The graph represents a network of 11 Twitter users whose tweets in the requested range contained "#GreenChemicals", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 December 2021 at 03:51 UTC.
The requested start date was Tuesday, 14 December 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 10-day, 4-hour, 11-minute period from Tuesday, 30 November 2021 at 10:39 UTC to Friday, 10 December 2021 at 14:50 UTC.
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 : 11
Unique Edges : 2
Edges With Duplicates : 21
Total Edges : 23
Number of Edge Types : 4
Tweet : 10
Retweet : 6
MentionsInRetweet : 6
Mentions : 1
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 7
Maximum Edges in a Connected Component : 11
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.345455
Graph Density : 0.0636363636363636
Modularity : 0.295369
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11 Twitter users whose tweets in the requested range contained "#GreenChemicals", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 December 2021 at 03:51 UTC.
The requested start date was Tuesday, 14 December 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 10-day, 4-hour, 11-minute period from Tuesday, 30 November 2021 at 10:39 UTC to Friday, 10 December 2021 at 14:50 UTC.
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 : #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:
[6] #biomass,conversion [6] conversion,#greenchemicals [6] #greenchemicals,#biofuels [6] #biofuels,evaluating [6] evaluating,process [6] process,#sustainability [6] #sustainability,#lca [5] jestebanchemeng,#biomass [3] free,webinar [3] webinar,renewable Top Word Pairs in Tweet in G1:
[6] #biomass,conversion [6] conversion,#greenchemicals [6] #greenchemicals,#biofuels [6] #biofuels,evaluating [6] evaluating,process [6] process,#sustainability [6] #sustainability,#lca [5] jestebanchemeng,#biomass Top Word Pairs in Tweet in G2:
[3] gã,nã [2] #greenchemicals,#5aralä [2] tã,madenlerde [2] madenlerde,retim [2] retim,sã [2] sã,reã [2] reã,lerinin [2] lerinin,sorunsuz [2] sorunsuz,ve [2] ve,daha Top Word Pairs in Tweet in G3:
[3] free,webinar [3] webinar,renewable [3] renewable,carbon [3] carbon,strategy [3] strategy,initiative [3] initiative,december [3] december,join [3] join,answers [3] answers,questions [3] questions,#renewablecarbon Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: