The graph represents a network of 465 Twitter users whose recent tweets contained "#WWWeek OR nywaterweek OR nyww", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/13/2023 7:02:00 AM and 3/20/2023 7:02:00 AM. The network was obtained from Twitter on Monday, 20 March 2023 at 14:04 UTC.
The tweets in the network were tweeted over the 23-day, 20-hour, 2-minute period from Friday, 24 February 2023 at 17:53 UTC to Monday, 20 March 2023 at 13:56 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 : 465
Unique Edges : 583
Edges With Duplicates : 1039
Total Edges : 1622
Number of Edge Types : 9
Retweet : 248
MentionsInRetweet : 519
Mentions : 240
Quote : 18
Tweet : 58
MentionsInReplyTo : 435
Replies to : 60
MentionsInQuote : 41
MentionsInQuoteReply : 3
Self-Loops : 108
Reciprocated Vertex Pair Ratio : 0.0434782608695652
Reciprocated Edge Ratio : 0.0833333333333333
Connected Components : 27
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 407
Maximum Edges in a Connected Component : 1536
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.569109
Graph Density : 0.00433815350389321
Modularity : 0.395287
NodeXL Version : 1.0.1.510
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=291658
Data Import : The graph represents a network of 465 Twitter users whose recent tweets contained "#WWWeek OR nywaterweek OR nyww", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/13/2023 7:02:00 AM and 3/20/2023 7:02:00 AM. The network was obtained from Twitter on Monday, 20 March 2023 at 14:04 UTC.
The tweets in the network were tweeted over the 23-day, 20-hour, 2-minute period from Friday, 24 February 2023 at 17:53 UTC to Monday, 20 March 2023 at 13:56 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 : #WWWeek OR nywaterweek OR nyww
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:
[55] water,week [29] ny,water [28] register,event [22] york,water [19] #un2023waterconference,#nyww [19] march,21 [18] please,register [18] nyc,march [18] 21,join [18] join,#wateraction Top Word Pairs in Tweet in G1:
[27] register,event [18] 21,join [18] please,register [18] event,nyc [18] march,21 [18] nyc,march [18] join,#wateraction [16] #wateraction,#un2023watercon [16] alex_verbeek,please [13] wwf,wwtworldwide Top Word Pairs in Tweet in G2:
[13] #nyww,join [10] cities',member [10] #un2023waterconference,meet [10] urban,resilience [10] cities,urban [10] member,cities [10] nywaterweek,#un2023waterconference [10] attending,nywaterweek [10] meet,cities' [10] water,week Top Word Pairs in Tweet in G3:
[16] water,week [13] ny,water [10] opening,remarks [10] water,technical [10] remarks,water [10] henkovink,opening [10] challenge,something [10] technical,challenge [10] something,approach [9] waterasleverage,henkovink Top Word Pairs in Tweet in G4:
[8] water,week [6] #globalwater,#water4climate [6] 30,pm [5] stop,water [5] headed,#un2023waterconference [5] #un2023waterconference,york [5] space,millennium [5] millennium,hilton [5] water,conference [5] knowledge,space Top Word Pairs in Tweet in G5:
[14] científicas,estamos [14] nywaterweek,2023 [14] watercommongood,declara [14] días,nywaterweek [14] declara,evidencias [14] 2023,watercommongood [14] evidencias,científicas [14] pocos,días [13] bernatxavier,pocos [13] estamos,inmer Top Word Pairs in Tweet in G6:
[2] climatecaucus,healthvermont [2] repbeccab,kesharam [2] kesharam,climatecaucus [2] hillaryclinton,mmflint [2] senschumer,sensanders [2] sensanders,hillaryclinton [2] healthvermont,uvmhealth [2] mmflint,repbeccab Top Word Pairs in Tweet in G7:
[4] commitment,#wateractiondecade [3] ideas,commitments [3] #wateraction,ideas [3] core,#wateraction [3] seven,core [3] #wateractiondecade,seven [2] #sdg6,#sdg15 [2] person,sideevent#w175 [2] full,program [2] program,undesa Top Word Pairs in Tweet in G8:
[3] water,sector [3] water,sanitation [2] shower,luxury [2] water,film [2] minorities,people [2] bring,diverse [2] diverse,peoples [2] film,festival [2] hot,shower [2] work,hidden Top Word Pairs in Tweet in G9:
[10] water,week [4] york,water [4] 2023,water [4] water,conference [3] 18,24 [2] ny,water [2] water,safety [2] 24,march Top Word Pairs in Tweet in G10:
[4] water,andes [4] festival,nywaterweek [4] water,film [4] andes,amazonia [4] amazonia,part [4] film,festival [4] world,water [4] part,world [3] documentary,water [3] woaw,documentary Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: