The graph represents a network of 4,079 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 March 2022 at 22:38 UTC.
The requested start date was Friday, 18 March 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 3-day, 8-hour, 44-minute period from Monday, 14 March 2022 at 15:15 UTC to Friday, 18 March 2022 at 00:00 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 : 4079
Unique Edges : 4056
Edges With Duplicates : 12652
Total Edges : 16708
Number of Edge Types : 5
Retweet : 4833
MentionsInRetweet : 7268
Mentions : 2920
Tweet : 1588
Replies to : 99
Self-Loops : 1719
Reciprocated Vertex Pair Ratio : 0.0633967789165447
Reciprocated Edge Ratio : 0.1192344761118
Connected Components : 398
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 2859
Maximum Edges in a Connected Component : 14795
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.355388
Graph Density : 0.000436631553786719
Modularity : 0.35268
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,079 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 March 2022 at 22:38 UTC.
The requested start date was Friday, 18 March 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 3-day, 8-hour, 44-minute period from Monday, 14 March 2022 at 15:15 UTC to Friday, 18 March 2022 at 00:00 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 : digitalhealth
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:
[484] digital,health [338] #ai,#python [322] know,more [321] kiwilemon,airdrop [321] airdrop,live [321] live,participate [319] kiwi_lemon_,kiwilemon [315] participate,perform [315] perform,following [315] following,tasks Top Word Pairs in Tweet in G1:
[155] digital,health [99] #dhpsp,#crbiotech [86] artificial,intelligence [85] #himss22,#digitalhealth [76] #crbiotech,#inpst [70] #healthcare,#digitalhealth [63] #ehealth,#digitalhealth [62] #healthtech,#digitalhealth [59] #ehealth,#healthcare [58] rafael52987,artificial Top Word Pairs in Tweet in G2:
[112] digital,health [85] #healthtech,#digitalhealth [82] apply,#healthtech [38] health,hiring [35] #digitalhealth,#nhs [33] learn,more [27] united,states [26] #rewired22,#digitalhealth [25] looking,forward [25] states,apply Top Word Pairs in Tweet in G3:
[318] #ai,#python [207] #digitalhealth,#socialmedia [160] #flutter,#serverless [158] #reactjs,#iot [146] #python,#reactjs [140] #digitalhealth,#digital [133] #serverless,#php [128] #digital,#health [123] #python,#flutter [120] #python,#programming Top Word Pairs in Tweet in G4:
[321] kiwilemon,airdrop [321] airdrop,live [321] live,participate [319] kiwi_lemon_,kiwilemon [318] know,more [315] participate,perform [315] perform,following [315] following,tasks [315] tasks,kiwilemonairdropbot [315] kiwilemonairdropbot,know Top Word Pairs in Tweet in G5:
[23] digital,health [16] learn,more [10] read,more [10] #healthcare,#digitalhealth [9] #digitalhealth,#healthtech [7] #digital,#digitalhealth [6] #digitalhealth,#healthcare [5] #digitalhealth,#health [5] life,sciences [5] health,care Top Word Pairs in Tweet in G6:
[8] medical,devices [7] march,29 [7] 29,30 [7] digital,maturity [7] #himss22,#digitalhealth [6] #digitalhealth,#healthtech [6] join,privacydhsummit [6] privacydhsummit,medical [6] devices,#iomts [6] #iomts,wearables Top Word Pairs in Tweet in G7:
[27] guardian,online [26] #digitalhealth2022,launches [26] launches,today [26] today,distributed [26] distributed,inside [26] inside,guardian [26] online,featuring [23] #healthtech,#innovation [20] #digitalhealth,#healthtech [10] mediaplanetuk,#digitalhealth2022 Top Word Pairs in Tweet in G8:
[62] smart,eyewear [62] eyewear,adjusts [62] adjusts,vison [62] vison,automatically [62] automatically,gigadgets_ [62] gigadgets_,#iot [62] #iot,#wearables [62] #wearables,#smartglasses [62] #smartglasses,#iot [62] #iot,#healthtech Top Word Pairs in Tweet in G9:
[25] digital,health [11] week's,#techsigfeature [11] #techsigfeature,white [11] white,paper [11] paper,open [11] open,digital [11] health,accelerating [11] accelerating,transparent [11] transparent,scalable [11] scalable,health Top Word Pairs in Tweet in G10:
[30] booth,#4109 [24] #himss22,#digitalhealth [19] addison,virtual [19] virtual,caregiver [15] swing,booth [14] let's,talk [13] booth,4109 [11] #digitalhealth,#healthtech [10] still,time [10] team,start Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: