The graph represents a network of 5,233 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 August 2020 at 22:54 UTC.
The requested start date was Friday, 07 August 2020 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 7-day, 7-hour, 52-minute period from Wednesday, 29 July 2020 at 20:36 UTC to Thursday, 06 August 2020 at 04:28 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 : 5233
Unique Edges : 4754
Edges With Duplicates : 11211
Total Edges : 15965
Number of Edge Types : 5
Retweet : 4264
MentionsInRetweet : 6111
Tweet : 2175
Mentions : 3305
Replies to : 110
Self-Loops : 2371
Reciprocated Vertex Pair Ratio : 0.044788498755875
Reciprocated Edge Ratio : 0.0857369674517068
Connected Components : 694
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 3558
Maximum Edges in a Connected Component : 13228
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.544032
Graph Density : 0.000276050423360104
Modularity : 0.421861
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,233 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 August 2020 at 22:54 UTC.
The requested start date was Friday, 07 August 2020 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 7-day, 7-hour, 52-minute period from Wednesday, 29 July 2020 at 20:36 UTC to Thursday, 06 August 2020 at 04:28 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 : digitalhealth
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:
[795] gt,gt [467] #digitalmarketing,#bigdata [456] digital,health [454] #bigdata,#startups [359] covid,19 [306] #healthtech,#digitalhealth [298] template,#digitalmarketing [290] presentation,template [242] #startups,#startup [233] read,more Top Word Pairs in Tweet in G1:
[749] gt,gt [204] gt,#digitalhealth [166] #digitalhealth,#healthcare [165] read,more [164] #healthtech,#digitalhealth [161] #telemedicine,#telehealth [160] #mhealth,#digitalhealth [148] more,#cure [143] #cure,#digitalhealth [143] #healthcare,#infographic Top Word Pairs in Tweet in G2:
[37] #insurtech,#fintech [31] #digitalhealth,startups [30] fgraillot,great [30] great,map [30] map,#digitalhealth [30] startups,switzerland [30] switzerland,bestof [30] bestof,#insurtech [28] iq,eq [28] digital,health Top Word Pairs in Tweet in G3:
[38] digital,health [38] covid,19 [16] learn,more [14] #healthtech,#digitalhealth [12] #covid,19 [11] #digitalhealth,#healthtech [11] #coronavirus,#covid [11] #telehealth,#digitalhealth [10] #digitalhealth,#healthcare [10] #esante,#hcsmeufr Top Word Pairs in Tweet in G4:
[39] digital,health [35] covid,19 [25] read,more [12] university,hospitals [12] clinical,communication [11] read,full [11] communication,framework [11] #digitalhealth,#nhs [10] health,informatics [10] sector,organisations Top Word Pairs in Tweet in G5:
[340] #digitalmarketing,#bigdata [330] #bigdata,#startups [214] template,#digitalmarketing [208] presentation,template [189] #startups,#startup [142] powerpoint,presentation [108] data,driven [106] sprite4it,best [100] driven,powerpoint [96] #marketing,#seo Top Word Pairs in Tweet in G6:
[24] #digitalhealth,ecosystem [22] #exclusive,#independenceday [22] #independenceday,gear [22] gear,grab [22] grab,personal [22] personal,health [22] health,ids [22] ids,govt [22] govt,plans [22] plans,#digitalhealth Top Word Pairs in Tweet in G7:
[30] himss,latinoamérica [30] estrategia,#salud [25] inscribirse,cargo [25] cargo,#webinar [25] #webinar,himss [25] latinoamérica,msalnacion [25] msalnacion,estrategia [17] digital,health [15] ultimos,días [15] días,inscribirse Top Word Pairs in Tweet in G8:
[10] trinity,zan [10] zan,fhi360 [10] #digitalhealth,glass [10] glass,half [10] half,full [10] full,half [10] half,empty [9] announcing,upcoming [9] upcoming,wow [9] wow,webinar Top Word Pairs in Tweet in G9:
[17] #ehealth,#healthit [11] #digitalhealth,#ehealth [9] digital,health [8] east,arnhem [8] #digitalhealth,psa_national [8] psa_national,audigitalhealth [8] cicadainnov,#cicadamonthlybuzz [7] #healthit,#digitalhealth [6] arnhem,become [6] become,#communityofexcellence Top Word Pairs in Tweet in G10:
[28] #aiinhealthcare,#ai [26] digital,health [25] #ai,#digitalhealth [25] #digitalhealth,#healthcaresolutions [25] #healthcaresolutions,#healthcaretechnology [25] #healthcaretechnology,#healthdata [25] #healthdata,#healthinnovation [24] #healthinnovation,#healthtechnology [22] artificial,intelligence [18] covid,19 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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