The graph represents a network of 3,868 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, 18 May 2020 at 06:28 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 11-hour, 5-minute period from Monday, 11 May 2020 at 00:30 UTC to Sunday, 17 May 2020 at 11:36 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 : 3868
Unique Edges : 5601
Edges With Duplicates : 10589
Total Edges : 16190
Number of Edge Types : 5
Retweet : 3174
MentionsInRetweet : 6032
Tweet : 1024
Mentions : 5525
Replies to : 435
Self-Loops : 1097
Reciprocated Vertex Pair Ratio : 0.0259567789448268
Reciprocated Edge Ratio : 0.0506001412096964
Connected Components : 297
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 3190
Maximum Edges in a Connected Component : 15123
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.683424
Graph Density : 0.000568140944951167
Modularity : 0.462824
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 3,868 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, 18 May 2020 at 06:28 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 11-hour, 5-minute period from Monday, 11 May 2020 at 00:30 UTC to Sunday, 17 May 2020 at 11:36 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:
[364] enricomolinari,#ehealth [251] covid,19 [247] ty,wef [247] wef,enricomolinari [199] #ehealth,#health [166] #ehealth,#mhealth [151] fmohnigeria,fmicnigeria [147] ty,101blockchains [147] 101blockchains,enricomolinari [133] seguimiento,#ehealth Top Word Pairs in Tweet in G1:
[351] enricomolinari,#ehealth [236] ty,wef [236] wef,enricomolinari [145] ty,101blockchains [145] 101blockchains,enricomolinari [144] #ehealth,#mhealth [120] #ehealth,#ai [105] #ai,#iot [99] enricomolinari,#ai [98] enricomolinari,scientists Top Word Pairs in Tweet in G2:
[133] seguimiento,#ehealth [118] #ehealth,#health [114] covid,19 [109] #doctors,#hospital [105] #hospital,#health [96] #health,#healthcareit [80] #healthcareit,#ehealth [75] #ehealth,#healthcare [62] #healthcare,#digitalhealth [56] #digitalhealth,#ehealth Top Word Pairs in Tweet in G3:
[68] cdc_ehealth,cdcemergency [62] cdcgov,cdc_ehealth [61] cdcemergency,cdc_ehealth [57] cdcemergency,cdcglobal [57] cdcglobal,cdcdirector [57] cdcdirector,usdafoodsafety [57] usdafoodsafety,realdonaldtrump [56] maryjoe38642126,cdc_ehealth [40] cdcdirector,cdcgov [32] cdc_ehealth,usda Top Word Pairs in Tweet in G4:
[39] pediatric,therapists [30] therapists,check [30] check,online [30] online,conference [30] conference,showcase [30] showcase,innovative [30] innovative,clinical [30] clinical,strategies [30] strategies,early [29] canchild_ca,pediatric Top Word Pairs in Tweet in G5:
[139] fmohnigeria,fmicnigeria [87] ncdcgov,fmohnigeria [86] africacdc,ehealth_africa [64] epidalert,nighealthwatch [64] whonigeria,africacdc [63] amlsnnational,fmohnigeria [63] fmicnigeria,whonigeria [63] ehealth_africa,banigeria [63] banigeria,dreoehanire [63] dreoehanire,ptfcovid19 Top Word Pairs in Tweet in G6:
[29] ehealth,pediatric [29] pediatric,summit [29] evidence,based [28] clinical,innovation [28] innovation,evidence [28] based,practice [28] practice,pediatric [28] pediatric,therapists [28] therapists,telehealth [26] think,others Top Word Pairs in Tweet in G7:
[21] over,26 [21] 26,million [21] million,eu [21] eu,investment [21] investment,connect [21] connect,europe [21] europe,digitally [21] digitally,areas [21] areas,#cybersecurity [21] #cybersecurity,#ehealth Top Word Pairs in Tweet in G8:
[22] contact,tracing [15] guidelines,approved [15] approved,contact [15] tracing,mobile [15] mobile,applications [8] eu,'interoperability [8] 'interoperability,guidelines [8] applications,eu' [8] eu',gt [8] ehealth,network Top Word Pairs in Tweet in G9:
[8] ehealth,ontario [6] billion,ehealth [5] ontario,worst [5] worst,part [5] scandal,still [5] still,working [5] working,government [5] ontario,lost [5] lost,billion [4] part,people Top Word Pairs in Tweet in G10:
[41] public,health [22] health,relies [22] relies,faxes [22] faxes,paper [22] paper,records [22] records,states [22] states,reopen [19] reopen,nation's [19] nation's,public [19] health,system 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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