The graph represents a network of 81 Twitter users whose tweets in the requested range contained "cultureofhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 23 April 2020 at 23:45 UTC.
The requested start date was Wednesday, 22 April 2020 at 00:01 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, 8-hour, 7-minute period from Wednesday, 08 April 2020 at 12:56 UTC to Tuesday, 21 April 2020 at 21:03 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 : 81
Unique Edges : 54
Edges With Duplicates : 116
Total Edges : 170
Number of Edge Types : 5
Retweet : 48
MentionsInRetweet : 69
Mentions : 27
Tweet : 24
Replies to : 2
Self-Loops : 24
Reciprocated Vertex Pair Ratio : 0.0333333333333333
Reciprocated Edge Ratio : 0.0645161290322581
Connected Components : 12
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 41
Maximum Edges in a Connected Component : 98
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.237025
Graph Density : 0.0143518518518519
Modularity : 0.495052
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 81 Twitter users whose tweets in the requested range contained "cultureofhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 23 April 2020 at 23:45 UTC.
The requested start date was Wednesday, 22 April 2020 at 00:01 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, 8-hour, 7-minute period from Wednesday, 08 April 2020 at 12:56 UTC to Tuesday, 21 April 2020 at 21:03 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 : cultureofhealth
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:
[7] save,date [7] date,thursday [7] thursday,april [7] april,30th [7] 30th,3pm [7] 3pm,2pm [7] 2pm,ct [7] ct,1pm [7] 1pm,mt [7] mt,12pm Top Word Pairs in Tweet in G1:
[4] main,streets [4] streets,disaster [4] disaster,study [4] study,regional [4] regional,collective [4] collective,efficacy [4] efficacy,#irlalumni [4] #irlalumni,mindphul [4] mindphul,hprscholars [4] hprscholars,cagolembeski Top Word Pairs in Tweet in G2:
[7] international,examples [7] examples,#cities [7] #cities,apply [7] apply,international [7] international,#climateaction [7] #climateaction,innovation [7] innovation,exciting [7] exciting,grant [6] ebkent,international [6] grant,opport Top Word Pairs in Tweet in G3:
[6] save,date [6] date,thursday [6] thursday,april [6] april,30th [6] 30th,3pm [6] 3pm,2pm [6] 2pm,ct [6] ct,1pm [6] 1pm,mt [6] mt,12pm Top Word Pairs in Tweet in G4:
[6] mass,incarceration [5] racism,discrimination [5] discrimination,pathological [5] pathological,pathway [5] pathway,spread [5] spread,mass [5] incarceration,epidemic [5] epidemic,next [5] next,steps [4] foxykealoha,racism Top Word Pairs in Tweet in G5:
[4] made,onset [4] onset,pandemic [4] pandemic,video [4] video,coronavirus [4] coronavirus,racism [4] racism,infected [4] infected,high [4] high,school [4] school,explores [3] forward_promise,made Top Word Pairs in Tweet in G6:
[3] lake,county [3] county,colo [3] colo,36 [3] 36,latino [3] latino,recently [3] recently,won [3] won,rwjf [3] rwjf,#cultureofhealth [3] #cultureofhealth,prize [3] prize,pursuing Top Word Pairs in Tweet in G8:
[4] health,policy [4] policy,brief [4] brief,gina [4] gina,adams [4] adams,urbaninstitute [4] urbaninstitute,julia [4] julia,henly [4] henly,uchicago [4] uchicago,explore [4] explore,child Top Word Pairs in Tweet in G9:
[5] promote,#cultureofhealth [5] #cultureofhealth,use [5] use,culture [5] culture,health [5] health,business [5] business,framework [5] framework,multi [5] multi,stakeholder [4] gri_secretariat,promote [4] stakeholder,consult Top Word Pairs in Tweet in G10:
[3] making,masks [2] local,wind [2] wind,surfing [2] surfing,manufacturers [2] manufacturers,shifted [2] shifted,processes [2] processes,began [2] began,making [2] masks,face [2] face,shields Top Replied-To in Entire Graph:
Top Replied-To in G7:
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: