The graph represents a network of 642 Twitter users whose recent tweets contained "health data privacy", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 19 January 2022 at 11:58 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 16-minute period from Monday, 10 January 2022 at 16:15 UTC to Wednesday, 19 January 2022 at 11:31 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 Grid layout algorithm.
Vertices : 642
Unique Edges : 700
Edges With Duplicates : 74
Total Edges : 774
Number of Edge Types : 5
Retweet : 330
MentionsInRetweet : 128
Mentions : 112
Tweet : 151
Replies to : 53
Self-Loops : 154
Reciprocated Vertex Pair Ratio : 0.0119453924914676
Reciprocated Edge Ratio : 0.0236087689713322
Connected Components : 196
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 130
Maximum Edges in a Connected Component : 139
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.415944
Graph Density : 0.00144099221912802
Modularity : 0.819225
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 642 Twitter users whose recent tweets contained "health data privacy", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 19 January 2022 at 11:58 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 16-minute period from Monday, 10 January 2022 at 16:15 UTC to Wednesday, 19 January 2022 at 11:31 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 Grid layout algorithm.
Graph Source : TwitterSearch
Graph Term : health data privacy
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[93] location,data [88] public,health [82] cellphone,location [81] health,officials [78] health,data [76] privacy,watchdog [76] watchdog,probing [73] health,agency [70] canada,privacy [70] cell,phones Top Word Pairs in Tweet in G1:
[21] health,data [14] data,privacy [14] location,data [11] cellphone,location [10] public,health [10] privacy,watchdog [10] watchdog,probing [10] probing,health [10] health,officials [8] health,care Top Word Pairs in Tweet in G2:
[57] 10,minutes [57] minutes,worth [57] worth,listening [57] listening,saturday [57] saturday,morning [57] morning,coffee [57] coffee,privacy [57] privacy,commissioner [57] commissioner,security [57] security,expert Top Word Pairs in Tweet in G3:
[26] data,#cdnpoli [23] prompted,revelation [23] revelation,public [23] public,health [23] health,agency [23] agency,canada [23] canada,secretly [23] secretly,monitored [23] monitored,movements [23] movements,public Top Word Pairs in Tweet in G4:
[25] canada,privacy [25] privacy,watchdog [25] watchdog,probing [25] probing,health [25] health,officials [25] officials,cellphone [25] cellphone,location [25] location,data [25] data,national [11] 33,million Top Word Pairs in Tweet in G5:
[25] #security,#infosec [23] #india,lacking [23] lacking,#healthcare [23] #healthcare,data [23] data,security [23] security,guidelines [23] guidelines,#hippa [23] #hippa,#100daysofcode [23] #100daysofcode,#code [23] #code,#codenewbie Top Word Pairs in Tweet in G6:
[10] house,committee [10] committee,responsible [10] responsible,overseeing [10] overseeing,#privacy [10] #privacy,issues [10] issues,unanimously [10] unanimously,voted [10] voted,conduct [10] conduct,study [10] study,govcanhealth Top Word Pairs in Tweet in G7:
[11] dukecyberpolicy,oracle [11] oracle,large [11] large,data [11] data,broker [11] broker,buying [11] buying,largest [11] largest,electronic [11] electronic,health [11] health,records [11] records,provider Top Word Pairs in Tweet in G8:
[10] #data,#privacy [8] featuring,alillyf [8] alillyf,today's [8] today's,npr [8] npr,podcast [8] podcast,nshortwave [8] nshortwave,focused [8] focused,health [8] health,apps [8] apps,selling Top Word Pairs in Tweet in G9:
[12] #tech,#digital [12] #digital,#data [12] #data,#privacy [8] check,op [8] op,ed [8] ed,school [8] school,surveillance [8] surveillance,students [8] students,laptops [8] laptops,help Top Word Pairs in Tweet in G10:
[6] data,privacy [3] dept,health [2] backagainpeeps,michael_trudel [2] michael_trudel,dabostorment [2] dabostorment,high5assfuck [2] high5assfuck,stclairashley [2] stclairashley,yaliberty [2] agree,data [2] health,dept [2] lack,data Top Replied-To in Entire Graph:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: