The graph represents a network of 4,115 Twitter users whose tweets in the requested range contained "citizenscience", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 October 2019 at 15:45 UTC.
The requested start date was Friday, 18 October 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 11-day, 14-hour, 54-minute period from Sunday, 06 October 2019 at 06:39 UTC to Thursday, 17 October 2019 at 21:33 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[277] citizen,science [137] #citizenscience,project [120] light,pollution [99] map,out [99] out,light [99] lost,night [99] #citizenscience,projects [98] help,map [97] forget,playing [97] playing,#candycrush Top Word Pairs in Tweet in G1:
[114] citizen,science [60] sustainable,development [59] paper,#citizenscience [56] development,goals [50] #citizenscience,#sdgs [49] #citizenscience,projects [40] observation,day [38] wow,wow [37] new,paper [37] nature,sustainability Top Word Pairs in Tweet in G2:
[105] light,pollution [93] map,out [93] out,light [92] help,map [92] lost,night [91] forget,playing [91] playing,#candycrush [91] #candycrush,idle [91] idle,times [91] times,help Top Word Pairs in Tweet in G3:
[37] berliner,#citizenscience [37] #citizenscience,tag [24] 24,oktober [21] informiert,euch [18] 1,berliner [12] tag,2019 [12] 2019,24 [12] oktober,mfnberlin [12] mfnberlin,schaut [12] schaut,#experimentierfeld Top Word Pairs in Tweet in G4:
[69] special,feature [54] #citizenscience,data [52] use,#citizenscience [48] looking,submissions [47] submissions,new [47] new,special [45] funecology,methodsecolevol [44] data,looking [44] feature,funecology [29] pan_bes,use Top Word Pairs in Tweet in G5:
[56] hierholzer,weiher [56] weiher,ph [56] ph,wert [56] #monitoring,#citizenscience [35] wert,hoch [35] hoch,liegt [35] liegt,aktuell [35] aktuell,7 [21] wert,nieder [21] nieder,aktuell Top Word Pairs in Tweet in G6:
[58] mum,bub [58] bub,eating [58] eating,sheoak [58] sheoak,during [58] during,redlandcouncil [58] redlandcouncil,urban [58] urban,koala [58] koala,count [58] count,#citizenscience [58] #citizenscience,#koala Top Word Pairs in Tweet in G7:
[27] citizen,science [23] schools,s [23] s,october [23] october,means [23] means,one [23] one,thing [23] thing,s [23] s,time [23] time,digging [23] digging,s Top Word Pairs in Tweet in G8:
[9] citizen,science [6] stay,tuned [5] poor,white [5] white,tailed [5] tailed,jackrabbit [5] jackrabbit,spotted [5] spotted,wearing [5] wearing,wrong [5] wrong,coat [5] coat,stay Top Word Pairs in Tweet in G9:
[12] debris,tracker [11] #citizenscience,projects [10] exxpedition,crew [10] summary,enhancing [10] enhancing,fieldwork [10] fieldwork,learning [10] learning,showcase [10] showcase,up [10] up,blog [10] blog,something Top Word Pairs in Tweet in G10:
[9] garden,monday [8] 4,000 [8] 000,citizen [8] citizen,scientists [8] scientists,completed [8] completed,more [8] more,35 [8] 35,000 [8] 000,classifications [8] classifications,#projectplumage Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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