The graph represents a network of 3,579 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, 14 October 2022 at 22:16 UTC.
The requested start date was Friday, 14 October 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 5-day, 4-hour, 34-minute period from Saturday, 08 October 2022 at 19:25 UTC to Thursday, 13 October 2022 at 23:59 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 : 3579
Unique Edges : 3300
Edges With Duplicates : 12495
Total Edges : 15795
Number of Edge Types : 5
Retweet : 5033
MentionsInRetweet : 6542
Tweet : 1479
Mentions : 2643
Replies to : 98
Self-Loops : 1876
Reciprocated Vertex Pair Ratio : 0.0410212765957447
Reciprocated Edge Ratio : 0.078809679529104
Connected Components : 215
Single-Vertex Connected Components : 91
Maximum Vertices in a Connected Component : 3003
Maximum Edges in a Connected Component : 14917
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.785095
Graph Density : 0.000477601236078228
Modularity : 0.316474
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 3,579 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, 14 October 2022 at 22:16 UTC.
The requested start date was Friday, 14 October 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 5-day, 4-hour, 34-minute period from Saturday, 08 October 2022 at 19:25 UTC to Thursday, 13 October 2022 at 23:59 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:
[869] #ehealth,#finserv [867] #finserv,#cloud [864] #datascientist,#csuite [861] #csuite,#digitalhealth [861] #cx,#ehealth [857] #healthtech,#datascientist [857] #digitalhealth,#web3 [856] #web3,#cx [854] #cloud,#insurtech [526] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[210] #python,#programming [204] #machinelearning,#python [201] #datascience,#machinelearning [179] #digitalhealth,#socialmedia [156] #ehealth,#finserv [156] #finserv,#cloud [155] #datascientist,#csuite [154] #cx,#ehealth [154] #web3,#cx [154] #digitalhealth,#web3 Top Word Pairs in Tweet in G2:
[679] #datascientist,#csuite [677] #ehealth,#finserv [677] #cx,#ehealth [677] #csuite,#digitalhealth [675] #finserv,#cloud [674] #healthtech,#datascientist [673] #web3,#cx [673] #digitalhealth,#web3 [671] #cloud,#insurtech [344] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[77] digital,health [53] #digital,#digitalhealth [51] #digitalhealth,#health [39] #telehealth,#telemedicine [38] #socialmedia,#digital [35] #ehealth,#finserv [35] #finserv,#cloud [30] #cloud,#insurtech [29] #datascientist,#csuite [29] #healthtech,#datascientist Top Word Pairs in Tweet in G4:
[34] digital,health [33] #digitalhealthweek,event [26] event,90 [26] shine,light [26] excited,hosting [26] hosting,#digitalhealthweek [23] trans4m_health,#digitalhealthweek [23] organizations,shine [23] 90,organizations [22] malariayouthke,excited Top Word Pairs in Tweet in G5:
[149] #india,#covid_19 [149] #didyouknow,#cowin [149] #digital,backbone [149] #cowin,#successfully [149] #program,#suggest [149] #vaccination,#program [149] #served,#digital [149] backbone,#india [149] #successfully,#served [149] #covid_19,#vaccination Top Word Pairs in Tweet in G6:
[18] digital,health [9] #digitalhealth,#trending [8] #trending,#weightloss [7] #digitalhealth,#health [7] #weightloss,#fitness [7] #digital,#digitalhealth [6] bottles,bottles [6] bottles,free [6] gt,gt [5] nutrients,evaporate Top Word Pairs in Tweet in G7:
[11] business,model [10] chatted,company [10] zocdoc,ceo [10] ceo,dr [10] #telemedicine,create [10] more,demand [10] more,convenient [10] demand,more [10] demand,#digitalhealth [10] dr,oliver Top Word Pairs in Tweet in G8:
[14] digital,health [12] #digitalhealth,webinar [11] annual,report [11] #ahrq,#digitalhealth [11] co,founder [10] centered,care [10] cognitive,processes [10] patient,experience [10] patient,centered [10] research,projects Top Word Pairs in Tweet in G9:
[21] chance,watch [21] watch,reconnected [21] retweet,share [21] please,retweet [21] share,last [21] last,chance [21] implementation,online [21] online,communication [21] reconnected,implementation [20] communication,training Top Word Pairs in Tweet in G10:
[19] s_amani,dhccio [15] full,story [13] mental,health [9] electronic,patient [9] good,morning [6] record,standards [6] issues,cerneruk [6] client,data [6] downtime,performance [6] profrecordsb,published Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: