The graph represents a network of 2,132 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 January 2022 at 06:31 UTC.
The requested start date was Monday, 10 January 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, 12-hour, 26-minute period from Tuesday, 04 January 2022 at 22:43 UTC to Sunday, 09 January 2022 at 11:10 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 : 2132
Unique Edges : 2372
Edges With Duplicates : 15596
Total Edges : 17968
Number of Edge Types : 5
Retweet : 5412
MentionsInRetweet : 6263
Mentions : 5111
Tweet : 965
Replies to : 217
Self-Loops : 1718
Reciprocated Vertex Pair Ratio : 0.0399079048349962
Reciprocated Edge Ratio : 0.0767527675276753
Connected Components : 163
Single-Vertex Connected Components : 74
Maximum Vertices in a Connected Component : 1709
Maximum Edges in a Connected Component : 17348
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.254499
Graph Density : 0.000894725674686989
Modularity : 0.188923
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,132 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 January 2022 at 06:31 UTC.
The requested start date was Monday, 10 January 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, 12-hour, 26-minute period from Tuesday, 04 January 2022 at 22:43 UTC to Sunday, 09 January 2022 at 11:10 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 : ehealth
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:
[3792] #cx,#women [3785] #women,#ehealth [3630] #finserv,#fashiontech [3612] #digital,#cx [3518] #datascientist,#digital [3443] #fashiontech,#insurtech [3359] #ai,#finserv [3353] #ehealth,#datascience [3306] #datascience,#ai [2496] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[3752] #cx,#women [3745] #women,#ehealth [3596] #finserv,#fashiontech [3572] #digital,#cx [3479] #datascientist,#digital [3409] #fashiontech,#insurtech [3327] #ai,#finserv [3320] #ehealth,#datascience [3219] #datascience,#ai [2461] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[45] #digital,#ehealth [43] potus,vp [39] #frenchtech,#digital [38] digital,health [36] cdcgov,us_fda [36] us_fda,cdcesports [36] cdcesports,cdcespanol [36] cdcespanol,cdcdirector [36] cdcdirector,fdaenespanol [36] fdaenespanol,cdcemergency Top Word Pairs in Tweet in G3:
[65] #datascience,#ai [54] structured,problem [54] problem,solving [54] solving,process [54] process,gt [54] gt,describe [54] describe,gt [54] gt,identify [54] identify,gt [54] gt,evaluate Top Word Pairs in Tweet in G4:
[45] matt,anderson [33] ehealth,ontario [24] behind,ehealth [24] ontario,scandal [24] scandal,ontario [24] ontario,lost [24] lost,billion [20] anderson,behind [20] billion,aldasteinn [20] aldasteinn,brown Top Word Pairs in Tweet in G5:
[20] 13,lets [20] lets,focus [20] focus,#ehealth [20] #ehealth,#iota [20] #iota,global [20] global,market [20] market,size [20] size,internet [20] internet,things [20] things,#iot Top Word Pairs in Tweet in G6:
[7] clinical,trial [5] credit,suisse [4] ehealth,inc [4] digital,health [4] ehth,ehealth [3] #ehealth,#digital [3] ehealth,intervention [3] refresh,memory [3] ehth,credit [3] neutral,lowers Top Word Pairs in Tweet in G7:
[4] nycmayorsoffice,nycmayor [4] govkathyhochul,govmurphy [2] doctor,hpv [2] nycmayor,nycmayorsoffice [2] vaccines,save [2] save,lives Top Word Pairs in Tweet in G9:
[21] fda,cdc_ehealth [21] cdc_ehealth,cdcemergency [16] wews,wkyc [14] wkyc,cleveland19news [14] cbs,wews [13] nbc,abc [12] abc,cbs [11] msnbc,cnbc [9] onahunttoday,fda [9] cleveland19news,fox8news Top Word Pairs in Tweet in G10:
[26] refresh,memory [26] memory,#digitaleu [26] #digitaleu,policies [26] policies,#ai [26] #ai,#blockchain [26] #blockchain,#cybersecurity [26] #cybersecurity,#data [26] #data,#ehealth [26] #ehealth,#iot [25] digitaleu,refresh Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
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: