The graph represents a network of 767 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, 07 August 2020 at 03:33 UTC.
The requested start date was Friday, 07 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 96-day, 18-hour, 37-minute period from Friday, 01 May 2020 at 00:13 UTC to Wednesday, 05 August 2020 at 18:50 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 : 767
Unique Edges : 900
Edges With Duplicates : 3431
Total Edges : 4331
Number of Edge Types : 5
Retweet : 797
MentionsInRetweet : 1357
Mentions : 873
Tweet : 1283
Replies to : 21
Self-Loops : 1296
Reciprocated Vertex Pair Ratio : 0.0885221305326332
Reciprocated Edge Ratio : 0.162646450723639
Connected Components : 43
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 697
Maximum Edges in a Connected Component : 4220
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.119215
Graph Density : 0.0024696947518561
Modularity : 0.269489
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 767 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, 07 August 2020 at 03:33 UTC.
The requested start date was Friday, 07 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 96-day, 18-hour, 37-minute period from Friday, 01 May 2020 at 00:13 UTC to Wednesday, 05 August 2020 at 18:50 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:
[334] #hcmktg,#quantihealth [332] #quantihealth,top [332] top,story [250] #hcmktg,#hcsm [230] see,more [161] covid,19 [153] daily,news [138] healthcare,marketing [104] news,read [102] #hcsm,#healthit Top Word Pairs in Tweet in G1:
[41] learn,more [38] #hcmktg,#healthcaremarketing [34] covid,19 [31] healthcare,marketers [26] #hcmktg,#hcldr [26] healthcare,marketing [22] medical,facilities [20] #hcmktg,#hitmc [20] 2020,#ehealthcareawards [19] returning,medical Top Word Pairs in Tweet in G2:
[92] healthcare,marketing [82] marketing,matters [71] #touchpoint,podcast [58] tpmnetwork,#touchpoint [54] podcast,chrisboyer [54] chrisboyer,reedsmith [51] #hcmktg,#hcsm [37] reedsmith,discuss [28] #hcldr,#hcmktg [28] #hcmktg,#hospitals Top Word Pairs in Tweet in G3:
[332] #hcmktg,#quantihealth [331] #quantihealth,top [331] top,story [230] see,more [32] quantihealth_,#hcmktg [31] bdm,see [25] ',see [22] covid,19 [10] story,noeldominique [10] story,coronavirus Top Word Pairs in Tweet in G4:
[61] #hcmktg,#hcsm [56] nine,strategies [56] strategies,changing [56] changing,provider [56] provider,marketing [56] marketing,courage [56] courage,#hcmktg [56] #hcsm,#strategy [41] super,bloggers [41] bloggers,blog Top Word Pairs in Tweet in G5:
[38] covid,19 [33] #hcmktg,#healthcaremarketing [32] healthcare,marketers [22] during,covid [20] klein,partners [18] healthcare,marketing [18] help,healthcare [16] social,media [14] patients,back [14] rob,klein Top Word Pairs in Tweet in G6:
[153] daily,news [104] news,read [103] #hcmktg,#hcsm [102] #hcsm,#healthit [102] #healthit,#meded [100] #meded,#patient [99] #patient,#physicians [95] #physicians,#telemedicine [77] read,more [61] #bcsm,#hcmktg Top Word Pairs in Tweet in G7:
[8] insight,cco [8] cco,humana [8] humana,hcmktg [8] hcmktg,kern_health [5] changes,healthcare [5] healthcare,mktg [5] mktg,insight [5] kern_health,healthcaregov [4] cmo,study [4] study,upside Top Word Pairs in Tweet in G8:
[4] covid,19 [3] #hcmktg,#healthcaremarketing [2] telehealth,website [2] website,marketing [2] #hcmktg,#websitemarketing [2] #websitemarketing,#digitalmarketingtips [2] #digitalmarketingtips,#healthcaremarketing [2] #healthcaremarketing,#healthcarewebsites [2] marketing,#hcmktg [2] healthcare,marketing Top Word Pairs in Tweet in G9:
[18] #pharma,#hcmktg [11] webinar,viseven_clm [8] covid,19 [8] viseven_clm,novonordisk [7] white,paper [6] pharma,roadmap [6] roadmap,successful [6] successful,online [6] online,engagement [6] engagement,hcps Top Word Pairs in Tweet in G10:
[9] covid,19 [5] elective,procedures [4] gt,hospitals [4] mass,general [4] general,brigham [3] restart,elective [3] pent,demand [3] workers,#hcmktg [2] strategies,rebuild [2] rebuild,patient Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: