The graph represents a network of 1,668 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, 07 March 2022 at 02:45 UTC.
The requested start date was Monday, 07 March 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 11-day, 10-hour, 25-minute period from Monday, 21 February 2022 at 01:50 UTC to Friday, 04 March 2022 at 12:15 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 : 1668
Unique Edges : 1600
Edges With Duplicates : 7435
Total Edges : 9035
Number of Edge Types : 5
Mentions : 1176
MentionsInRetweet : 4144
Retweet : 2795
Tweet : 863
Replies to : 57
Self-Loops : 918
Reciprocated Vertex Pair Ratio : 0.0558875219683656
Reciprocated Edge Ratio : 0.105858854860186
Connected Components : 153
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 1169
Maximum Edges in a Connected Component : 8094
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.54889
Graph Density : 0.00108035946767481
Modularity : 0.278107
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,668 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, 07 March 2022 at 02:45 UTC.
The requested start date was Monday, 07 March 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 11-day, 10-hour, 25-minute period from Monday, 21 February 2022 at 01:50 UTC to Friday, 04 March 2022 at 12:15 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:
[646] #digitalhealth,#socialmedia [325] #socialmedia,#digitalmarketing [242] gt,gt [189] #iot,#iiot [156] #ehealth,#mhealth [143] gave,kred [143] kred,#influence [113] #analytics,#machinelearning [112] #machinelearning,#ai [112] #ai,#python Top Word Pairs in Tweet in G1:
[173] #iot,#iiot [134] #digitalhealth,#socialmedia [121] gave,kred [121] kred,#influence [116] #ehealth,#mhealth [110] #analytics,#machinelearning [109] #machinelearning,#ai [109] #ai,#python [101] power,medical [101] medical,device Top Word Pairs in Tweet in G2:
[90] #digitalhealth,#socialmedia [71] #mhealth,#hcsm [64] #hcsm,#hcsmeu [43] #mhealth,#digitalhealth [40] gt,gt [39] digital,health [31] #socialmedia,#digitalmarketing [28] find,more [26] #ehealth,#mhealth [22] eli_krumova,gave Top Word Pairs in Tweet in G3:
[422] #digitalhealth,#socialmedia [251] #socialmedia,#digitalmarketing [154] gt,gt [53] #iot,#healthtech [50] #digitalmarketing,#ai [49] #ai,#healthtech [47] #mhealth,#iot [46] #ai,#iot [46] #mhealth,#ai [45] gt,#digitalhealth Top Word Pairs in Tweet in G4:
[81] psycle44,拡散希望 [70] 拡散希望,クラウドファンディングへのチャレンジを3月1日から開始いたします [70] クラウドファンディングへのチャレンジを3月1日から開始いたします,皆様に安全安心にメンタルヘルスのアプリを選択してもらえるように [70] 皆様に安全安心にメンタルヘルスのアプリを選択してもらえるように,アプリの特徴や質を評価する項目を整備するための翻訳 [70] アプリの特徴や質を評価する項目を整備するための翻訳,調査のための研究費にご支援をいただけましたら幸いです [32] #クラウドファンディング,#readyfor [30] #大阪大学,#メンタルヘルス [24] #readyfor,#大阪大学 [13] 拡散希望,クラファンスタートいたしました [13] クラファンスタートいたしました,皆様に安全安心にメンタルヘルスのアプリを選択してもらえるように Top Word Pairs in Tweet in G5:
[92] jmirpub,jmir [88] jmir,mhealth [70] mhealth,continuous [70] continuous,noninvasive [70] noninvasive,remote [70] remote,automated [70] automated,blood [70] blood,pressure [70] pressure,monitoring [70] monitoring,novel Top Word Pairs in Tweet in G6:
[64] 24,02 [64] movistarcentre,streaming [64] streaming,fundacionisys [64] camfic,ehealthuoc [62] fundacionisys,camfic [53] jueves,24 [35] bcn,conference [32] mhealth,bcn [31] valor,#mhealth [25] 45h,movistarcentre Top Word Pairs in Tweet in G7:
[12] #mhealth,#mobilehealth [12] #hubtalks2022,#europeanmhealthhub [11] #europeanmhealthhub,#mhealth [10] january,#europeanmhealthhub [10] #europeanmhealthhub,held [10] held,workshop [9] czech,republic [9] knowledge,tool [8] last,#hubtalks2022 [7] open,source Top Word Pairs in Tweet in G8:
[48] opiáceos,co [48] sbr,#mhealth [48] #mhealth,gracias [48] gracias,leer [40] co,iy7rp26fpb [40] iy7rp26fpb,xa [38] xa,consalud_es [38] consalud_es,sbr [34] dralfonsovidal,opiáceos [31] #menorcapainforum2022,#mhealth Top Word Pairs in Tweet in G9:
[8] mhealth,market [7] mhealth,apps [5] #digitalhealth,#mhealth [4] mhealth,app [3] #mhealth,#healthcare [3] market,size [3] #mhealth,#digitalhealth [3] cross,sectional [3] revolutionize,mhealth [2] #health,#healthcare Top Word Pairs in Tweet in G10:
[13] link,#ehr [13] #ehr,#healthcare [13] #healthcare,#emr [13] #emr,#healthcareit [12] latest,mhealth [12] mhealth,daily [12] daily,thanks [5] mhealth,read [5] reading,article [5] article,link Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: