The graph represents a network of 3,675 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, 02 December 2022 at 23:20 UTC.
The requested start date was Friday, 02 December 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 6-day, 16-hour, 10-minute period from Friday, 25 November 2022 at 08:49 UTC to Friday, 02 December 2022 at 01:00 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 : 3675
Unique Edges : 3713
Edges With Duplicates : 12247
Total Edges : 15960
Number of Edge Types : 5
Mentions : 3015
Retweet : 4338
MentionsInRetweet : 6395
Tweet : 2128
Replies to : 84
Self-Loops : 2430
Reciprocated Vertex Pair Ratio : 0.0651752686277964
Reciprocated Edge Ratio : 0.122374731271705
Connected Components : 488
Single-Vertex Connected Components : 266
Maximum Vertices in a Connected Component : 2607
Maximum Edges in a Connected Component : 14336
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.470841
Graph Density : 0.000447861234858669
Modularity : 0.324116
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,675 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, 02 December 2022 at 23:20 UTC.
The requested start date was Friday, 02 December 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 6-day, 16-hour, 10-minute period from Friday, 25 November 2022 at 08:49 UTC to Friday, 02 December 2022 at 01:00 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:
[623] digital,health [529] #csuite,#digitalhealth [525] #cx,#ehealth [524] #digitalhealth,#web3 [523] #web3,#cx [523] #datascientist,#csuite [522] #ehealth,#finserv [496] #finserv,#cloud [435] #digital,#digitalhealth [366] #digitalhealth,#socialmedia Top Word Pairs in Tweet in G1:
[316] #digitalhealth,#socialmedia [267] #digital,#digitalhealth [213] #digitalhealth,#digital [206] #digitalhealth,#ehealth [152] #csuite,#digitalhealth [149] #socialmedia,#digitalmarketing [148] #datascientist,#csuite [148] #web3,#cx [148] #digitalhealth,#web3 [147] #ehealth,#finserv Top Word Pairs in Tweet in G2:
[373] #cx,#ehealth [373] #csuite,#digitalhealth [371] #ehealth,#finserv [371] #datascientist,#csuite [371] #web3,#cx [371] #digitalhealth,#web3 [354] #finserv,#cloud [232] #cloud,#insurtech [195] #healthtech,#smartcity [195] #smartcity,#datascientist Top Word Pairs in Tweet in G3:
[45] digital,health [21] learn,more [20] dental,emergency [20] ottawa,dental [13] #healthcare,#digitalhealth [13] #doctors,#medical [13] #hospital,#doctor [13] #doctor,#medicine [13] #medical,#health [13] #health,#hospital Top Word Pairs in Tweet in G4:
[70] #datascience,#python [52] #flutter,#serverless [45] #python,#rstats [44] #rstats,#reactjs [40] recover,account [40] #hack,recover [40] #health,#datascience [40] account,dm [38] digital,health [37] #digitalhealth,#health Top Word Pairs in Tweet in G5:
[35] full,story [30] digital,health [22] #digital,#digitalhealth [17] #digitalhealth,#health [16] #digitalhealth,#healthtech [16] #socialmedia,#digital [14] foundation,trust [14] nhs,foundation [13] health,care [13] berci,infographic Top Word Pairs in Tweet in G6:
[49] #machinelearning,#ai [47] #ai,#python [38] #5g,#machinelearning [38] #analytics,#5g [34] call,#analytics [34] develop,customized [34] price,call [34] low,price [34] #app,low [34] customized,#app Top Word Pairs in Tweet in G7:
[25] pay,12 [24] interest,free [24] 12,interest [22] free,installments [20] coincidentally,available [16] available,acquisition [13] #digitalhealth,#healthcare [13] #ruralhealth,#ruralhealthcare [11] #healthcare,#digitalhealth [10] ruraltelehealth,pay Top Word Pairs in Tweet in G8:
[9] records,halted [9] halted,eleventh [9] access,gp [9] automatic,roll [9] eleventh,hour [9] citizen,access [9] roll,citizen [9] gp,records [8] alarno,automatic [7] digital,health Top Word Pairs in Tweet in G9:
[41] glad,announce [36] speaker,#giant2022 [25] register,#digitalhealth [21] giant_health,glad [20] dec,register [20] #digitalhealth,#healthcare [18] #giant2022,dec [15] #giant2022,panel [15] thebdc,dec [13] giant,health Top Word Pairs in Tweet in G10:
[20] digital,health [13] chest,ray [12] health,companies [9] advertising,different [9] oathcare,forgoing [9] folxhealth,oathcare [9] companies,folxhealth [9] marketing,communities [9] different,way [9] forgoing,advertising Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: