The graph represents a network of 2,964 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, 15 February 2021 at 01:58 UTC.
The requested start date was Monday, 15 February 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 13-day, 2-hour, 57-minute period from Monday, 01 February 2021 at 10:15 UTC to Sunday, 14 February 2021 at 13:13 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 : 2964
Unique Edges : 2891
Edges With Duplicates : 13514
Total Edges : 16405
Number of Edge Types : 5
MentionsInRetweet : 6996
Mentions : 2455
Retweet : 5251
Tweet : 1558
Replies to : 145
Self-Loops : 1671
Reciprocated Vertex Pair Ratio : 0.0541098719537381
Reciprocated Edge Ratio : 0.102664576802508
Connected Components : 287
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 2193
Maximum Edges in a Connected Component : 14443
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.91293
Graph Density : 0.00058116682448352
Modularity : 0.269682
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,964 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, 15 February 2021 at 01:58 UTC.
The requested start date was Monday, 15 February 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 13-day, 2-hour, 57-minute period from Monday, 01 February 2021 at 10:15 UTC to Sunday, 14 February 2021 at 13:13 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:
[1098] #rstats,#reactjs [970] #digitalhealth,#socialmedia [589] #machinelearning,#ai [574] #iot,#iiot [569] #analytics,#machinelearning [533] #socialmedia,#digitalmarketing [527] #analytics,#ai [516] #ai,#python [514] #reactjs,#iot [512] #ai,#rstats Top Word Pairs in Tweet in G1:
[133] #digitalhealth,#socialmedia [100] gt,gt [92] #mhealth,#hcsm [91] covid,19 [84] mhealth,apps [83] #hcsm,#hcsmeu [68] mobile,health [66] #digitalhealth,#mhealth [62] digital,health [56] mhealth,market Top Word Pairs in Tweet in G2:
[161] wef,enricomolinari [132] enricomolinari,#ehealth [130] #rstats,#reactjs [112] #ehealth,#mhealth [108] #digitalhealth,#socialmedia [86] #ai,#iot [85] #machinelearning,#ai [82] #iot,#iiot [74] #analytics,#machinelearning [74] enricomolinari,#ai Top Word Pairs in Tweet in G3:
[67] mhealth,apps [49] apps,expose [49] expose,millions [49] millions,cyberattacks [16] pii,phi [14] mhealth,app [11] mobile,health [10] covid,19 [9] apps,consistently [9] consistently,expose Top Word Pairs in Tweet in G4:
[14] health,wearables [13] #mhealth,#healthit [13] digital,health [13] wearables,series [11] video,digital [10] watch,#mhealth [9] #healthit,#nhs [9] #nhs,#nhsdigital [7] series,#4 [7] #4,gmathews71 Top Word Pairs in Tweet in G5:
[937] #rstats,#reactjs [487] #machinelearning,#ai [480] #analytics,#machinelearning [477] #iot,#iiot [453] #analytics,#ai [437] #ai,#rstats [435] #reactjs,#iot [432] #ai,#python [427] #python,#rstats [296] #reactjs,#machinelearning Top Word Pairs in Tweet in G6:
[97] mhealth,apps [50] mobile,health [49] pii,phi [48] apps,expose [48] expose,millions [48] millions,cyberattacks [45] expose,pii [33] health,apps [31] apps,consistently [31] consistently,expose Top Word Pairs in Tweet in G7:
[27] wellbeing,resilience [26] aircadets,rafac_mhealth [26] mental,health [19] rafac_mhealth,rafac_mhwr [18] spare,hour [17] rafac_mhealth,comdtac [15] resilience,workshop [14] resilience,session [13] coffee,morning [13] staff,cadets Top Word Pairs in Tweet in G8:
[90] vacunas,vendo [88] consalud_es,sbr [88] sbr,#mhealth [86] xa,consalud_es [86] #mhealth,gracias [84] vendo,co [58] co,mske42aj29 [58] mske42aj29,xa [56] dralfonsovidal,vacunas [25] #mhealth,#ehealth Top Word Pairs in Tweet in G9:
[713] #digitalhealth,#socialmedia [442] #socialmedia,#digitalmarketing [252] gt,gt [112] #mhealth,#healthtech [100] #digitalmarketing,#ai [91] #mhealth,#medtech [91] #medtech,#meded [91] #meded,#pharma [91] #pharma,#ai [91] #ai,#biotech Top Word Pairs in Tweet in G10:
[34] voice,patient [22] gil_bashe,finnpartners [14] stacy_hurt,gil_bashe [14] finnpartners,fpipr [12] joins,voice [11] patient,webinar [9] articles,patient [9] patient,advocacy [9] advocacy,gil_bashe [9] patient,engagement Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: