The graph represents a network of 3,658 Twitter users whose recent tweets contained "citizenscience", 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 03:40 UTC.
The tweets in the network were tweeted over the 1763-day, 14-hour, 1-minute period from Thursday, 10 May 2018 at 10:50 UTC to Thursday, 09 March 2023 at 00:51 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 : 3658
Unique Edges : 3022
Edges With Duplicates : 9767
Total Edges : 12789
Number of Edge Types : 9
Retweet : 3505
MentionsInRetweet : 5355
MentionsInQuote : 297
Quote : 237
Tweet : 534
MentionsInReplyTo : 733
Mentions : 1794
Replies to : 318
MentionsInQuoteReply : 16
Self-Loops : 953
Reciprocated Vertex Pair Ratio : 0.0670122176971492
Reciprocated Edge Ratio : 0.125607217210271
Connected Components : 274
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 2534
Maximum Edges in a Connected Component : 10704
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.896885
Graph Density : 0.000430878982659139
Modularity : 0.401567
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,658 Twitter users whose recent tweets contained "citizenscience", 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 03:40 UTC.
The tweets in the network were tweeted over the 1763-day, 14-hour, 1-minute period from Thursday, 10 May 2018 at 10:50 UTC to Thursday, 09 March 2023 at 00:51 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 : 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:
[540] #earthquake,id [459] m5,#earthquake [439] raspishakeq,preliminary [434] preliminary,m5 [400] citizen,science [361] 2023,03 [317] #earthquake,recorded [308] 2023,02 [246] utc,raspishake [226] #raspberryshake,#citizenscience Top Word Pairs in Tweet in G1:
[203] citizen,science [54] final,event [45] #citizenscience,project [42] #citizenscience,projects [40] open,call [28] opportunities,#citizenscience [28] cos4cloud,final [28] looking,#citizenscience [26] science,month [26] ibercivis,seeking Top Word Pairs in Tweet in G2:
[536] #earthquake,id [457] m5,#earthquake [435] raspishakeq,preliminary [432] preliminary,m5 [357] 2023,03 [317] #earthquake,recorded [305] 2023,02 [244] utc,raspishake [226] #raspberryshake,#citizenscience [220] #citizenscience,seismic Top Word Pairs in Tweet in G3:
[91] #citizenscience,project [85] related,single [85] #human,#behavior [85] conducting,#research [85] team,conducting [85] #research,#human [85] single,use [85] use,#plastics [85] #behavior,related [84] #france,#italy Top Word Pairs in Tweet in G4:
[41] #citizenscience,projekt [25] die,plätze [24] citizen,science [17] 24,märz [16] mitforschen,24 [15] nächste,woche [14] colouring,dresden [13] offizieller,auftakt [13] dresden,colouringdd [13] projekt,colouring Top Word Pairs in Tweet in G5:
[22] come,join [21] #visualization,#citizenscience [19] development,manager [19] opportunity,work [17] citizen,science [16] use,good [16] #citizenscience,#conservation [16] engage,people [16] positions,within [16] team,freshwaterbio Top Word Pairs in Tweet in G6:
[37] #phdposition,#edna [35] people,come [35] work,#whales [35] #whales,#edna [35] #trophicinteractions,#citizenscience [35] #edna,#popgen [35] #edna,people [35] #popgen,#trophicinteractions [35] come,work [34] bettina_thal,#phdposition Top Word Pairs in Tweet in G7:
[25] moths,climate [25] climate,change [25] look,work [25] lisbethhordley,coming [25] led,lisbethhordley [25] gb,moths [25] accepted,look [25] coming,soon [25] work,gb [25] change,led Top Word Pairs in Tweet in G8:
[25] open,science [21] science,conference [21] conference,2023 [21] ucl,open [15] theme,'open [15] year's,theme [14] 2023,tickets [14] explore,exciting [14] tickets,available [14] program,year's Top Word Pairs in Tweet in G9:
[8] announced,very [8] way,start [8] purr,petrel [8] start,#seabirdersaturday [8] street,book [8] petrel,street [8] book,announced [8] very,happy [8] happy,way [7] jncc_ukseabirds,purr Top Word Pairs in Tweet in G10:
[58] nature,map [41] canberra,nature [37] featured,sighting [37] map,featured [31] #naturemapr,#citizenscience [26] #citizenscience,#biodiversity [19] significant,sighting [19] naturemapr,canberra [19] map,significant [18] #citizenscience,citscioz Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: