The graph represents a network of 3,066 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, 03 August 2020 at 00:59 UTC.
The requested start date was Monday, 03 August 2020 at 00:01 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, 4-hour, 22-minute period from Tuesday, 21 July 2020 at 05:50 UTC to Sunday, 02 August 2020 at 10:13 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 : 3066
Unique Edges : 3145
Edges With Duplicates : 31002
Total Edges : 34147
Number of Edge Types : 5
Retweet : 5537
MentionsInRetweet : 23488
Tweet : 1294
Mentions : 3643
Replies to : 185
Self-Loops : 1422
Reciprocated Vertex Pair Ratio : 0.0518589436732089
Reciprocated Edge Ratio : 0.0986043689320388
Connected Components : 195
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 2561
Maximum Edges in a Connected Component : 33338
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.449721
Graph Density : 0.000701478830599034
Modularity : 0.16323
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,066 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, 03 August 2020 at 00:59 UTC.
The requested start date was Monday, 03 August 2020 at 00:01 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, 4-hour, 22-minute period from Tuesday, 21 July 2020 at 05:50 UTC to Sunday, 02 August 2020 at 10:13 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:
[1661] gt,gt [1644] unfpaghana,unfpa [1644] unfpa,unfpainnovation [1643] charlesabani,niyioju [1270] niyioju,hffg2001 [1127] cmghana,yamghana [1098] hffg2001,ppagghana [1097] unfpainnovation,charlesabani [823] ppagghana,mariestopes_gh [823] mariestopes_gh,cmghana Top Word Pairs in Tweet in G1:
[145] #healthcare,#mhealth [142] #telemedicine,#telehealth [141] #mhealth,#digitalhealth [94] #digitalhealth,#behavioralhealth [93] #behavioralhealth,#mentalhealth [89] #telehealth,#technology [88] #technology,#healthcare [64] mitchjean23,realtimetouch [58] #telehealth,#healthcare [51] #mentalhealth,#virtualhealth Top Word Pairs in Tweet in G2:
[604] gt,gt [121] covid,19 [105] gt,#digitalhealth [103] #mhealth,#hcsm [99] #digitalhealth,#mhealth [90] #hcsm,#hcsmeu [83] #telemedicine,#telehealth [82] #mhealth,#digitalhealth [62] #healthcare,#mhealth [59] read,more Top Word Pairs in Tweet in G3:
[228] enricomolinari,#ehealth [144] ty,mashable [143] mashable,enricomolinari [124] #ehealth,#medtech [88] ty,seeker [88] seeker,enricomolinari [87] #medtech,#mhealth [86] #ehealth,#mhealth [76] malaria,fighting [76] fighting,soap Top Word Pairs in Tweet in G4:
[1001] gt,gt [370] gt,#digitalhealth [275] #digitalhealth,#socialmedia [253] #socialmedia,#digitalmarketing [114] #digitalhealth,#mhealth [111] #telemedicine,#telehealth [100] #healthtech,#medtech [97] #healthit,#healthtech [96] #mhealth,#digitalhealth [87] #medtech,#mhealth Top Word Pairs in Tweet in G5:
[1624] unfpaghana,unfpa [1624] unfpa,unfpainnovation [1623] charlesabani,niyioju [1254] niyioju,hffg2001 [1112] cmghana,yamghana [1087] hffg2001,ppagghana [1086] unfpainnovation,charlesabani [813] ppagghana,mariestopes_gh [813] mariestopes_gh,cmghana [538] unfpainnovation,uninghana Top Word Pairs in Tweet in G6:
[70] jmir,mhealth [26] jmirpub,jmir [24] physical,activity [22] smartphone,apps [22] people,rheumatoid [21] activity,people [16] jmirpub,mhealth [16] mhealth,uhealth [13] #mobile,#health [13] rheumatoid,arthritis Top Word Pairs in Tweet in G7:
[10] mhealth,market [7] mhealth,apps [6] randomized,controlled [6] controlled,trial [6] mobile,health [6] #mobilehealth,mhealth [5] health,mhealth [5] telehealth,mhealth [5] fore,grants [5] grants,target Top Word Pairs in Tweet in G8:
[20] health,apps [17] apps,assessment [17] assessment,frameworks [13] report,health [13] digital,divide [11] divide,reinforces [11] reinforces,socioeconomic [11] socioeconomic,divides [11] divides,uhc [11] uhc,education Top Word Pairs in Tweet in G9:
[18] big,pharma [17] july,27 [16] 27,webinar [16] webinar,co [16] co,xzfbcxbiew [16] xzfbcxbiew,covid [16] covid,transformed [16] transformed,big [16] pharma,public [16] public,enemy Top Word Pairs in Tweet in G10:
[48] gt,gt [9] gt,#digitalhealth [9] group,accelerator [9] accelerator,programme [9] programme,looking [9] looking,co [9] co,create [9] create,digital [9] digital,endpoints [9] mobile,app 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 G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: