The graph represents a network of 5,455 Twitter users whose recent tweets contained "scicomm", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 23:53 UTC.
The tweets in the network were tweeted over the 1464-day, 19-hour, 58-minute period from Friday, 01 March 2019 at 04:59 UTC to Sunday, 05 March 2023 at 00:57 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5455
Unique Edges : 4600
Edges With Duplicates : 9361
Total Edges : 13961
Number of Edge Types : 9
Retweet : 3401
MentionsInRetweet : 5699
Mentions : 1697
Quote : 285
Tweet : 778
MentionsInReplyTo : 1032
Replies to : 434
MentionsInQuoteReply : 15
MentionsInQuote : 620
Self-Loops : 1379
Reciprocated Vertex Pair Ratio : 0.0664221678891606
Reciprocated Edge Ratio : 0.124570118456248
Connected Components : 573
Single-Vertex Connected Components : 149
Maximum Vertices in a Connected Component : 2772
Maximum Edges in a Connected Component : 8581
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.557135
Graph Density : 0.000263885233619604
Modularity : 0.537017
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,455 Twitter users whose recent tweets contained "scicomm", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 23:53 UTC.
The tweets in the network were tweeted over the 1464-day, 19-hour, 58-minute period from Friday, 01 March 2019 at 04:59 UTC to Sunday, 05 March 2023 at 00:57 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[173] life,#biomass [173] #biomass,#science [173] #infographic,#design [173] #art,#life [173] biomass,life [173] visualizing,biomass [173] #earth,#infographic [173] #life,#earth [173] #science,#poster [173] #poster,#art Top Word Pairs in Tweet in G1:
[28] #scicomm,#sciart [18] #agublogs,#oceandecade [18] science,2023 [18] 2023,guertin [18] announcing,stitch [18] #sciart,#agublogs [18] guertin,#scicomm [18] ocean,science [18] stitch,ocean [17] more,accessible Top Word Pairs in Tweet in G2:
[137] science,writers [119] lab,leak [118] one,important [118] good,context [118] takeaway,fauci [118] leak,assessment [118] assessment,one [118] context,doe [118] reporters,fresh [118] ny,times Top Word Pairs in Tweet in G3:
[171] #infographic,#design [171] life,#biomass [171] #life,#earth [171] #earth,#infographic [171] biomass,life [171] visualizing,biomass [171] #art,#life [171] #biomass,#science [171] #poster,#art [171] #science,#poster Top Word Pairs in Tweet in G4:
[52] #dhpsp,#scicomm [42] #gratitude,#inpst [42] #inpst,#scicomm [31] #gratitude,#dhpsp [23] #inpst,#dhpsp [20] flavonoids,leaves [20] stems,rhodiola [20] rhodiola,ishidae [20] crassulaceae,#inpst [20] leaves,stems Top Word Pairs in Tweet in G5:
[13] #scicomm,#science [9] #mcc28,#scicomm [9] #mccupf,#mcc28 [9] #scicomm,#comunicaciencia [8] #scicomm,#sciencetwitter [8] #sciencetwitter,#edutwitter [7] jour,fait [7] #sciencecommunication,#commsci [7] #science,#sciencecommunication [7] #vulgarisationscientifique,#sciencesalacarte Top Word Pairs in Tweet in G6:
[13] #communication,expert [13] seeking,#citizenscience [13] expert,#horizon [13] ibercivis,seeking [13] hiring,ibercivis [13] #horizon,europe [13] #citizenscience,#communication [13] europe,projects [11] ibercivis,hiring [9] ijerph_mdpi,special Top Word Pairs in Tweet in G7:
[18] #scichat,#scicomm [17] #dinosaurs,#fossils [14] better,frustrating [14] handle,uncertainty [14] #scied,#scicomm [14] frustrating,polarized [14] polarized,discourse [14] leads,over [14] discourse,immediately [14] immediately,leads Top Word Pairs in Tweet in G8:
[44] animals,depend [37] fall,2023 [35] coming,fall [35] discover,host [35] find,food [35] moon,find [35] safe,migrate [35] stay,safe [35] food,stay [35] migrate,more Top Word Pairs in Tweet in G9:
[37] those,background [37] fantastic,editorial [37] hiring,come [37] interested,career [37] come,join [37] editorial,team [37] join,fantastic [37] #scicomm,hiring [37] team,those [37] career,#scicomm Top Word Pairs in Tweet in G10:
[4] look,kanaries_data [4] data,analysis [4] work,data [4] visual,tool [4] please,take [4] insights,datasets [4] kanaries_data,visual [4] analysis,please [4] take,look [4] tool,finding Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: