The graph represents a network of 129 Twitter users whose tweets in the requested range contained "merckformothers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 22:26 UTC.
The requested start date was Tuesday, 12 May 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, 19-hour, 32-minute period from Tuesday, 28 April 2020 at 00:18 UTC to Monday, 11 May 2020 at 19:50 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 : 129
Unique Edges : 95
Edges With Duplicates : 237
Total Edges : 332
Number of Edge Types : 5
Retweet : 79
MentionsInRetweet : 108
Tweet : 20
Mentions : 118
Replies to : 7
Self-Loops : 20
Reciprocated Vertex Pair Ratio : 0.0526315789473684
Reciprocated Edge Ratio : 0.1
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 128
Maximum Edges in a Connected Component : 330
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.486054
Graph Density : 0.0109011627906977
Modularity : 0.353503
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 129 Twitter users whose tweets in the requested range contained "merckformothers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 22:26 UTC.
The requested start date was Tuesday, 12 May 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, 19-hour, 32-minute period from Tuesday, 28 April 2020 at 00:18 UTC to Monday, 11 May 2020 at 19:50 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 : merckformothers
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:
[40] #mayisformothers,month [40] re,celebrating [40] celebrating,mothers [40] mothers,impact [40] impact,lives [40] raising,awareness [39] merckformothers,#mayisformothers [23] weâ,re [22] month,weâ [22] lives,✠Top Word Pairs in Tweet in G1:
[40] #mayisformothers,month [40] re,celebrating [40] celebrating,mothers [40] mothers,impact [40] impact,lives [40] raising,awareness [39] merckformothers,#mayisformothers [23] weâ,re [22] month,weâ [22] lives,✠Top Word Pairs in Tweet in G2:
[5] health,systems [5] reflections,sciam [5] sciam,#covid19 [5] #covid19,pandemic [5] pandemic,merckformothers [5] merckformothers,partners [5] partners,teaching [4] systems,adhere [4] adhere,#covid19 [4] #covid19,ramp Top Word Pairs in Tweet in G3:
[3] report's,recommendations [3] recommendations,#perinatal [3] #perinatal,care [3] care,#nj [3] #nj,align [3] align,#nurturenj [3] #nurturenj,improve [3] improve,#maternalhealth [3] #maternalhealth,outcomes [3] thanks,jill Top Word Pairs in Tweet in G4:
[3] thank,nurses [3] nurses,merckformothers [3] merckformothers,collaborators [3] collaborators,lifesaving [3] lifesaving,support [3] support,mothers [3] mothers,families [2] each,woman [2] woman,access [2] access,quality Top Word Pairs in Tweet in G6:
[2] executive,director [2] director,merckformothers [2] helping,address [2] address,maternal [2] maternal,health [2] health,needs Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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:
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Top Mentioned in G7:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G8: