The graph represents a network of 5,567 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 September 2020 at 22:40 UTC.
The requested start date was Friday, 18 September 2020 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 6-day, 7-hour, 52-minute period from Friday, 11 September 2020 at 16:06 UTC to Thursday, 17 September 2020 at 23:58 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 : 5567
Unique Edges : 5152
Edges With Duplicates : 10796
Total Edges : 15948
Number of Edge Types : 5
Mentions : 3292
Retweet : 4168
MentionsInRetweet : 6180
Tweet : 2165
Replies to : 143
Self-Loops : 2292
Reciprocated Vertex Pair Ratio : 0.0563880126182965
Reciprocated Edge Ratio : 0.10675625233296
Connected Components : 806
Single-Vertex Connected Components : 378
Maximum Vertices in a Connected Component : 3586
Maximum Edges in a Connected Component : 12690
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.912598
Graph Density : 0.00025937585462198
Modularity : 0.459349
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,567 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 September 2020 at 22:40 UTC.
The requested start date was Friday, 18 September 2020 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 6-day, 7-hour, 52-minute period from Friday, 11 September 2020 at 16:06 UTC to Thursday, 17 September 2020 at 23:58 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:
[1032] gt,gt [592] digital,health [313] covid,19 [307] gt,#digitalhealth [177] #digitalhealth,#digital [174] #healthtech,#digitalhealth [172] #digitalhealth,#socialmedia [159] #digital,#health [154] digital,medicine [146] #healthcare,#digitalhealth Top Word Pairs in Tweet in G1:
[80] gt,gt [72] digital,health [50] covid,19 [49] placing,older [49] older,model [49] model,mainstream [49] mainstream,price [49] price,point [49] point,apple [49] apple,putting Top Word Pairs in Tweet in G2:
[921] gt,gt [285] gt,#digitalhealth [162] #digitalhealth,#socialmedia [139] #digitalhealth,#digital [138] covid,19 [137] #socialmedia,#digitalmarketing [129] #digital,#health [91] digital,health [61] #telehealth,#telemedicine [60] #healthcare,#mentalhealth Top Word Pairs in Tweet in G3:
[44] #healthcare,#digitalhealth [34] digital,health [28] #healthtech,#digitalhealth [21] #lyfebulb,#healthcare [20] #digital,#digitalhealth [18] #digitalhealth,#health [16] #digitalhealth,#healthtech [15] learn,more [15] covid,19 [15] ask,nhs Top Word Pairs in Tweet in G4:
[71] immunity,passports [71] plans,ramp [70] passports,form [70] form,part [70] part,governments [70] governments,plans [67] documents,seen [67] seen,bmj [67] bmj,revealed [67] revealed,immunity Top Word Pairs in Tweet in G5:
[15] himss,digital [15] health,systems [14] awarded,stage [13] digital,health [12] michaelgaspar,himss [12] digital,influencers [12] influencers,keep [12] keep,#healthcareinnovation [12] #healthcareinnovation,conversations [12] conversations,moving Top Word Pairs in Tweet in G6:
[19] #healthcare,#podcast [18] #podcast,#digitalhealth [13] digital,health [13] discuss,teladoc [11] shot,#digitalhealth [11] #digitalhealth,therapy [10] #healthcarepodcast,#healthcare [10] #digitalhealth,#telemedicine [9] #digitalhealth,awards [8] bob,matthews Top Word Pairs in Tweet in G7:
[16] effectiveness,#digitalhealth [15] delighted,share [15] share,findings [15] findings,work [15] work,today [15] today,factors [15] factors,influencing [15] influencing,uptake [15] uptake,engagement [15] engagement,#health Top Word Pairs in Tweet in G8:
[133] next,gen [133] gen,digital [133] digital,medicine [133] medicine,3d [133] 3d,holographic [133] holographic,demonstration [133] demonstration,arterial [133] arterial,skin [133] skin,blood [133] blood,vessels Top Word Pairs in Tweet in G9:
[10] rock_health,summit [10] top,news [8] #medtech,#digitalhealth [8] dhealthldn,top [8] news,congrats [8] congrats,#htn [8] #htn,2020 [8] 2020,awards [8] awards,finalists [8] finalists,accurx Top Word Pairs in Tweet in G10:
[24] young,people [23] call,applications [23] applications,young [23] people,under [23] under,age [23] age,35 [23] 35,strong [23] strong,presence [23] presence,youth [23] youth,networks 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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: