The graph represents a network of 8,598 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 January 2021 at 01:23 UTC.
The requested start date was Thursday, 14 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 6-hour, 15-minute period from Monday, 11 January 2021 at 03:04 UTC to Wednesday, 13 January 2021 at 09:20 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 : 8598
Unique Edges : 6734
Edges With Duplicates : 12222
Total Edges : 18956
Number of Edge Types : 5
Retweet : 5081
MentionsInRetweet : 7691
Replies to : 378
Mentions : 3948
Tweet : 1858
Self-Loops : 1983
Reciprocated Vertex Pair Ratio : 0.0199203187250996
Reciprocated Edge Ratio : 0.0390625
Connected Components : 1335
Single-Vertex Connected Components : 593
Maximum Vertices in a Connected Component : 5024
Maximum Edges in a Connected Component : 13556
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.060415
Graph Density : 0.000145460437074521
Modularity : 0.556482
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 8,598 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 January 2021 at 01:23 UTC.
The requested start date was Thursday, 14 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 6-hour, 15-minute period from Monday, 11 January 2021 at 03:04 UTC to Wednesday, 13 January 2021 at 09:20 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 : #climatechange
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:
[768] climate,change [157] #climatechange,#climateaction [149] #sdg6,#climatechange [148] venus,once [148] once,earth [148] made,uninhabitable [144] greenhouse,gas [143] earth,climate [142] change,made [141] uninhabitable,#space Top Word Pairs in Tweet in G1:
[100] climate,change [98] #climatechange,#climateaction [41] #climatechange,#climatecrisis [35] grey,cross [31] doo,doo [31] #climatechange,#climateemergency [30] saving,world [30] world,bent [30] cross,studios [30] job,opportunity Top Word Pairs in Tweet in G2:
[244] climate,change [140] venus,once [140] once,earth [140] made,uninhabitable [136] uninhabitable,#space [134] earth,climate [134] change,made [130] #space,#climatechange [127] wef,venus [109] greenhouse,gas Top Word Pairs in Tweet in G3:
[58] climate,change [23] kids,taking [23] taking,33 [23] court,failing [23] failing,#climatechange [23] #climatechange,need [22] 33,governments [22] governments,court [22] need,help [22] help,join Top Word Pairs in Tweet in G4:
[33] yrs,ago [18] year,#climatechange [17] #machhapuchhre,mountain [17] mountain,#nepal [17] #nepal,whose [17] whose,glory [17] glory,marked [17] marked,snow [17] snow,formed [17] formed,year Top Word Pairs in Tweet in G5:
[50] #climatechange,#biodiversity [30] #naturebasedsolutions,#climatechange [29] planting,trees [29] stakeholder,open [23] trees,such [23] such,invaluable [23] invaluable,#naturebasedsolutions [23] #climatechange,jfbastin [23] jfbastin,explains [23] explains,planting Top Word Pairs in Tweet in G6:
[136] #sdg6,#climatechange [116] #climatechange,#conservation [114] #ekboondhpani,#sdg6 [108] fills,bucket [106] pipe,fills [89] #waterconservationawareness,#waterconservationinitiative [87] #waterconservation,#waterconservationawareness [85] ekboondhpani,#contestalert [81] #contestalert,find [81] find,pipe Top Word Pairs in Tweet in G7:
[115] replace,bike [115] bike,replace [115] replace,shirt [114] unesco,replace [102] shirt,replace [102] replace,phone [102] phone,replace [102] replace,planet [100] planet,#climat [35] #climatechange,calls Top Word Pairs in Tweet in G8:
[15] #lgbtq,#womensrights [14] #womensrights,#humanrights [14] #humanrights,#climatechange [14] #climatechange,#environment [11] welcome,news [11] news,restoring [11] restoring,nature [11] nature,key [11] key,tackling [11] tackling,#climatechange Top Word Pairs in Tweet in G9:
[70] order,protect [70] protect,australia's [70] australia's,precious [70] precious,wildlife [70] wildlife,australian [70] australian,governments [70] governments,end [70] end,deforestation [70] deforestation,take [70] take,action Top Word Pairs in Tweet in G10:
[60] sdhamiltonvic,craigreucassel [50] craigreucassel,stanthorpeqld [43] #fightforplaneta,#water [42] hard,believe [42] believe,once [42] once,thriving [42] thriving,veggie [42] veggie,growing [42] growing,region [42] region,craigreucassel 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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Top Tweeters in G10: