The graph represents a network of 654 Twitter users whose recent tweets contained "#GreenChemicals", 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 03:47 UTC.
The tweets in the network were tweeted over the 4779-day, 7-hour, 10-minute period from Sunday, 03 January 2010 at 03:25 UTC to Friday, 03 February 2023 at 10:35 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 : 654
Unique Edges : 556
Edges With Duplicates : 1447
Total Edges : 2003
Number of Edge Types : 8
Retweet : 274
MentionsInRetweet : 422
Tweet : 829
Mentions : 299
Quote : 28
Replies to : 71
MentionsInReplyTo : 63
MentionsInQuote : 17
Self-Loops : 935
Reciprocated Vertex Pair Ratio : 0.04858934169279
Reciprocated Edge Ratio : 0.0926756352765321
Connected Components : 185
Single-Vertex Connected Components : 104
Maximum Vertices in a Connected Component : 71
Maximum Edges in a Connected Component : 623
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.720332
Graph Density : 0.00156651727383846
Modularity : 0.357467
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 654 Twitter users whose recent tweets contained "#GreenChemicals", 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 03:47 UTC.
The tweets in the network were tweeted over the 4779-day, 7-hour, 10-minute period from Sunday, 03 January 2010 at 03:25 UTC to Friday, 03 February 2023 at 10:35 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 : #GreenChemicals
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:
[163] green,chemicals [75] #green,#chemicals [53] #greenchemicals,#green [48] #chemicals,#greenchemicals [41] ar,ge [37] based,chemicals [36] geo,treat [36] bio,based [34] interested,#massspec [31] mine,treat Top Word Pairs in Tweet in G1:
[22] green,chemicals [7] eco,friendly [6] #greenchemicals,#ecochem [5] #ecofriendly,#greenchemicals [5] #greenchemicals,#sustainability [4] global,green [4] chemicals,market [4] eco,green [4] #greenchemicals,market [4] green,chemistry Top Word Pairs in Tweet in G2:
[34] interested,#massspec [27] #metabolomics,#fluxomics [26] #massspec,#metabolomics [25] researcher,interested [22] uon_pharmacy,uonresearch [20] exciting,uon_pharmacy [20] uon_pharmacy,uniofnottingham [20] exciting,doc [20] uniofnottingham,researchers [20] researchers,interested Top Word Pairs in Tweet in G3:
[17] #greenchemicals,#biobasedchemicals [13] green,chemicals [10] #greenchemicals,#greenchemistry [9] green,chemistry [9] bio,based [9] chemicals,#greenchemicals [5] supply,chain [5] based,chemicals [5] #greenchemicals,#chemicals [4] #greenchemistry,#biobasedchemicals Top Word Pairs in Tweet in G4:
[7] #greenchemicals,market [5] 2018,researchbeam [5] market,2018 [2] market,researchbeam Top Word Pairs in Tweet in G5:
[112] green,chemicals [75] #green,#chemicals [40] #greenchemicals,#green [40] ar,ge [36] geo,treat [36] #chemicals,#greenchemicals [31] mine,treat [30] #global,#brand [29] treat,ürün [27] wet,treat Top Word Pairs in Tweet in G6:
[4] women4earth,efforts [4] based,chemicals [4] safe,#chemicals [4] #chemicals,act [4] efforts,safe [4] thx,maxbaucus [4] act,bringing [4] bio,based [4] jontester,women4earth [4] maxbaucus,jontester Top Word Pairs in Tweet in G7:
[14] #tobacco,#greenchemicals [13] tytonbio,tytonbio [7] #greenchemicals,#biofuel [6] tytonbio,#tobacco [5] ready,conversion [5] #tobacco,cut [5] hq,cityofdanville [5] conversion,#greenchemicals [5] pilot,processor [5] tytonbio,using Top Word Pairs in Tweet in G8:
[21] #safefood,#cleanwater [18] #cleanwater,#greenchemicals [5] planet,#safefood [5] #bigdata,#biochemistry [5] mega,trends [5] impacting,planet [5] #engineeredtechnology,essential [5] #biochemistry,#engineeredtechnology [5] essential,address [5] trends,impacting Top Word Pairs in Tweet in G9:
[6] creatures,continue [6] better,place [6] oceans,better [6] make,oceans [4] scmsmartchem,make [4] saving,planet [3] vibrant,colors [3] continue,surprising [3] place,living [3] planet,water Top Word Pairs in Tweet in G10:
[3] marilyn,bruno [2] cindy,lin [2] store,brings [2] lin,aquacycl [2] prevent,mold [2] talks,advanced [2] leadership,conference [2] researchers,circagroup [2] nature,remedy [2] #greenchemicals,improve Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: