The graph represents a network of 4,124 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, 04 February 2022 at 23:46 UTC.
The requested start date was Friday, 04 February 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 4-day, 21-hour, 8-minute period from Sunday, 30 January 2022 at 03:51 UTC to Friday, 04 February 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 : 4124
Unique Edges : 4379
Edges With Duplicates : 12369
Total Edges : 16748
Number of Edge Types : 5
Retweet : 4805
MentionsInRetweet : 7482
Tweet : 1758
Mentions : 2559
Replies to : 144
Self-Loops : 1890
Reciprocated Vertex Pair Ratio : 0.049645390070922
Reciprocated Edge Ratio : 0.0945945945945946
Connected Components : 544
Single-Vertex Connected Components : 267
Maximum Vertices in a Connected Component : 2867
Maximum Edges in a Connected Component : 14778
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.76801
Graph Density : 0.000426506647081394
Modularity : 0.366079
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,124 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, 04 February 2022 at 23:46 UTC.
The requested start date was Friday, 04 February 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 4-day, 21-hour, 8-minute period from Sunday, 30 January 2022 at 03:51 UTC to Friday, 04 February 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:
[597] digital,health [441] #digitalhealth,#socialmedia [398] #analytics,#datascience [335] #datascience,#ai [277] #bigdata,#analytics [271] #ai,#pytorch [220] #digitalhealth,#digital [203] #digital,#digitalhealth [196] #digital,#health [192] #datascience,#data Top Word Pairs in Tweet in G1:
[428] #digitalhealth,#socialmedia [378] #analytics,#datascience [319] #datascience,#ai [262] #bigdata,#analytics [258] #ai,#pytorch [211] #digitalhealth,#digital [192] #digital,#health [189] #datascience,#data [174] #socialmedia,#digitalmarketing [168] #digital,#digitalhealth Top Word Pairs in Tweet in G2:
[182] digital,health [76] #healthcare,#digitalhealth [59] #ehealth,#healthcare [55] #digitalhealth,#ehealth [55] #healthcareit,#ehealth [50] #health,#healthcareit [35] #digitalhealth,#healthcare [30] #digitalhealth,#wearables [28] #telehealth,#telemedicine [26] #wearables,series Top Word Pairs in Tweet in G3:
[37] digital,health [17] #digital,#digitalhealth [13] #digitalhealth,#health [11] #health,#digitalhealth [10] health,care [10] #healthcare,#digitalhealth [10] remote,patient [9] #digitalhealth,#healthtech [9] #healthtech,#digitalhealth [8] #digitalhealth,#healthcare Top Word Pairs in Tweet in G4:
[16] digital,health [15] #hitsm,#digitalhealth [14] 2022,#obioinvestmentsummit [14] #obioinvestmentsummit,around [14] around,corner [14] corner,calling [14] calling,investors [14] investors,register [10] obioscience,2022 [10] register,view Top Word Pairs in Tweet in G5:
[19] health,data [16] conference,citizenship [16] citizenship,ethics [15] fast,track [14] accelerating,innovations [14] innovations,democratize [14] democratize,primary [14] primary,healthcare [14] healthcare,access [14] access,india Top Word Pairs in Tweet in G6:
[57] digital,health [41] scotland's,digital [41] health,day [24] #scotlandisnow,#digitalhealth [15] researchers,plymunihealth [15] plymunihealth,plymunicht [15] plymunicht,launched [15] launched,free [15] free,online [15] online,learning Top Word Pairs in Tweet in G7:
[12] #aatmanirbharbharatkabudget,strengthening [12] strengthening,#digitalhealth [12] #digitalhealth,ecosystem [12] ecosystem,country [12] country,govt's [12] govt's,priority [12] priority,steps [11] _digitalindia,#aatmanirbharbharatkabudget [10] #themedicalfuturist,#digitalhealth [7] #digitalhealth,#future Top Word Pairs in Tweet in G8:
[37] opening,postdocs [37] postdocs,work [37] work,addictions [37] addictions,research [37] research,institute [37] institute,utaustin [37] utaustin,focus [37] focus,#overdose [37] #overdose,prevention [36] kaseyclabornphd,opening Top Word Pairs in Tweet in G9:
[19] #healthcare,sector's [19] sector's,#cybersecurity [19] #cybersecurity,threats [19] threats,themanilatimes [19] themanilatimes,davidpollardirl [19] davidpollardirl,drianweissman [16] stratorob,#healthcare [16] drianweissman,hein [9] #healthtech,#digitalhealth [9] #digitalhealth,#fintech Top Word Pairs in Tweet in G10:
[10] a1,#digitalempathy [10] #digitalempathy,ability [10] ability,connect [10] connect,person [10] person,end [10] end,screen [10] screen,chat [10] chat,phone [10] phone,way [9] jameyedwards,a1 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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