The graph represents a network of 4,696 Twitter users whose tweets in the requested range contained "sciam", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 20:57 UTC.
The requested start date was Sunday, 10 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 5-day, 5-hour, 56-minute period from Monday, 04 November 2019 at 19:01 UTC to Sunday, 10 November 2019 at 00:58 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 : 4696
Unique Edges : 6293
Edges With Duplicates : 3005
Total Edges : 9298
Number of Edge Types : 3
Mentions : 7981
Replies to : 853
Tweet : 464
Self-Loops : 464
Reciprocated Vertex Pair Ratio : 0.0185375901132853
Reciprocated Edge Ratio : 0.0364004044489383
Connected Components : 259
Single-Vertex Connected Components : 194
Maximum Vertices in a Connected Component : 4264
Maximum Edges in a Connected Component : 8781
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.877611
Graph Density : 0.000314000722070128
Modularity : 0.557092
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,696 Twitter users whose tweets in the requested range contained "sciam", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 20:57 UTC.
The requested start date was Sunday, 10 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 5-day, 5-hour, 56-minute period from Monday, 04 November 2019 at 19:01 UTC to Sunday, 10 November 2019 at 00:58 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 : sciam
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:
[275] 19,years [206] strain,19 [204] years,identified [196] first,new [190] studies,show [189] new,hiv [189] hiv,strain [151] sciam,opinion [136] suicide,prevention [133] need,educated Top Word Pairs in Tweet in G1:
[239] 19,years [179] strain,19 [177] years,identified [175] new,hiv [175] hiv,strain [168] first,new [139] sciam,opinion [136] studies,show [121] suicide,prevention [120] need,educated Top Word Pairs in Tweet in G2:
[98] â,œlisten [98] œlisten,scientists [97] ðÿš,gretathunberg's [97] gretathunberg's,message [97] message,clear [97] clear,â [97] scientists,recent [97] recent,ipcc_ch [97] ipcc_ch,ipbes [97] ipbes,new Top Word Pairs in Tweet in G3:
[131] whysharksmatter,sciam [130] publicly,honor [128] era,society [128] society,reconsidering [128] reconsidering,publicly [128] honor,renaming [128] renaming,schools [128] schools,removing [128] removing,statues [128] statues,scientists Top Word Pairs in Tweet in G4:
[42] ã,ã [13] brainsights,ios [10] sciam,mind [10] mind,brain [10] brain,brainsights [6] è,ã [5] ã,œã [5] ãƒ,ã [5] ðÿ,ðÿ [5] voyager,2 Top Word Pairs in Tweet in G5:
[48] ecosensenow,sciam [44] shawnadlink,sciam [36] anarchae0logist,shawnadlink [33] ecosensenow,frankwi74044551 [33] frankwi74044551,anarchae0logist [32] lynn_seguin,ecosensenow [27] sciam,global [25] read,caption [25] caption,under [25] under,fake Top Word Pairs in Tweet in G6:
[64] voyager,1 [32] astronomers,compared [32] compared,data [32] data,journeys [32] journeys,voyager [32] 1,2 [32] 2,made [32] made,interstellar [32] interstellar,space [32] space,found Top Word Pairs in Tweet in G7:
[79] took,3 [79] 3,981 [79] 981,work [79] work,hours [79] hours,model [79] model,chunk [79] chunk,mouse [79] mouse,brain [79] brain,holds [79] holds,89 Top Word Pairs in Tweet in G8:
[53] voyager,2 [32] interstellar,space [30] now,sciam [30] sciam,year [30] year,ago [30] ago,voyager [30] 2,entered [30] entered,interstellar [30] space,today [30] today,new Top Word Pairs in Tweet in G9:
[14] bluebirddrunken,msnbc [13] msnbc,sciam [7] annymahachai,bluebirddrunken [7] mistiblue,bluebirddrunken [4] zonephysics,newscientist [4] newscientist,sciam [4] sciam,elonmusk [4] amermedicalassn,sciam [3] vostok,ice [3] ice,core Top Word Pairs in Tweet in G10:
[74] mientras,tanto [74] tanto,hoy [74] hoy,dã [74] dã,histã [74] histã,rico [74] rico,porque [74] porque,hemos [74] hemos,sabido [74] sabido,oficialmente [74] oficialmente,#voyager2 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: