The graph represents a network of 1,819 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, 26 December 2022 at 06:32 UTC.
The requested start date was Monday, 26 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 6-day, 21-hour, 7-minute period from Sunday, 18 December 2022 at 14:10 UTC to Sunday, 25 December 2022 at 11:17 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 : 1819
Unique Edges : 1817
Edges With Duplicates : 13052
Total Edges : 14869
Number of Edge Types : 5
Replies to : 255
Tweet : 910
Retweet : 4185
MentionsInRetweet : 3545
Mentions : 5974
Self-Loops : 2763
Reciprocated Vertex Pair Ratio : 0.0549488054607509
Reciprocated Edge Ratio : 0.10417340666451
Connected Components : 117
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 1489
Maximum Edges in a Connected Component : 14350
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.999958
Graph Density : 0.000934700396922595
Modularity : 0.17622
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,819 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, 26 December 2022 at 06:32 UTC.
The requested start date was Monday, 26 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 6-day, 21-hour, 7-minute period from Sunday, 18 December 2022 at 14:10 UTC to Sunday, 25 December 2022 at 11:17 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:
[4309] #healthtech,#smartcity [4306] #csuite,#digitalhealth [4305] #datascientist,#csuite [4302] #smartcity,#datascientist [4295] #digitalhealth,#web3 [4288] #web3,#cx [4282] #cx,#ehealth [4281] #ehealth,#finserv [4159] #finserv,#cloud [2442] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[4069] #healthtech,#smartcity [4067] #csuite,#digitalhealth [4066] #datascientist,#csuite [4064] #smartcity,#datascientist [4057] #digitalhealth,#web3 [4056] #web3,#cx [4050] #cx,#ehealth [4050] #ehealth,#finserv [3934] #finserv,#cloud [2210] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[290] #digital,#digitalhealth [247] #digitalhealth,#ehealth [234] #smartcity,#digital [219] #healthtech,#smartcity [218] #csuite,#digitalhealth [218] #datascientist,#csuite [217] #digitalhealth,#web3 [217] #smartcity,#datascientist [213] #web3,#cx [213] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[94] use,pocket [94] algorithm,status [94] card,algorithm [94] treatment,#neurotwitter [94] epilepticus,treatment [94] efficacy,use [94] pocket,card [94] status,epilepticus [93] #neurotwitter,#neurolo [93] apothera,efficacy Top Word Pairs in Tweet in G4:
[64] #healthcareit,#ehealth [64] #digitalhealth,#wearables [61] #wearables,series [60] #health,#healthcareit [60] #ehealth,#healthcare [55] #healthcare,#digitalhealth [54] series,wearablesexpert [47] #ehealth,#mhealth [44] #telehealth,#telemedicine [32] #digitalhealth,#ehealth Top Word Pairs in Tweet in G5:
[9] cdcgov,cdcdirector [6] cdcdirector,cdcemergency [6] cdcemergency,cdc_ehealth [4] cdcglobal,cdcfound [4] cdcdirector,cdc_ehealth [4] cdc_ehealth,cdcflu [3] cdcflu,cdcglobal [3] cdc_ehealth,cdcglobal [2] niaidnews,niaidfunding [2] cdcemergency,chinatowncdc Top Word Pairs in Tweet in G6:
[30] ar_covid,covidxix [30] v2019n,ar_covid [25] covid,19 [24] stroke,symptoms [24] japan,times [24] symptoms,japan [24] 19,watch [24] watch,stroke [24] times,v2019n [24] ve,covid Top Word Pairs in Tweet in G7:
[6] ehealth_care,感谢分享 [5] ehealth_care,谢谢 [4] #fyp,#foryou [2] #中医传承,#fyp [2] #e起健康吧,#健康 [2] 如果宝宝食物过敏,该肿么办 [2] 来自自然的力量,#食补养生 [2] #生活小技巧,#生活小妙招 [2] down,ccp [2] #脱敏治疗,#皮肤 Top Word Pairs in Tweet in G8:
[15] #myhr,#myhealthrecord [14] #myhealthrecord,#ehealth [10] ehth,ehealth [9] stock,price [9] last,min [9] more,stock [9] price,alerts [8] 2022,#myhr [7] december,2022 [7] digital,health Top Word Pairs in Tweet in G9:
[10] ehealth,ontario [7] tax,payer [7] data,those [7] money,vanished [7] ontario,8b [7] ontarians,still [7] payer,money [7] reliable,pandemic [7] under,liberals [7] pandemic,data 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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Top Tweeters in G10: