The graph represents a network of 1,365 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, 19 September 2022 at 02:05 UTC.
The requested start date was Monday, 19 September 2022 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 11-day, 11-hour, 36-minute period from Monday, 05 September 2022 at 00:17 UTC to Friday, 16 September 2022 at 11:54 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 : 1365
Unique Edges : 898
Edges With Duplicates : 7309
Total Edges : 8207
Number of Edge Types : 5
MentionsInRetweet : 3733
Mentions : 753
Retweet : 2740
Tweet : 917
Replies to : 64
Self-Loops : 973
Reciprocated Vertex Pair Ratio : 0.0422976501305483
Reciprocated Edge Ratio : 0.0811623246492986
Connected Components : 137
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 700
Maximum Edges in a Connected Component : 7049
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.35444
Graph Density : 0.00107204623333656
Modularity : 0.212623
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,365 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, 19 September 2022 at 02:05 UTC.
The requested start date was Monday, 19 September 2022 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 11-day, 11-hour, 36-minute period from Monday, 05 September 2022 at 00:17 UTC to Friday, 16 September 2022 at 11:54 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:
[694] #digitalhealth,#socialmedia [308] gt,gt [291] #socialmedia,#digitalmarketing [264] rooms,booked [264] booked,solidly [264] solidly,months [264] months,15 [264] 15,20 [264] 20,patients [264] patients,expecting Top Word Pairs in Tweet in G1:
[263] rooms,booked [263] booked,solidly [263] solidly,months [263] months,15 [263] 15,20 [263] 20,patients [263] patients,expecting [263] expecting,sept [263] sept,22 [263] 22,waited Top Word Pairs in Tweet in G2:
[79] app,gives [73] gives,tools [73] tools,help [73] help,manage [63] manage,#urges [60] #digitalhealth,#socialmedia [57] #recoverme,app [48] #urges,#support [47] #mhealth,#hcsm [47] available,download Top Word Pairs in Tweet in G3:
[139] #telehealth,#telemedicine [134] #ehealth,#mhealth [114] #digitalhealth,#wearables [108] wearablesexpert,talks [101] #wearables,series [96] series,wearablesexpert [88] #mhealth,#digitalhealth [86] #digitalhealth,#socialmedia [82] gt,gt [73] future,healthcare Top Word Pairs in Tweet in G4:
[509] #digitalhealth,#socialmedia [246] #socialmedia,#digitalmarketing [162] gt,gt [57] gt,#digitalhealth [47] #mhealth,#healthtech [47] #ai,#mhealth [46] #iot,#mhealth [45] #ai,#iot [43] #healthtech,#ai [43] #digitalmarketing,#ai Top Word Pairs in Tweet in G5:
[11] #,# [9] mhealth,apps [7] elon,musk [7] musk,combining [6] salveo,innovations [6] innovations,mhealth [6] mhealth,application [6] application,gives [6] gives,patients [6] patients,greater Top Word Pairs in Tweet in G6:
[54] gave,kred [54] kred,#influence [54] #iot,#iiot [41] eli_krumova,gave [39] #iiot,#iotpl [39] fabricated,skin [39] skin,sensor [39] chip,free [39] free,wireless [39] transmit,signal Top Word Pairs in Tweet in G7:
[7] nmarrouche,mekhaelmario [7] mekhaelmario,biostrap [7] biostrap,tulanetriad [7] tulanetriad,absolutely [7] absolutely,very [7] very,important [7] important,topic [7] topic,see [7] see,data [7] data,#mhealth Top Word Pairs in Tweet in G8:
[8] covid,19 [8] mental,health [7] âž,register [7] register,covid [7] 19,severely [7] severely,impacted [7] impacted,children's [7] children's,mental [7] health,schools [7] schools,boost_mhealth Top Word Pairs in Tweet in G9:
[15] jmir,mhealth [14] jmirpub,jmir [7] scoping,review [7] jmir,formative [7] formative,res [6] #mobile,#health [5] use,older [4] #wearable,devices [4] type,diabetes [4] mhealth,intersection Top Word Pairs in Tweet in G10:
[4] nurses,using [3] lots,mhealth [3] mhealth,apps [3] apps,lots [3] lots,evidence [3] evidence,re [3] re,experience [3] experience,nurses [3] using,check [2] emmaradlady,lots Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G4:
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Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: