The graph represents a network of 4,968 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 Sunday, 03 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, 18-hour, 50-minute period from Tuesday, 29 October 2019 at 20:40 UTC to Friday, 01 November 2019 at 15:30 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 : 4968
Unique Edges : 7334
Edges With Duplicates : 2125
Total Edges : 9459
Number of Edge Types : 3
Mentions : 8379
Tweet : 849
Replies to : 231
Self-Loops : 849
Reciprocated Vertex Pair Ratio : 0.0515478358313489
Reciprocated Edge Ratio : 0.0980418276275476
Connected Components : 465
Single-Vertex Connected Components : 130
Maximum Vertices in a Connected Component : 3486
Maximum Edges in a Connected Component : 7787
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.749303
Graph Density : 0.000304222036130895
Modularity : 0.698676
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,968 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 Sunday, 03 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, 18-hour, 50-minute period from Tuesday, 29 October 2019 at 20:40 UTC to Friday, 01 November 2019 at 15:30 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 : 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:
[130] re,hiring [129] hiring,ucdavis [129] ucdavis,lot [129] lot,top [129] top,unique [129] unique,research [129] research,#r1 [129] #r1,institution [129] institution,idyllic [129] idyllic,city Top Word Pairs in Tweet in G1:
[26] science,communication [22] looking,science [22] communication,teaching [22] teaching,fellow [22] fellow,join [22] join,wellington [22] wellington,team [22] team,2019 [22] 2019,half [22] half,time Top Word Pairs in Tweet in G2:
[15] #sciartink,day [14] amidotorg,#inktober2019 [14] #inktober2019,#penandink [13] social,media [13] check,out [11] #sciart,#scicomm [11] #scicomm,#science [10] #penandink,#ink [10] happy,halloween [8] #scicomm,folks Top Word Pairs in Tweet in G3:
[126] re,hiring [126] hiring,ucdavis [126] ucdavis,lot [126] lot,top [126] top,unique [126] unique,research [126] research,#r1 [126] #r1,institution [126] institution,idyllic [126] idyllic,city Top Word Pairs in Tweet in G4:
[27] artists,illustrators [27] #scicomm,#sciart [26] calling,artists [26] illustrators,louisiana [26] louisiana,need [26] need,local [26] local,artists [26] artists,#scicomm [26] #sciart,project [26] project,paid Top Word Pairs in Tweet in G5:
[32] _atanas_,#ff [19] #phdchat,#scicomm [13] #scicomm,#academicchatter [11] #inpst,#scicomm [11] #academicchatter,#academictwitter [8] #academicchatter,#scicomm [8] #ff,chefegomez [8] chefegomez,_inpst [8] _inpst,chocolatierep [8] chocolatierep,dra_teraizamesa Top Word Pairs in Tweet in G6:
[52] land,grant [52] grant,universities [45] #scicomm,report [45] faculty,attitudes [44] universities,#scicomm [44] report,out [44] out,provides [44] provides,first [44] first,comprehensive [44] comprehensive,assessment Top Word Pairs in Tweet in G7:
[5] #scicomm,#academicchatter [5] happy,halloween [5] #sciart,#scicomm [5] learn,more [4] #scicomm,#science [3] breast,cancer [3] land,grant [3] here,s [3] new,research [3] research,dept Top Word Pairs in Tweet in G8:
[24] thanks,thanks [17] #scicomm,#cdnpoli [13] men,prostate [13] prostate,cancer [13] cancer,prevalent [13] prevalent,cancer [13] cancer,mortality [13] mortality,rate [13] rate,34 [13] 34,breast Top Word Pairs in Tweet in G9:
[13] comscicon,atl [13] atl,2020 [11] applications,ready [11] ready,applications [11] applications,comscicon [11] 2020,open [11] open,friday [11] friday,open [11] open,through [10] here's,very Top Word Pairs in Tweet in G10:
[12] fluoride,won [12] won,t [12] t,make [12] make,dumber [12] dumber,debate [12] debate,safety [12] safety,picardonhealth [11] picardonhealth,fluoride [11] picardonhealth,vi [8] science,communication 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:
Top Tweeters in G1:
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Top Tweeters in G10: