The graph represents a network of 1,602 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, 07 March 2022 at 06:26 UTC.
The requested start date was Monday, 07 March 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 3-day, 1-hour, 0-minute period from Tuesday, 01 March 2022 at 10:01 UTC to Friday, 04 March 2022 at 11:02 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 : 1602
Unique Edges : 1554
Edges With Duplicates : 13368
Total Edges : 14922
Number of Edge Types : 5
MentionsInRetweet : 4830
Mentions : 4113
Retweet : 5266
Tweet : 626
Replies to : 87
Self-Loops : 1959
Reciprocated Vertex Pair Ratio : 0.0407597942223981
Reciprocated Edge Ratio : 0.0783269961977186
Connected Components : 148
Single-Vertex Connected Components : 74
Maximum Vertices in a Connected Component : 1213
Maximum Edges in a Connected Component : 14228
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.223493
Graph Density : 0.00102542028585442
Modularity : 0.153331
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,602 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, 07 March 2022 at 06:26 UTC.
The requested start date was Monday, 07 March 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 3-day, 1-hour, 0-minute period from Tuesday, 01 March 2022 at 10:01 UTC to Friday, 04 March 2022 at 11:02 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:
[5434] #women,#ehealth [5416] #ces2023,#finserv [5402] #finserv,#fashiontech [5362] #ehealth,#ces2023 [5349] #datascientist,#cloud [5284] #cx,#women [5208] #mwc22,#cx [3680] #cloud,#digital [3673] #digital,#mwc22 [3614] #fashiontech,#insur Top Word Pairs in Tweet in G1:
[194] #women,#ehealth [193] #ces2023,#finserv [192] #finserv,#fashiontech [191] #datascientist,#cloud [191] #ehealth,#ces2023 [184] #cx,#women [182] #mwc22,#cx [170] #fashiontech,#insur [135] #cloud,#digital [135] #digital,#mwc22 Top Word Pairs in Tweet in G2:
[4306] #women,#ehealth [4296] #ces2023,#finserv [4284] #finserv,#fashiontech [4258] #ehealth,#ces2023 [4248] #datascientist,#cloud [4188] #cx,#women [4141] #mwc22,#cx [2876] #cloud,#digital [2871] #digital,#mwc22 [2607] #fashiontech,#insur Top Word Pairs in Tweet in G3:
[854] #women,#ehealth [850] #ces2023,#finserv [847] #finserv,#fashiontech [843] #ehealth,#ces2023 [840] #datascientist,#cloud [833] #cx,#women [816] #mwc22,#cx [771] #fashiontech,#insur [626] chidambara09,#datascientist [622] #cloud,#digital Top Word Pairs in Tweet in G4:
[9] cdcgov,cdc_ehealth [8] cdc_ehealth,cdcglobal [7] cdcgov,us_fda [7] us_fda,cdcesports [7] cdcesports,cdcespanol [7] cdcespanol,cdcdirector [7] cdcdirector,fdaenespanol [7] fdaenespanol,cdcemergency [7] cdcemergency,potus [7] potus,vp Top Word Pairs in Tweet in G5:
[16] ehealth,inc [11] ehth,ehealth [8] 2021,results [7] ehealth,ehth [6] announces,fourth [6] fourth,quarter [6] quarter,fiscal [6] fiscal,year [6] year,2021 [6] below,consensus Top Word Pairs in Tweet in G6:
[68] #women,#ehealth [68] #finserv,#fashiontech [67] #cx,#women [65] #datascientist,#cloud [65] #ehealth,#ces2023 [65] #ces2023,#finserv [64] #mwc22,#cx [62] #fashiontech,#insur [42] chidambara09,#datascientist [42] #cloud,#digital Top Word Pairs in Tweet in G7:
[10] find,more [7] #reminder,next [7] next,#snomed [7] #snomed,webinar [7] click,join [7] join,directly [7] directly,microsoft [7] microsoft,teams [7] check,careers [7] ehealthireland,#hiring Top Word Pairs in Tweet in G8:
[10] #digital,#ehealth [10] #cx,#women [10] #women,#ehealth [10] #ces2023,#finserv [9] #frenchtech,#digital [9] #finserv,#fashiontech [8] price,target [7] #mwc22,#dhws22 [7] chidambara09,#frenchtech [7] #frenchtech,#datascientist Top Word Pairs in Tweet in G9:
[9] telemedicine,envisioned [9] envisioned,jetsons [9] jetsons,1962 [9] 1962,#mwc22 [9] #mwc22,#health [9] #health,#healthcare [9] #healthcare,#telemedicine [9] #telemedicine,irmaraste [9] irmaraste,#telehealth [8] jimharris,telemedicine Top Word Pairs in Tweet in G10:
[5] 9m,tender [4] 60,companies [4] companies,joined [4] joined,rosia's [4] rosia's,matchmaking [4] matchmaking,platform [4] platform,single [4] single,company [4] company,meet [4] meet,rosia's Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: