The graph represents a network of 3,946 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, 22 November 2019 at 18:32 UTC.
The requested start date was Friday, 22 November 2019 at 13:48 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 13-day, 8-hour, 44-minute period from Friday, 08 November 2019 at 13:51 UTC to Thursday, 21 November 2019 at 22:35 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 : 3946
Unique Edges : 6307
Edges With Duplicates : 1819
Total Edges : 8126
Number of Edge Types : 3
Mentions : 7310
Tweet : 686
Replies to : 130
Self-Loops : 686
Reciprocated Vertex Pair Ratio : 0.0630863798123585
Reciprocated Edge Ratio : 0.118685331710286
Connected Components : 384
Single-Vertex Connected Components : 120
Maximum Vertices in a Connected Component : 2437
Maximum Edges in a Connected Component : 5797
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.669181
Graph Density : 0.000422175927621111
Modularity : 0.726548
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,946 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, 22 November 2019 at 18:32 UTC.
The requested start date was Friday, 22 November 2019 at 13:48 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 13-day, 8-hour, 44-minute period from Friday, 08 November 2019 at 13:51 UTC to Thursday, 21 November 2019 at 22:35 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 : citizenscience
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:
[175] #citizenscience,project [173] citizen,science [80] #citizenscience,projects [67] #citizenscience,data [65] bird,survey [64] breeding,bird [59] #cleanair,#school [57] #snakeid,challenge [55] others,#citizenscience [53] use,#citizenscience Top Word Pairs in Tweet in G1:
[56] citizen,science [31] primary,schools [28] call,papers [28] sustainable,development [28] #citizenscience,project [26] papers,special [26] special,issue [26] issue,#citizenscience [26] #citizenscience,role [26] role,sustainable Top Word Pairs in Tweet in G2:
[36] observation,day [33] more,details [32] inaturalist,observation [19] day,asian [19] asian,vine [19] vine,#snake [19] #snake,seen [19] seen,#thailand [19] #thailand,davidk91 [19] davidk91,more Top Word Pairs in Tweet in G3:
[25] hierholzer,weiher [25] weiher,ph [25] ph,wert [25] wert,hoch [25] hoch,liegt [25] liegt,aktuell [25] aktuell,00 [25] 00,#monitoring [25] #monitoring,#citizenscience [14] distributed,computing Top Word Pairs in Tweet in G4:
[54] #snakeid,challenge [39] challenge,back [39] back,nearly [39] nearly,10 [39] 10,000 [39] 000,images [39] images,whole [39] whole,world [26] world,open [26] open,18 Top Word Pairs in Tweet in G5:
[28] tree,frog [25] heard,frog [25] frog,record [25] record,frogid [25] frogid,app [25] app,image [21] wamuseum,heard [19] birdlife_news,taiwan [19] taiwan,partner [19] partner,#citizenscience Top Word Pairs in Tweet in G6:
[18] #citizenscience,project [13] biomedical,research [11] #citizenscience,#citsci [10] less,week [10] week,apply [10] apply,bashthebug [10] bashthebug,project [10] project,coordinator [10] coordinator,write [10] write,irreverent Top Word Pairs in Tweet in G7:
[49] use,#citizenscience [49] #citizenscience,data [30] looking,submissions [29] submissions,special [27] britishecolsoc,journals [26] animalecology,use [26] data,britishecolsoc [26] journals,looking [24] pan_bes,funecology [24] funecology,methodsecolevol Top Word Pairs in Tweet in G8:
[36] #openscience,#opendata [35] puppies,welcome [35] welcome,join [35] join,dogagingproject [35] dogagingproject,#citizenscience [35] #citizenscience,#dogs [35] #dogs,#openscience [34] dpromislow,puppies [10] identify,plant [10] plant,animal Top Word Pairs in Tweet in G9:
[59] #cleanair,#school [30] #school,montecitorio [19] #citizenscience,#cleanair [19] progetto,#citizenscience [17] #savethedate,prossimo [17] prossimo,#20novembre [17] #20novembre,82 [17] 82,#scuole [17] #scuole,distribuite [17] distribuite,32 Top Word Pairs in Tweet in G10:
[27] reading,book [21] difference,sleep [20] #thepeoplestrial,question [19] reading,bed [18] people,spoken [18] spoken,#thepeoplestrial [18] question,reading [18] bed,make [18] make,difference [18] sleep,comparison Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: