The graph represents a network of 2,593 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, 12 December 2022 at 06:39 UTC.
The requested start date was Monday, 12 December 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 11-day, 2-hour, 42-minute period from Monday, 28 November 2022 at 08:38 UTC to Friday, 09 December 2022 at 11:20 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 : 2593
Unique Edges : 2960
Edges With Duplicates : 13447
Total Edges : 16407
Number of Edge Types : 5
MentionsInRetweet : 5826
Mentions : 4480
Retweet : 4419
Replies to : 257
Tweet : 1425
Self-Loops : 2518
Reciprocated Vertex Pair Ratio : 0.0652989190381646
Reciprocated Edge Ratio : 0.122592669289708
Connected Components : 243
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 2111
Maximum Edges in a Connected Component : 15772
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.889458
Graph Density : 0.000718488285174235
Modularity : 0.243514
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,593 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, 12 December 2022 at 06:39 UTC.
The requested start date was Monday, 12 December 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 11-day, 2-hour, 42-minute period from Monday, 28 November 2022 at 08:38 UTC to Friday, 09 December 2022 at 11:20 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:
[2551] #csuite,#digitalhealth [2550] #datascientist,#csuite [2543] #ehealth,#finserv [2541] #healthtech,#smartcity [2541] #smartcity,#datascientist [2540] #digitalhealth,#web3 [2534] #cx,#ehealth [2533] #web3,#cx [1552] chidambara09,#healthtech [1450] #finserv,#cloudâ Top Word Pairs in Tweet in G1:
[2352] #csuite,#digitalhealth [2351] #datascientist,#csuite [2348] #ehealth,#finserv [2345] #smartcity,#datascientist [2343] #healthtech,#smartcity [2342] #digitalhealth,#web3 [2337] #cx,#ehealth [2336] #web3,#cx [1363] chidambara09,#healthtech [1268] #finserv,#cloudâ Top Word Pairs in Tweet in G2:
[309] #digital,#digitalhealth [285] #digitalhealth,#ehealth [265] #smartcity,#digital [172] #datascientist,#csuite [172] #cx,#ehealth [172] #web3,#cx [172] #digitalhealth,#web3 [172] #csuite,#digitalhealth [171] #healthtech,#smartcity [170] #ehealth,#finserv Top Word Pairs in Tweet in G3:
[100] #smartcity,#digital [100] #digitalhealth,#ehealth [100] #digital,#digitalhealth [23] cdcemergency,cdc_ehealth [18] cdcdirector,cdcemergency [17] cdcgov,cdcdirector [14] #web3,#cx [14] #healthtech,#smartcity [14] #digitalhealth,#web3 [14] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[10] ehealth,nsw [8] #digital,#digitalhealth [8] #digitalhealth,#ehealth [7] ehealth,inc [7] craig,hallum [6] foti,llc [6] directors,ehealth [6] attorney,general [6] continued,former [6] officers,directors Top Word Pairs in Tweet in G5:
[144] #healthcareit,#ehealth [140] #ehealth,#healthcare [138] #healthcare,#digitalhealth [136] #health,#healthcareit [125] #digitalhealth,#wearables [120] #wearables,series [103] series,wearablesexpert [82] #telehealth,#telemedicine [81] #ehealth,#mhealth [76] #digitalhealth,#ehealth Top Word Pairs in Tweet in G6:
[12] citizens,available [12] available,26 [12] informal,caregivers [12] caregivers,citizens [12] european,patients [12] patients,informal [12] health,europe [12] announcing,launch [11] european,health [9] #georgepaunescu,energy4europe Top Word Pairs in Tweet in G7:
[23] selected,ceo [21] ehealth,ontario [15] allowed,two [15] jobs,selected [15] full,time [15] person,allowed [15] managers,person [15] time,jobs [15] two,full [15] healthcare,managers Top Word Pairs in Tweet in G8:
[18] unocha,eucourtpress [18] ifrc,redcross [18] ehealth_eu,ifrc [18] un_women,unhumanrights [18] potos,statedept [18] redcross,redcrosseu [18] statedept,ehealth_eu [18] unhumanrights,unocha [18] eucourtpress,potos [16] afp,guardian Top Word Pairs in Tweet in G9:
[8] talks,#telemedicine [8] doing,europe [8] #telemedicine,doing [8] europe,benefits [8] barriers,fsaigi [8] ehealth,talks [8] benefits,facilitators [8] facilitators,barriers [8] gra_volpi,recainsanetwork [8] fsaigi,researcher Top Word Pairs in Tweet in G10:
[4] event,notice [3] group,extremely [3] extremely,nice [3] day,down [3] down,more [3] more,go [3] pleasure,collaborate [3] collaborate,group [3] genuine,pleasure [3] go,genuine Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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