The graph represents a network of 2,689 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 July 2022 at 05:37 UTC.
The requested start date was Monday, 04 July 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 8-day, 3-hour, 49-minute period from Saturday, 25 June 2022 at 07:29 UTC to Sunday, 03 July 2022 at 11:19 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 : 2689
Unique Edges : 3245
Edges With Duplicates : 14371
Total Edges : 17616
Number of Edge Types : 5
Retweet : 5105
MentionsInRetweet : 7172
Tweet : 839
Mentions : 4309
Replies to : 191
Self-Loops : 1670
Reciprocated Vertex Pair Ratio : 0.0414921964217739
Reciprocated Edge Ratio : 0.0796783625730994
Connected Components : 195
Single-Vertex Connected Components : 118
Maximum Vertices in a Connected Component : 2284
Maximum Edges in a Connected Component : 17024
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.004304
Graph Density : 0.000757052542102747
Modularity : 0.249421
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,689 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 July 2022 at 05:37 UTC.
The requested start date was Monday, 04 July 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 8-day, 3-hour, 49-minute period from Saturday, 25 June 2022 at 07:29 UTC to Sunday, 03 July 2022 at 11:19 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:
[2369] #digital,#digitalhealth [2351] #cx,#women [2350] #women,#ehealth [2346] #datascientist,#mwc22 [2342] #digitalhealth,#cx [2332] #healthtech,#datascientist [2318] #ehealth,#finserv [2314] #finserv,#bigdata [2299] #mwc22,#digital [1584] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1827] #digital,#digitalhealth [1822] #cx,#women [1822] #women,#ehealth [1819] #datascientist,#mwc22 [1815] #digitalhealth,#cx [1808] #healthtech,#datascientist [1804] #finserv,#bigdata [1797] #ehealth,#finserv [1777] #mwc22,#digital [1066] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[381] #cx,#women [380] #digitalhealth,#cx [380] #women,#ehealth [379] #datascientist,#mwc22 [377] #healthtech,#datascientist [377] #digital,#digitalhealth [376] #mwc22,#digital [374] #ehealth,#finserv [373] chidambara09,#healthtech [367] #finserv,#bigdata Top Word Pairs in Tweet in G3:
[164] #digital,#digitalhealth [147] #datascientist,#mwc22 [147] #cx,#women [147] #women,#ehealth [146] #healthtech,#datascientist [146] #digitalhealth,#cx [146] #ehealth,#finserv [145] #mwc22,#digital [144] chidambara09,#healthtech [142] #finserv,#bigdata Top Word Pairs in Tweet in G4:
[25] brecha,digital [21] sandraroblesp,gdt_inequidades [21] gdt_inequidades,#sevsemfyc [18] #inequidades,#brechadigital [18] #brechadigital,cocoopsi [17] carmesaperas,brecha [16] potenciar,ehealth [15] #sevsemfyc,#ehealth [15] #ehealth,#inequidades [15] cocoopsi,sevsemfyc Top Word Pairs in Tweet in G5:
[20] commemorate,#africaintegrationday [20] #africaintegrationday,africacdc [20] africacdc,ag [20] ag,dr [20] dr,ouma [20] distinguished,guests [18] guests,discuss [17] final,qpstalktime [17] patient,safety [17] safety,learning Top Word Pairs in Tweet in G6:
[20] keto,diet [13] ehealth,africa [13] ehealth,magazine [9] one,effective [9] effective,diets [9] diets,losing [9] losing,weight [9] weight,full [8] easy,keto [8] diet,pack Top Word Pairs in Tweet in G7:
[20] #ehealth,#digitalhealth [14] #digitalhealth,12 [13] denkimpuls,initiatived21 [13] initiatived21,#datenraumgesundheit [12] berlin,die [11] die,digitalisierung [11] digitalisierung,gesundheitswesens [11] chaotische,zustände [11] zustände,#gematik [11] #gematik,verantwortenden Top Word Pairs in Tweet in G8:
[8] coming,days [8] days,announce [8] announce,#eapec [8] #eapec,2022 [8] 2022,programme [8] programme,featuring [8] featuring,international [8] international,experts [8] experts,#openscience [8] countdown,submission Top Word Pairs in Tweet in G9:
[21] ehealth,forum [20] swiss,ehealth [16] #sehf,#ehealth [12] forum,2022 [10] 2022,#sehf [6] marc,engelhard [6] geht,die [6] ch_ehealth,swiss [5] #ehealth,lebenswichtige [5] lebenswichtige,daten Top Word Pairs in Tweet in G10:
[4] ehealth,survey [3] energycommerce,#suboversight [3] #suboversight,hearing [3] hearing,cathymcmorris [3] cathymcmorris,cites [3] cites,recent [3] recent,ehealth [3] survey,more [3] more,800 [2] bmalliance,energycommerce Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: