The graph represents a network of 7,470 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, 16 May 2021 at 22:46 UTC.
The requested start date was Sunday, 16 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 0-hour, 2-minute period from Monday, 10 May 2021 at 17:19 UTC to Friday, 14 May 2021 at 17:22 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 : 7470
Unique Edges : 6936
Edges With Duplicates : 19987
Total Edges : 26923
Number of Edge Types : 5
Retweet : 5496
MentionsInRetweet : 11072
Mentions : 8896
Replies to : 425
Tweet : 1034
Self-Loops : 1245
Reciprocated Vertex Pair Ratio : 0.0438176781667086
Reciprocated Edge Ratio : 0.083956574185766
Connected Components : 448
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 6250
Maximum Edges in a Connected Component : 25182
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.065466
Graph Density : 0.000222875704182374
Modularity : 0.392278
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,470 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, 16 May 2021 at 22:46 UTC.
The requested start date was Sunday, 16 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 0-hour, 2-minute period from Monday, 10 May 2021 at 17:19 UTC to Friday, 14 May 2021 at 17:22 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[200] science,communication [186] science,research [174] research,knowing [174] knowing,everything [174] everything,looking [174] looking,smart [174] smart,being [174] being,'better' [174] 'better',others [174] others,working Top Word Pairs in Tweet in G1:
[71] jeremyfarrar,michelle_cruk [71] michelle_cruk,ukri_ceo [58] reneebleau,suzanne_garrett [49] psychmh,tracyboylin [44] ukri_ceo,universitiesuk [43] braincures,jeremyfarrar [39] evidencebase_im,techscommit [39] suzanne_garrett,marikasboros [38] evidencebase_im,braincures [37] ukri_ceo,evidencebase_im Top Word Pairs in Tweet in G2:
[70] science,communication [36] scicomm,final [36] final,made [36] made,infographic [36] infographic,spanish [36] spanish,vaccines [36] vaccines,hope [36] hope,distribute [36] #scientists,#journalists [35] carla_alumine,scicomm Top Word Pairs in Tweet in G3:
[57] #scicomm,#storytelling [42] learn,use [42] use,#sciart [42] #sciart,specifically [42] specifically,illustrations [42] illustrations,cartoon [42] cartoon,animations [42] animations,#scicomm [28] agu_scicomm,learn [25] #scicomm,#scicom Top Word Pairs in Tweet in G4:
[52] #dhpsp,#scicomm [32] gene,therapy [31] brand,very [31] very,amazing [31] amazing,data [31] data,50 [31] 50,bubble [31] bubble,babies [31] babies,rxd [31] rxd,next Top Word Pairs in Tweet in G5:
[54] science,slam [34] social,media [29] slam,canada [26] looking,role [26] role,involving [26] involving,#scipol [26] #scipol,research [26] research,#scicomm [26] #scicomm,come [26] come,join Top Word Pairs in Tweet in G6:
[164] science,research [163] research,knowing [163] knowing,everything [163] everything,looking [163] looking,smart [163] smart,being [163] being,'better' [163] 'better',others [163] others,working [163] working,help Top Word Pairs in Tweet in G7:
[8] #science,#scicomm [4] science,communication [4] #presentations,#presentation [4] #presentation,#scicomm [4] #scicomm,#medwiss [4] #medwiss,#medicalaffairs [4] #medicalaffairs,#medicalmarketing [4] #medicalmarketing,#medical [4] #medical,#marketing [4] #marketing,#msl Top Word Pairs in Tweet in G8:
[19] grad,students [17] #scicomm,#writersprogram100 [17] held,hybrid [17] hybrid,format [17] #scicomm,#sciencewriting [17] #sciencewriting,opportunity [17] opportunity,grad [17] students,pdf [17] pdf,canada [17] canada,join Top Word Pairs in Tweet in G9:
[75] heart,science [74] getting,heart [74] science,communication [73] today,day [73] day,book [73] book,getting [73] communication,officially [73] officially,available [73] available,islandpress [72] frkearns,today Top Word Pairs in Tweet in G10:
[24] times,looking [24] looking,#wildfires [24] #wildfires,false [24] false,positives [24] positives,parts [24] parts,novoportovskoye [24] novoportovskoye,field [23] pierre_markuse,times [23] field,gazpro [12] wanted,know Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: