The graph represents a network of 300 Twitter users whose tweets in the requested range contained "hcmktg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 December 2022 at 04:06 UTC.
The requested start date was Friday, 16 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 105-day, 17-hour, 17-minute period from Thursday, 01 September 2022 at 04:52 UTC to Thursday, 15 December 2022 at 22:09 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 : 300
Unique Edges : 238
Edges With Duplicates : 1105
Total Edges : 1343
Number of Edge Types : 5
Mentions : 299
Retweet : 125
MentionsInRetweet : 207
Replies to : 5
Tweet : 707
Self-Loops : 709
Reciprocated Vertex Pair Ratio : 0.060790273556231
Reciprocated Edge Ratio : 0.114613180515759
Connected Components : 39
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 108
Maximum Edges in a Connected Component : 425
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.112659
Graph Density : 0.0038907469342252
Modularity : 0.246729
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 300 Twitter users whose tweets in the requested range contained "hcmktg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 December 2022 at 04:06 UTC.
The requested start date was Friday, 16 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 105-day, 17-hour, 17-minute period from Thursday, 01 September 2022 at 04:52 UTC to Thursday, 15 December 2022 at 22:09 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 : hcmktg
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:
[265] top,story [263] #hcmktg,#quantihealth [263] #quantihealth,top [216] see,more [47] report,#hcmktg [46] hospitals,nationwide [46] face,unprecedented [46] practices,partially [46] partially,blame [46] nationwide,face Top Word Pairs in Tweet in G1:
[263] #hcmktg,#quantihealth [263] top,story [263] #quantihealth,top [213] see,more [35] ',see [17] quantihealth_,#hcmktg [15] story,noeldominique [13] santé,see [13] noeldominique,' [13] festival,communication Top Word Pairs in Tweet in G2:
[34] #hcmktg,#hcldr [12] #touchpoint,reedsmith [12] tpmnetwork,#touchpoint [8] reedsmith,chrisboyer [8] #hcldr,#hcmktg [7] #shsmd22,#hcmktg [6] reedsmith,discuss [6] chrisboyer,reedsmith [6] #touchpoint,chrisboyer [6] check,full Top Word Pairs in Tweet in G3:
[25] healthcare,internet [20] #hcic22,#hcmktg [19] internet,conference [16] greymatters,#hcmktg [14] miami,florida [14] discount,ends [12] see,miami [12] master,classes [12] november,9th [11] miami,#hcmktg Top Word Pairs in Tweet in G4:
[8] team,payers [8] healthcare,team [8] support,quality [8] patients,need [8] payers,support [8] need,healthcare [8] quality,research [8] data,analytics [7] #casestudy,#mrx [7] business,plan Top Word Pairs in Tweet in G5:
[46] nationwide,face [46] partially,blame [46] blame,hospitals [46] face,unprecedented [46] practices,partially [46] hospitals,nationwide [46] turnover,report [46] report,#hcmktg [46] unprecedented,turnover [46] hiring,practices Top Word Pairs in Tweet in G6:
[4] #hcmktg,#hcsm [4] managing,partner [4] mario,nacinovich [4] #communication,#healthcare [2] study,#hcmktg [2] 7k,weekend [2] journal,#communication [2] kevinwcoffey,jchildebrandt [2] produce,something [2] content,maney Top Word Pairs in Tweet in G7:
[9] #hitmc,#hcmktg [6] #hitmc,2023 [4] annual,conference [4] patients,yes [4] digital,forget [4] engage,patients [4] 2022,hitmc [4] attempting,engage [4] different,things [4] try,different Top Word Pairs in Tweet in G9:
[3] healthcare,communications [3] mcmahon,custom [3] custom,healthcare [2] department,expertise [2] publish,#outcomes [2] communications,advance [2] expertise,aspects [2] hospital,systems [2] team,full [2] country,top Top Word Pairs in Tweet in G10:
[9] care,leadership [9] leadership,conference [9] conference,february [8] february,19 [6] 19,22 [5] announcing,sponsorship [5] available,2023 [5] 2023,#aharuralhealth [5] sponsorship,opportunities [5] opportunities,available Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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: