The graph represents a network of 2,902 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, 01 March 2021 at 01:59 UTC.
The requested start date was Monday, 01 March 2021 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 12-day, 13-hour, 2-minute period from Tuesday, 16 February 2021 at 00:39 UTC to Sunday, 28 February 2021 at 13:41 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 : 2902
Unique Edges : 2977
Edges With Duplicates : 14070
Total Edges : 17047
Number of Edge Types : 5
Retweet : 5421
MentionsInRetweet : 7456
Mentions : 2591
Replies to : 127
Tweet : 1452
Self-Loops : 1565
Reciprocated Vertex Pair Ratio : 0.0478783327074728
Reciprocated Edge Ratio : 0.0913814728543272
Connected Components : 198
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 2292
Maximum Edges in a Connected Component : 15588
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.726784
Graph Density : 0.000662928798287432
Modularity : 0.273996
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,902 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, 01 March 2021 at 01:59 UTC.
The requested start date was Monday, 01 March 2021 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 12-day, 13-hour, 2-minute period from Tuesday, 16 February 2021 at 00:39 UTC to Sunday, 28 February 2021 at 13:41 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:
[797] #digitalhealth,#socialmedia [775] #rstats,#reactjs [537] #iot,#iiot [503] #machinelearning,#ai [485] #analytics,#machinelearning [485] #ai,#python [425] #python,#rstats [404] #reactjs,#iot [398] #analytics,#ai [370] #socialmedia,#digitalmarketing Top Word Pairs in Tweet in G1:
[653] #rstats,#reactjs [447] #iot,#iiot [427] #machinelearning,#ai [410] #analytics,#machinelearning [410] #ai,#python [356] #python,#rstats [338] #reactjs,#iot [335] #analytics,#ai [308] #iiot,#bigdata [290] #reactjs,#machinelearning Top Word Pairs in Tweet in G2:
[257] #clinicaltrials,#teckrotheanswer [245] #mhealth,#medtech [244] #medtech,#meded [244] #meded,#pharma [244] #pharma,#ai [243] clinical,trial [243] #ai,#biotech [228] #protocol,#mhealth [226] #digitalhealth,#socialmedia [208] #trials,#protocol Top Word Pairs in Tweet in G3:
[554] #digitalhealth,#socialmedia [311] #socialmedia,#digitalmarketing [214] gt,gt [124] covid,19 [63] #mhealth,#healthtech [62] #iot,#ai [60] gt,#digitalhealth [59] #healthtech,#iot [58] #mhealth,#iot [58] #ai,#healthtech Top Word Pairs in Tweet in G4:
[42] #digitalhealth,#mhealth [41] #mhealth,#healthtech [36] healthcare,apps [32] gt,gt [29] apps,nhs [29] nhs,standards [19] #mhealth,#digitalhealth [16] digital,health [15] 80,healthcare [14] interested,#ai Top Word Pairs in Tweet in G5:
[88] patinazo,injusto [88] xa,consalud_es [88] consalud_es,sbr [88] sbr,#mhealth [67] #mhealth,gracias [67] gracias,buen [61] dralfonsovidal,patinazo [58] injusto,co [58] co,pvhfq0t9uq [58] pvhfq0t9uq,xa Top Word Pairs in Tweet in G6:
[15] mhealth,apps [9] mobile,health [8] api,attacks [8] health,mhealth [7] mhealth,wearable [7] wearable,boosts [7] boosts,remote [7] remote,patient [7] patient,monitoring [7] monitoring,connected Top Word Pairs in Tweet in G7:
[26] resilience,workshop [20] wellbeing,resilience [18] come,along [15] comdtac,rafac_mhealth [14] rafac_mhealth,rafac_mhwr [13] wso5_semidlands,join [12] talk,people [12] staff,aircadets [12] workshop,evening [11] join,informal Top Word Pairs in Tweet in G8:
[21] webinar,collaborative [18] european,mhealth [17] hub,talks [17] talks,2021 [13] know,eumhealthhub [13] eumhealthhub,offers [13] offers,compilation [13] compilation,repository [13] repository,#ehealth [13] #ehealth,apps Top Word Pairs in Tweet in G9:
[42] mhealth,apps [33] #mhealth,#healthcare [31] #healthcare,#healthapps [25] expose,millions [24] apps,expose [22] #mhealth,apps [22] millions,cyberattacks [21] pii,phi [19] expose,pii [17] health,apps Top Word Pairs in Tweet in G10:
[38] finnpartners,hospitals [36] gil_bashe,finnpartners [33] tues,10am [32] 10am,join [31] hospitals,face [31] face,transformation [31] transformation,tues [31] join,gil_bashe [29] hospitals,healh [29] healh,data Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: