The graph represents a network of 4,708 Twitter users whose tweets in the requested range contained "scicomm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 00:41 UTC.
The requested start date was Sunday, 03 November 2019 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 2-day, 23-hour, 44-minute period from Thursday, 31 October 2019 at 00:16 UTC to Sunday, 03 November 2019 at 00:00 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 : 4708
Unique Edges : 7307
Edges With Duplicates : 2314
Total Edges : 9621
Number of Edge Types : 3
Mentions : 8548
Tweet : 845
Replies to : 228
Self-Loops : 845
Reciprocated Vertex Pair Ratio : 0.0567247386759582
Reciprocated Edge Ratio : 0.107359535742548
Connected Components : 436
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 3330
Maximum Edges in a Connected Component : 8000
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.755724
Graph Density : 0.000342139430075671
Modularity : 0.679056
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,708 Twitter users whose tweets in the requested range contained "scicomm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 00:41 UTC.
The requested start date was Sunday, 03 November 2019 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 2-day, 23-hour, 44-minute period from Thursday, 31 October 2019 at 00:16 UTC to Sunday, 03 November 2019 at 00:00 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 : scicomm
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:
[110] re,hiring [110] hiring,ucdavis [110] ucdavis,lot [110] lot,top [110] top,unique [110] unique,research [110] research,#r1 [110] #r1,institution [110] institution,idyllic [110] idyllic,city Top Word Pairs in Tweet in G1:
[30] science,communication [28] half,time [27] looking,science [27] communication,teaching [27] teaching,fellow [27] fellow,join [27] join,wellington [27] wellington,team [27] team,2019 [27] 2019,half Top Word Pairs in Tweet in G2:
[110] re,hiring [110] hiring,ucdavis [110] ucdavis,lot [110] lot,top [110] top,unique [110] unique,research [110] research,#r1 [110] #r1,institution [110] institution,idyllic [110] idyllic,city Top Word Pairs in Tweet in G3:
[16] seeking,expert [16] expert,#science [16] #science,communicator [16] communicator,team [16] team,alda [16] alda,civic [16] civic,science [16] science,fellow [16] fellow,develop [16] develop,#communication Top Word Pairs in Tweet in G4:
[21] happy,halloween [21] halloween,celestial [21] celestial,screaming [21] screaming,skull [21] skull,x [21] x,ray [21] ray,image [21] image,perseus [21] perseus,cluster [21] cluster,galaxies Top Word Pairs in Tweet in G5:
[36] _atanas_,#ff [17] projects,gt [16] betteracademia,postdoc [16] postdoc,dilemma [16] dilemma,1 [16] 1,work [16] work,pis [16] pis,projects [16] gt,nothing [16] nothing,take Top Word Pairs in Tweet in G6:
[5] happy,halloween [5] #curingcancer,#scicomm [4] here,s [4] #sciart,#scicomm [4] learn,more [4] #research,#scicomm [4] #scicomm,#structuralbiology [3] #scicomm,#academicchatter [3] land,grant [3] find,out Top Word Pairs in Tweet in G7:
[9] interested,science [9] science,dissemination [9] dissemination,youtube [9] youtube,channel [9] channel,therapy [9] therapy,corner [9] corner,post [9] post,videos [9] videos,evidence [9] happy,halloween Top Word Pairs in Tweet in G8:
[16] #scicomm,#cdnpoli [11] modern,#science [10] #science,#scicomm [9] #scicomm,#science [8] #cdnpoli,#scicomm [6] #cdnpoli,#climatestrike [6] #climate,#gender [6] 350,000 [6] 000,gallons [6] 000,000 Top Word Pairs in Tweet in G9:
[13] here's,very [13] very,special [13] special,halloween [13] halloween,blog [13] blog,post [13] post,s [13] s,blob [13] blob,pleasure [13] pleasure,interviewing [13] interviewing,dr Top Word Pairs in Tweet in G10:
[20] social,media [16] #scipol,#scicomm [11] job,#ecology [11] #ecology,#entomology [11] #entomology,#scicomm [11] #scicomm,tweeps [11] tweeps,team [11] team,funded [11] funded,nsf [11] nsf,looking Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: