wearablesexpert,digitalhealth2 [2] wearablesexpert,wearabletech [2] buds_uk,dhealthldn [2] digitalhealth2,dhealthldn [2] #digitalhealth,#healthtech [2] #healthtech,#nhs [2] #nhs,#nhsx [2] #nhsx,#mhealth Top Word Pairs in Tweet in G9:
[13] article,importance [13] importance,#diverse [13] #diverse,phenotypic [13] phenotypic,populations [13] populations,#clinicaltrials [13] #clinicaltrials,gender [13] gender,ethnic [13] ethnic,#diversity [12] drjhonatanmd,article [10] #ehealth,#mhealth Top Word Pairs in Tweet in G10:
[69] xa,consalud_es [69] consalud_es,sbr [69] sbr,#mhealth [55] mirar,hacia [55] hacia,virus [55] virus,consalud_es [55] consalud_es,co [55] co,9jdlyzmk3h [55] 9jdlyzmk3h,xa [55] #mhealth,#digitalhealth Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: