The graph represents a network of 335 Twitter users whose recent tweets contained "waterquality", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 05 January 2023 at 11:25 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 0-minute period from Monday, 26 December 2022 at 10:17 UTC to Thursday, 05 January 2023 at 10:18 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 Fruchterman-Reingold layout algorithm.
Vertices : 340
Unique Edges : 484
Edges With Duplicates : 149
Total Edges : 633
Self-Loops : 125
Reciprocated Vertex Pair Ratio : 0.0154185022026432
Reciprocated Edge Ratio : 0.0303687635574837
Connected Components : 94
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 50
Maximum Edges in a Connected Component : 150
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.135793
Graph Density : 0.00399965295852854
Modularity : 0.720542
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 335 Twitter users whose recent tweets contained "waterquality", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 05 January 2023 at 11:25 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 0-minute period from Monday, 26 December 2022 at 10:17 UTC to Thursday, 05 January 2023 at 10:18 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : waterquality
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[91] क,य [53] ग,क [50] रह,ह [48] ज,रह [48] य,ज [48] ल,ग [45] water,quality [44] न,क [41] क,क [36] learn,more Top Word Pairs in Tweet in G1:
[26] sea,interface [26] plymuni,cdt_summer [26] wholescape,systems [26] #coastalhabitat,restoration [26] amp,#ecosystemservices [26] upstream,#waterquality [26] #waterquality,downstream [26] thinking,land [26] downstream,#coastalhabitat [26] systems,thinking Top Word Pairs in Tweet in G2:
[8] त,र [7] र,narendramodi [7] र,म [7] श,र [7] य,प [6] नम,त [6] नन,य [6] र,श [6] gssjodhpur,prahladspatel [6] प,रध Top Word Pairs in Tweet in G3:
[90] क,य [49] ग,क [48] य,ज [48] ल,ग [48] ज,रह [48] रह,ह [40] क,क [39] न,क [30] #waterquality,#phedbihar [30] #phedbihar,#hargharnalkajal Top Word Pairs in Tweet in G4:
[16] #waterquality,#sewagepollution [11] space,#waterquality [11] watch,space [11] more,results [11] coming,weeks [11] weeks,watch [10] #waterquality,#cleanharbourspartnership [9] harbour,around [9] feature,thetimes [9] chichester,harbour Top Word Pairs in Tweet in G5:
[13] #copernicus,#opendata [13] food,production [13] growing,animal [13] trends,#blueeconomy [13] production,sector [13] nutrients,trends [13] sea,temperature [13] #dyk,#euspace [13] benefit,#copernicus [13] #waterquality,sea Top Word Pairs in Tweet in G6:
[6] emhasselquist,vickymosquera [6] article,nieminen [6] _slu,mikanluke [6] lukefinland,sykeint [6] post,drainage [6] stand,growth [6] colleagues,studied [6] drainage,stand [6] mineralization,water [6] featured,article Top Word Pairs in Tweet in G7:
[11] pls,rt [11] job,floods [11] #sudslab,instruments [11] floods,amp [11] improving,#waterquality [11] #waterquality,work [11] immingham,amp [11] come,amp [11] reducing,#flooding [11] #greenblue,infrastructure Top Word Pairs in Tweet in G8:
[11] groundwater,specialist [11] challenge,join [11] 2023,new [11] new,challenge [11] #vacancy,#vacancies [11] #waterjobs,#gisjobs [11] #gisjobs,#pythonjobs [11] specialist,#groundwater [11] join,team [11] #pythonjobs,#gis Top Word Pairs in Tweet in G9:
[14] levels,bacteria [14] more,#waterquality [14] work,here [14] full,results [14] bacteria,following [14] high,levels [14] detected,high [14] monitoring,work [14] see,image [14] image,full Top Word Pairs in Tweet in G10:
[21] #waterquality,#water [16] #water,#drinkingwater [9] drinking,water [7] #algae,#waterquality [7] overlooked,underappreciated [7] underappreciated,public [7] cyanotoxins,produced [7] #drinkingwater,#microbiology [7] layers,represent [7] deep,cyanobacteria Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
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: