The graph represents a network of 3,004 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, 23 May 2022 at 05:32 UTC.
The requested start date was Monday, 23 May 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 9-day, 11-hour, 58-minute period from Thursday, 12 May 2022 at 23:17 UTC to Sunday, 22 May 2022 at 11:15 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 : 3004
Unique Edges : 3616
Edges With Duplicates : 14305
Total Edges : 17921
Number of Edge Types : 5
Retweet : 5045
MentionsInRetweet : 7213
Tweet : 956
Mentions : 4432
Replies to : 275
Self-Loops : 1695
Reciprocated Vertex Pair Ratio : 0.039383861368808
Reciprocated Edge Ratio : 0.0757830919501516
Connected Components : 200
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 2527
Maximum Edges in a Connected Component : 17196
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.101062
Graph Density : 0.000658241004446064
Modularity : 0.264891
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,004 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, 23 May 2022 at 05:32 UTC.
The requested start date was Monday, 23 May 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 9-day, 11-hour, 58-minute period from Thursday, 12 May 2022 at 23:17 UTC to Sunday, 22 May 2022 at 11:15 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:
[2231] #cx,#women [2216] #women,#ehealth [2199] #ehealth,#ces2023 [2139] #healthtech,#datascientist [1999] #ai,#digitalhealth [1726] #datascientist,#mwc22 [1653] #mwc22,#ai [1488] #digitalhealth,#startups [1488] #startups,#cx [1397] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1938] #cx,#women [1928] #women,#ehealth [1916] #ehealth,#ces2023 [1870] #healthtech,#datascientist [1751] #ai,#digitalhealth [1523] #datascientist,#mwc22 [1462] #mwc22,#ai [1318] #digitalhealth,#startups [1318] #startups,#cx [1156] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[164] #digitalhealth,#ehealth [112] #cx,#women [111] digital,health [110] #women,#ehealth [108] #ehealth,#ces2023 [104] #healthtech,#datascientist [101] #ehealth,#healthcare [97] #ai,#digitalhealth [96] #healthcare,#digitalhealth [95] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[181] #cx,#women [178] #women,#ehealth [175] #ehealth,#ces2023 [165] #healthtech,#datascientist [150] #ai,#digitalhealth [146] chidambara09,#healthtech [127] #datascientist,#mwc22 [118] #mwc22,#ai [101] #digitalhealth,#startups [101] #startups,#cx Top Word Pairs in Tweet in G4:
[21] cdc_ehealth,cdcglobal [16] cdcgov,cdc_ehealth [14] nurses_union,ugandamedical [14] need,legal [14] legal,teams [14] teams,see [14] see,ugandans [14] ugandans,care [14] care,health [14] health,care Top Word Pairs in Tweet in G5:
[31] ehealth,boondoggle [30] nurses,fired [30] fired,ehealth [30] boondoggle,lhin [30] lhin,ccac [29] ccac,failures [26] gas,plants [26] ttps,slideshare [26] slideshare,net [26] net,paulyoungcga Top Word Pairs in Tweet in G6:
[15] #digitalhealth,event [14] digital,health [14] convocatòria,participació [14] participació,#xpatient22 [14] millors,iniciatives [14] iniciatives,mètodes [11] euregha,micheclb [11] micheclb,boost_mhealth [11] boost_mhealth,giovannigorgoni [11] giovannigorgoni,aquascat Top Word Pairs in Tweet in G7:
[12] ehealth,technologies [11] assuming,appointed [11] appointed,business [11] business,development [11] development,manager [11] manager,country [11] country,government [11] government,health [11] health,department [11] department,health Top Word Pairs in Tweet in G8:
[21] 12,nationalen [17] nationalen,fachkongress [13] fachkongress,#telemedizin [13] wunsch,wirklichkeit [13] wirklichkeit,offenbar [13] offenbar,entpuppt [13] entpuppt,#erezept [13] #erezept,enthusiamus [13] enthusiamus,realsatire [13] realsatire,die Top Word Pairs in Tweet in G9:
[8] ict,programme [8] programme,manager [8] manager,telehealth [8] telehealth,julie [8] julie,bellew [8] bellew,spoke [8] spoke,great [8] great,work [8] work,ehealthireland [8] ehealthireland,delivering Top Word Pairs in Tweet in G10:
[8] smart,hospitals [4] find,more [4] more,epic [4] epic,challenge [4] challenge,fund [4] fund,fund [4] fund,manager [4] manager,ben [4] ben,hugill [4] hugill,walk Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: