The graph represents a network of 208 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 Friday, 08 November 2019 at 20:28 UTC.
The requested start date was Wednesday, 06 November 2019 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, 20-hour, 10-minute period from Wednesday, 23 October 2019 at 03:20 UTC to Tuesday, 05 November 2019 at 23:30 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 : 208
Unique Edges : 372
Edges With Duplicates : 251
Total Edges : 623
Number of Edge Types : 3
Mentions : 585
Replies to : 36
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0568181818181818
Reciprocated Edge Ratio : 0.10752688172043
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 203
Maximum Edges in a Connected Component : 618
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.871465
Graph Density : 0.0107998885172798
Modularity : 0.484789
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 208 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 Friday, 08 November 2019 at 20:28 UTC.
The requested start date was Wednesday, 06 November 2019 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, 20-hour, 10-minute period from Wednesday, 23 October 2019 at 03:20 UTC to Tuesday, 05 November 2019 at 23:30 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[15] maternal,mortality [14] première,dame [14] dame,#burundi [14] #burundi,1stladyburundi [14] 1stladyburundi,décorée [14] décorée,par [14] par,fondation [14] fondation,merckformothers [14] merckformothers,pour [14] pour,ses Top Word Pairs in Tweet in G1:
[14] première,dame [14] dame,#burundi [14] #burundi,1stladyburundi [14] 1stladyburundi,décorée [14] décorée,par [14] par,fondation [14] fondation,merckformothers [14] merckformothers,pour [14] pour,ses [14] ses,actions Top Word Pairs in Tweet in G2:
[8] msdformothers,metiebetmd [8] metiebetmd,temitayoe [8] temitayoe,iyadunnio1 [8] iyadunnio1,epiafric [8] epiafric,africarenigeria [8] africarenigeria,pharmaccessnig [8] pharmaccessnig,abimbolaonaolu [7] abimbolaonaolu,shopsplus [5] nighealthwatch,msdformothers [4] shopsplus,abtassociates Top Word Pairs in Tweet in G3:
[10] merck,merckformothers [9] merckformothers,everymomcounts [9] everymomcounts,runteamemc [9] metiebetmd,merck [5] runteamemc,start [5] start,#goldengatehalfmarathon [5] #goldengatehalfmarathon,#runthebridge [5] #runthebridge,raise [4] merck,colleagues [3] raise,awareness Top Word Pairs in Tweet in G4:
[8] new,jersey [8] jersey,currently [8] currently,5th [8] 5th,highest [8] highest,#maternalmortality [8] #maternalmortality,rate [8] rate,country [8] country,read [8] read,op [8] op,ed Top Word Pairs in Tweet in G6:
[8] addressing,maternal [8] maternal,mortality [8] mortality,forbes [5] metiebetmd,merckformothers [5] merckformothers,addressing [3] merck,mothers [3] mothers,addressing [3] forbes,merckformothers [2] momsrising,merck [2] merckformothers,#maternalju Top Word Pairs in Tweet in G8:
[3] today,joined [3] joined,pathfinderint [3] pathfinderint,colleagues [3] colleagues,partners [3] partners,facilitating [3] facilitating,training [3] training,patent [3] patent,proprietary [2] sulaiman2316059,today [2] proprietary,med Top Word Pairs in Tweet in G9:
[3] things,happening [3] happening,improve [3] improve,maternal [3] maternal,infant [3] infant,health [3] health,implicit [3] implicit,ummcnews [3] ummcnews,baby [3] baby,tobacco [3] tobacco,free Top Word Pairs in Tweet in G10:
[2] such,great [2] great,privilege [2] privilege,make [2] make,video [2] video,excellency [2] excellency,president [2] president,ghana [2] ghana,nakufoaddo [2] nakufoaddo,heads [2] heads,state Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: