The graph represents a network of 2,654 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, 04 April 2022 at 05:27 UTC.
The requested start date was Monday, 04 April 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 6-day, 19-hour, 19-minute period from Sunday, 27 March 2022 at 15:59 UTC to Sunday, 03 April 2022 at 11:18 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 : 2654
Unique Edges : 2755
Edges With Duplicates : 13437
Total Edges : 16192
Number of Edge Types : 5
Retweet : 5123
MentionsInRetweet : 5915
Replies to : 161
Mentions : 3905
Tweet : 1088
Self-Loops : 1914
Reciprocated Vertex Pair Ratio : 0.0502978160158835
Reciprocated Edge Ratio : 0.0957781978575929
Connected Components : 216
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 2158
Maximum Edges in a Connected Component : 15470
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.548384
Graph Density : 0.000676176406343248
Modularity : 0.247149
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,654 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, 04 April 2022 at 05:27 UTC.
The requested start date was Monday, 04 April 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 6-day, 19-hour, 19-minute period from Sunday, 27 March 2022 at 15:59 UTC to Sunday, 03 April 2022 at 11:18 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:
[2843] #women,#ehealth [2790] #cx,#women [2755] #ehealth,#ces2023 [2479] #healthtech,#datascientist [2412] #ces2023,#finserv [2088] #digitalhealth,#cloud [1719] chidambara09,#healthtech [1400] #usa,#cx [1267] #datascientist,#digitalhealth [1033] #cloud,#usa Top Word Pairs in Tweet in G1:
[2727] #women,#ehealth [2677] #cx,#women [2643] #ehealth,#ces2023 [2384] #healthtech,#datascientist [2325] #ces2023,#finserv [2001] #digitalhealth,#cloud [1634] chidambara09,#healthtech [1363] #usa,#cx [1220] #datascientist,#digitalhealth [1008] #cloud,#usa Top Word Pairs in Tweet in G2:
[112] #women,#ehealth [109] #cx,#women [108] #ehealth,#ces2023 [91] #healthtech,#datascientist [86] #ces2023,#finserv [83] #digitalhealth,#cloud [82] chidambara09,#healthtech [62] #ehealth,#health [49] #ehealth,#digital [44] #digitalhealth,#digital Top Word Pairs in Tweet in G3:
[12] cdc_ehealth,cdcglobal [10] cdcgov,us_fda [10] us_fda,cdcesports [10] cdcesports,cdcespanol [10] cdcespanol,cdcdirector [10] cdcdirector,fdaenespanol [10] fdaenespanol,cdcemergency [10] cdcemergency,potus [10] potus,vp [10] vp,oms_es Top Word Pairs in Tweet in G4:
[27] prominent,use [27] use,cases [27] cases,#metaverse [16] #finsevr,#ai [16] #ai,#edtech [16] #edtech,#govtech [16] #govtech,#ehealth [15] #metaverse,citi [15] citi,enricomolinari [15] enricomolinari,#insurtech Top Word Pairs in Tweet in G5:
[161] taking,india [161] india,ehealth [161] ehealth,journey [161] journey,forward [161] forward,esanjeevani [161] esanjeevani,touches [161] touches,milestone [161] milestone,crore [161] crore,tele [161] tele,consultations Top Word Pairs in Tweet in G6:
[140] taking,india [140] india,ehealth [140] ehealth,journey [140] journey,forward [140] forward,esanjeevani [140] esanjeevani,touches [140] touches,milestone [140] milestone,crore [140] crore,tele [140] tele,consultations Top Word Pairs in Tweet in G7:
[53] digital,health [21] eu_health,ehealth_eu [20] sip_painpolicy,pain_europe [20] pain_europe,efic_org [20] efic_org,eu_health [18] reduce,societal [17] sap,coe [16] health,event [15] #data,everywhere [15] everywhere,around Top Word Pairs in Tweet in G8:
[22] taking,india [22] india,ehealth [22] ehealth,journey [22] journey,forward [22] forward,esanjeevani [22] esanjeevani,touches [22] touches,milestone [22] milestone,crore [22] crore,tele [22] tele,consultations Top Word Pairs in Tweet in G9:
[11] ehealth,inc [7] digital,health [7] announces,inducement [7] inducement,grants [7] grants,under [7] under,nasdaq [7] nasdaq,listing [7] listing,rule [7] rule,5635 [6] inc,announces Top Word Pairs in Tweet in G10:
[5] vaccines,india [4] mental,health [3] medication,coming [3] coming,tigray [3] tigray,sufficient [3] sufficient,#allowaccesstotigray [3] #allowaccesstotigray,msf_eastafrica [3] msf_eastafrica,worldbank [3] worldbank,unicef [3] ehealthdc,healthglobal 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 G7:
Top Replied-To in G8:
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: