The graph represents a network of 881 Twitter users whose tweets in the requested range contained "hcsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 07 January 2020 at 03:15 UTC.
The requested start date was Tuesday, 07 January 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 10-hour, 23-minute period from Tuesday, 24 December 2019 at 02:12 UTC to Monday, 06 January 2020 at 12:35 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 : 881
Unique Edges : 1058
Edges With Duplicates : 1415
Total Edges : 2473
Number of Edge Types : 4
MentionsInRetweet : 1126
Mentions : 457
Tweet : 672
Replies to : 218
Self-Loops : 672
Reciprocated Vertex Pair Ratio : 0.0531309297912713
Reciprocated Edge Ratio : 0.100900900900901
Connected Components : 79
Single-Vertex Connected Components : 37
Maximum Vertices in a Connected Component : 526
Maximum Edges in a Connected Component : 1726
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.10796
Graph Density : 0.0014317407904241
Modularity : 0.425835
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 881 Twitter users whose tweets in the requested range contained "hcsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 07 January 2020 at 03:15 UTC.
The requested start date was Tuesday, 07 January 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 10-hour, 23-minute period from Tuesday, 24 December 2019 at 02:12 UTC to Monday, 06 January 2020 at 12:35 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 : hcsm
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:
[290] #health,#nutrition [277] #nutrition,#life [267] #life,#hcsm [244] #hcsm,#healthy [218] #healthy,#digitalhealth [198] #digitalhealth,#4patients [170] #4patients,#foamed [148] #meded,#healthtalk [130] #foamed,#mhealth [124] #mhealth,#meded Top Word Pairs in Tweet in G1:
[45] #health,#nutrition [43] #nutrition,#life [41] #life,#hcsm [35] #hcsm,#healthy [28] #healthy,#digitalhealth [24] #digitalhealth,#4patients [20] try,something [20] something,ton [20] ton,epatients [20] epatients,changing Top Word Pairs in Tweet in G2:
[245] #health,#nutrition [234] #nutrition,#life [226] #life,#hcsm [208] #hcsm,#healthy [190] #healthy,#digitalhealth [174] #digitalhealth,#4patients [156] #4patients,#foamed [147] #meded,#healthtalk [128] #foamed,#mhealth [124] #mhealth,#meded Top Word Pairs in Tweet in G3:
[19] hcsm_eu,cofrimali [7] mum_nurse,hcsm_eu [6] mum_nurse,cofrimali [6] cofrimali,fernunihagen [4] arens_frank,hcsm_eu [3] kolleginnen,kollegen [2] hcsm_eu,pflege_news [2] little,bit [2] diejenigen,die [2] kã,ln Top Word Pairs in Tweet in G4:
[16] find,2020 [16] 2020,calendar [16] calendar,12 [16] 12,french [16] french,#patientassociations [16] #patientassociations,bare [16] bare,challenge [16] challenge,eliminate [15] health20paris,find [15] latest,pharmageek Top Word Pairs in Tweet in G5:
[44] antibiotic,resistance [30] climate,change [25] _facesa,antibiotic [18] #hcsm,#hcsmsa [15] resistance,compared [15] compared,climate [15] change,climate [15] change,impact [15] impact,antibiotic [15] resistance,good Top Word Pairs in Tweet in G6:
[17] gary,book [17] book,club [17] club,selections [17] selections,#ces2020 [17] #ces2020,#ces2019 [17] #ces2019,thrilled [17] thrilled,#ces [17] #ces,2020 [17] 2020,authors [17] authors,addressing Top Word Pairs in Tweet in G7:
[28] health,hashtag [9] top,influencers [7] healthhashtags,health [5] hashtag,#ctobesity20 [5] #ctobesity20,neilflochmd [5] neilflochmd,asmbsct [5] asmbsct,presents [5] presents,obesity [5] obesity,summit [5] summit,2020 Top Word Pairs in Tweet in G8:
[84] ãƒ,ム[10] gt,gt [7] œã,ム[6] ãƒ,ç [6] æ,æ [6] #ã,ム[5] ÿã,ªã [5] ç,åƒ [4] ç,ÿã [4] œã,šã Top Word Pairs in Tweet in G10:
[7] #openaccess,#hcsm [6] acknowledgement,reviewers [5] #radiology,#hcsm [5] #hcsm,#openaccess [5] #meded,#hcsm [5] #medtwitter,#hcsm [4] #hivmedicine,#openaccess [3] south,africa [3] #hitsm,#hcsm [3] happy,year Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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 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: