The graph represents a network of 977 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 04 August 2020 at 17:13 UTC.
The requested start date was Tuesday, 04 August 2020 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 13-day, 22-hour, 51-minute period from Tuesday, 21 July 2020 at 00:30 UTC to Monday, 03 August 2020 at 23:21 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 : 977
Unique Edges : 1389
Edges With Duplicates : 5311
Total Edges : 6700
Number of Edge Types : 5
Retweet : 1367
MentionsInRetweet : 2373
Mentions : 1527
Replies to : 823
Tweet : 610
Self-Loops : 633
Reciprocated Vertex Pair Ratio : 0.156209433145824
Reciprocated Edge Ratio : 0.270209580838323
Connected Components : 60
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 803
Maximum Edges in a Connected Component : 6356
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.77612
Graph Density : 0.00280215447086263
Modularity : 0.270233
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 977 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 04 August 2020 at 17:13 UTC.
The requested start date was Tuesday, 04 August 2020 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 13-day, 22-hour, 51-minute period from Tuesday, 21 July 2020 at 00:30 UTC to Monday, 03 August 2020 at 23:21 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 : #hcldr
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:
[174] virtual,care [94] authentic,collaboration [79] drrbhyat,infoway [75] virtual,visits [61] emergency,room [60] social,media [60] room,doctor [60] doctor,massachusetts [60] massachusetts,general [60] general,hospital Top Word Pairs in Tweet in G1:
[164] virtual,care [94] authentic,collaboration [75] drrbhyat,infoway [67] virtual,visits [53] hcldr,drrbhyat [49] social,media [44] urgent,care [42] ready,walmart [42] walmart,offer [42] offer,ray Top Word Pairs in Tweet in G2:
[11] #pinksocks,#hcldr [9] #breakingnews,taking [9] taking,action [9] action,ensure [9] ensure,#telehealth [9] #telehealth,stay [9] stay,whitehouse [9] whitehouse,orders [9] orders,hhsgov [9] hhsgov,make Top Word Pairs in Tweet in G3:
[57] emergency,room [57] room,doctor [57] doctor,massachusetts [57] massachusetts,general [57] general,hospital [57] hospital,started [57] started,voter [57] voter,program [57] program,allows [57] allows,doctors Top Word Pairs in Tweet in G4:
[10] health,misinformation [9] health,literacy [8] healthcare,teams [6] 29,nasem_health [6] nasem_health,host [6] host,virtual [6] virtual,workshop [6] workshop,combating [6] combating,health [6] misinformation,#healthliteracy Top Word Pairs in Tweet in G5:
[9] #hitsm,#hcldr [7] jenn,dellwo [7] dellwo,louise [7] louise,briguglio [6] virtual,care [5] episode,pt [5] pt,crossover [5] crossover,radiorev [5] radiorev,podcast [5] podcast,jenn Top Word Pairs in Tweet in G6:
[54] icymi,gt [52] #digitalhealth,#hcldr [51] #hcldr,#hitsm [37] healthcare,#digitalhealth [35] harlow,healthcare [12] #pophealth,#hcldr [11] pophealth,week [11] week,hosts [11] hosts,fred [11] fred,goldstein Top Word Pairs in Tweet in G7:
[8] building,free [8] free,directory [8] please,take [8] take,moment [8] moment,send [8] send,suggestions [6] directory,healthcare [4] #podcasts,please [4] daily,conversation [4] conversation,report Top Word Pairs in Tweet in G8:
[7] virtual,connection [7] today's,#podcast [7] #podcast,pioneer [7] pioneer,#medicine [7] #medicine,renowned [7] renowned,immunologist [7] immunologist,dr [7] dr,hildreth [7] hildreth,meharrymedical [7] meharrymedical,shares Top Word Pairs in Tweet in G9:
[2] taking,such [2] such,exceptional [2] exceptional,care [2] drumeshprabhu,nigelj08223325 [2] nigelj08223325,mailonline [2] mailonline,rcgp [2] rcgp,paragsinghal09 [2] paragsinghal09,healthfirstak [2] healthfirstak,nhsresolution [2] nhsresolution,nhsc_niall Top Word Pairs in Tweet in G10:
[19] #hcsm,#hcldr [9] #beyonddiagnosis,#hcsm [9] #hcldr,#cancersm [8] coo,monica [8] monica,fawzy [8] fawzy,bryant [8] bryant,esq [7] #hcldr,#oncoalert [7] quick,guide [6] #meded,#mdchat Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: