The graph represents a network of 2,818 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 Thursday, 05 November 2020 at 01:04 UTC.
The requested start date was Monday, 02 November 2020 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, 22-hour, 55-minute period from Monday, 19 October 2020 at 01:45 UTC to Monday, 02 November 2020 at 00:41 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 : 2818
Unique Edges : 2914
Edges With Duplicates : 9232
Total Edges : 12146
Number of Edge Types : 5
Retweet : 3554
MentionsInRetweet : 5230
Mentions : 2091
Tweet : 1151
Replies to : 120
Self-Loops : 1257
Reciprocated Vertex Pair Ratio : 0.0403329065300896
Reciprocated Edge Ratio : 0.0775384615384615
Connected Components : 216
Single-Vertex Connected Components : 120
Maximum Vertices in a Connected Component : 2202
Maximum Edges in a Connected Component : 11078
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.710696
Graph Density : 0.00061411086949785
Modularity : 0.326586
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,818 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 Thursday, 05 November 2020 at 01:04 UTC.
The requested start date was Monday, 02 November 2020 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, 22-hour, 55-minute period from Monday, 19 October 2020 at 01:45 UTC to Monday, 02 November 2020 at 00:41 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:
[1286] gt,gt [387] gt,#digitalhealth [271] #ai,#iot [214] #digitalhealth,#socialmedia [210] covid,19 [180] #digitalhealth,#mhealth [171] #socialmedia,#digitalmarketing [171] wef,enricomolinari [151] #mhealth,#hcsm [150] #machinelearning,#ai Top Word Pairs in Tweet in G1:
[1152] gt,gt [359] gt,#digitalhealth [238] #ai,#iot [205] #digitalhealth,#socialmedia [170] #socialmedia,#digitalmarketing [158] wef,enricomolinari [128] enricomolinari,#ai [114] covid,19 [107] enricomolinari,#ehealth [105] world's,first Top Word Pairs in Tweet in G2:
[130] gt,gt [55] #digitalhealth,#mhealth [50] covid,19 [48] #mhealth,#healthcare [44] #mhealth,#hcsm [40] digital,health [32] #ehealth,#mhealth [27] #hcsm,#hcsmeu [27] #healthcare,#healthapps [26] gt,#digitalhealth Top Word Pairs in Tweet in G3:
[4] barnetsouthgate,nicochan33 [3] firas_sarhan1,tsavoice [3] digital,health [2] cflashman,firas_sarhan1 [2] nicochan33,barnetsouthgate [2] mobile,health [2] health,technologies [2] mobilehealthhub,mobilehealth [2] dhealthldn,tsavoice [2] #digital,#health Top Word Pairs in Tweet in G4:
[20] mhealth,apps [9] mhealth,app [7] health,app [7] covid,19 [6] mobile,health [6] health,apps [5] self,management [5] using,mhealth [4] ata,launches [4] launches,resource Top Word Pairs in Tweet in G5:
[14] really,enjoyed [14] enjoyed,talking [14] talking,university [14] university,cambridge [14] cambridge,undergraduate [14] undergraduate,math [14] math,society [14] society,personalizing [14] personalizing,mhealth [13] susanmurphylab1,really Top Word Pairs in Tweet in G6:
[87] xa,consalud_es [87] consalud_es,sbr [87] sbr,#mhealth [85] #mhealth,gracias [54] civismo,xa [37] dralfonsovidal,civismo [33] vida,line [30] line,xa [17] dralfonsovidal,vida [10] nueva,guía Top Word Pairs in Tweet in G7:
[26] aircadets,rafac_mhealth [21] rafac_mhwr,aircadets [16] rafac_mhealth,congratulations [8] congratulations,ma [7] rafac_mhwr,rwo_ww [7] rwo_ww,rafac_mhealth [6] rafac_mhwr,rafac_mhealth [6] rafac_mhealth,comdtac [5] rafac_aspire,aircadets [5] aircadets,aco_rcnorth Top Word Pairs in Tweet in G8:
[16] great,see [14] lizashallpayne,great [12] health,apps [12] #mentalhealth,#apps [12] #apps,thisisinsider [12] showing,surge [12] surge,downloads [10] missed,news [10] news,check [10] check,latest Top Word Pairs in Tweet in G9:
[51] #healthit,#healthtech [47] hubbucket,prosumersoft [43] #healthtech,#digitalhealth [42] #medtech,#mhealth [41] #digitalhealth,#medtech [32] #artificialintelligence,#ai [23] #machinelearning,#ml [22] prosumersoft,hubmedx [19] #ai,#cognitivecomputing [16] #mhealth,#wearables Top Word Pairs in Tweet in G10:
[75] #mhealth,#hcsm [67] #hcsm,#hcsmeu [20] covid,19 [20] digital,health [13] artificial,intelligence [12] assessing,digital [12] health,'software [12] 'software,medical [12] medical,device' [12] device',hard 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: