The graph represents a network of 1,731 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, 21 February 2022 at 02:46 UTC.
The requested start date was Monday, 21 February 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, 18-minute period from Monday, 07 February 2022 at 01:50 UTC to Sunday, 20 February 2022 at 12:08 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 : 1731
Unique Edges : 1842
Edges With Duplicates : 8204
Total Edges : 10046
Number of Edge Types : 5
Retweet : 3115
MentionsInRetweet : 4389
Mentions : 1432
Tweet : 1013
Replies to : 97
Self-Loops : 1082
Reciprocated Vertex Pair Ratio : 0.0552248677248677
Reciprocated Edge Ratio : 0.104669382638671
Connected Components : 133
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 1313
Maximum Edges in a Connected Component : 9113
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.85086
Graph Density : 0.00106557404420579
Modularity : 0.274407
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,731 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, 21 February 2022 at 02:46 UTC.
The requested start date was Monday, 21 February 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, 18-minute period from Monday, 07 February 2022 at 01:50 UTC to Sunday, 20 February 2022 at 12:08 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:
[909] #digitalhealth,#socialmedia [436] #socialmedia,#digitalmarketing [206] gt,gt [138] gave,kred [138] kred,#influence [114] #mhealth,#hcsm [107] digital,health [107] #ehealth,#mhealth [106] sbr,#mhealth [106] #mhealth,gracias Top Word Pairs in Tweet in G1:
[91] #digitalhealth,#socialmedia [51] #mhealth,#digitalhealth [40] #mhealth,#hcsm [32] #digitalhealth,#mhealth [31] #socialmedia,#digitalmarketing [28] #hcsm,#hcsmeu [28] gt,gt [27] learn,more [26] digital,health [25] #mhealth,#patientpayments Top Word Pairs in Tweet in G2:
[134] #digitalhealth,#socialmedia [125] gave,kred [125] kred,#influence [90] #dhpsp,#medtwitterai [84] eli_krumova,gave [77] #iot,#iiot [65] #ehealth,#mhealth [59] #100daysofcode,#python [59] #medtech,#healthit [58] #mhealth,#telehealth Top Word Pairs in Tweet in G3:
[669] #digitalhealth,#socialmedia [357] #socialmedia,#digitalmarketing [158] gt,gt [67] #mhealth,#hcsm [65] #digitalmarketing,#mhealth [64] #hcsm,#hcsmeu [60] #iot,#healthtech [55] #digitalmarketing,#iot [55] #mhealth,#ai [54] #ai,#iot Top Word Pairs in Tweet in G4:
[25] digital,health [23] #ehealth,#mhealth [22] #digitalhealth,#ehealth [19] systematic,review [18] #mhealth,#digitalhealth [16] #mhealth,#medtech [14] find,more [12] wearable,devices [11] we've,seen [11] seen,actually Top Word Pairs in Tweet in G5:
[44] mental,health [24] cadet,mental [22] health,advocate [15] well,done [13] great,see [11] good,luck [10] rafac_mhealth,rafac_mhwr [10] rafac_mhealth,comdtac [9] delivering,sessions [9] comdtac,aircadets Top Word Pairs in Tweet in G6:
[106] sbr,#mhealth [106] #mhealth,gracias [106] gracias,leer [64] xa,sbr [63] opiáceos,co [47] dralfonsovidal,opiáceos [46] voluntad,vencer [43] vencer,co [42] xa,consalud_es [42] consalud_es,sbr Top Word Pairs in Tweet in G7:
[9] mhealth,app [4] digital,therapeutics [3] mobile,health [3] mhealth,apps [3] mental,health [3] mhealth,appoints [3] appoints,biotech [3] biotech,veteran [3] veteran,digital [3] therapeutics,pioneer Top Word Pairs in Tweet in G8:
[30] #hubtalks2022,#europeanmhealthhub [26] centric,ehr [23] ehr,data [23] data,sharing [22] sharing,care [22] care,research [20] open,source [16] 'citizen,centric [16] source,repository [16] repository,#mhealth Top Word Pairs in Tweet in G9:
[16] latest,mhealth [16] mhealth,daily [16] daily,thanks [14] link,#ehr [14] #ehr,#healthcare [14] #healthcare,#emr [14] #emr,#healthcareit [6] reading,article [6] article,link [6] #digitalhealth,#socialmedia Top Word Pairs in Tweet in G10:
[38] movistarcentre,streaming [25] 24,febrero [25] 24,02 [25] 02,movistarcentre [25] streaming,fundacionisys [21] bcn,conference [19] fundacionisys,amb [18] #mhealthbcnconference2022,24 [17] mhealth,bcn [15] amb,col Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: