The graph represents a network of 770 Twitter users whose recent tweets contained "#RiverRevitalisationDay", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 20,000 tweets. The network was obtained from Twitter on Sunday, 04 September 2022 at 18:03 UTC.
The tweets in the network were tweeted over the 1097-day, 6-hour, 28-minute period from Tuesday, 03 September 2019 at 10:43 UTC to Sunday, 04 September 2022 at 17:12 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 : 770
Unique Edges : 321
Edges With Duplicates : 1671
Total Edges : 1992
Number of Edge Types : 8
Retweet : 652
MentionsInRetweet : 706
Quote : 121
MentionsInQuote : 70
Mentions : 79
Tweet : 32
Replies to : 66
MentionsInReplyTo : 266
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.00286259541984733
Reciprocated Edge Ratio : 0.00570884871550904
Connected Components : 9
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 760
Maximum Edges in a Connected Component : 1982
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.297611
Graph Density : 0.00177494806883624
Modularity : 0.396959
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 770 Twitter users whose recent tweets contained "#RiverRevitalisationDay", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 20,000 tweets. The network was obtained from Twitter on Sunday, 04 September 2022 at 18:03 UTC.
The tweets in the network were tweeted over the 1097-day, 6-hour, 28-minute period from Tuesday, 03 September 2019 at 10:43 UTC to Sunday, 04 September 2022 at 17:12 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 : TwitterSearch
Graph Term : #RiverRevitalisationDay
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:
[1074] ட,ட [714] ட,க [712] க,க [707] சத,க [707] க,ர [703] ர,வ [703] வ,ன [359] ம,ட [354] ற,க [354] க,ண Top Word Pairs in Tweet in G1:
[1011] ட,ட [671] ட,க [669] க,க [662] சத,க [661] க,ர [661] ர,வ [661] வ,ன [338] ம,ட [333] க,ண [333] ண,ட Top Word Pairs in Tweet in G2:
[27] ட,ட [18] சத,க [18] க,ர [18] ர,வ [18] வ,ன [18] ட,க [18] க,க [14] #riverrevitalisationday,#savesoil [14] #riverrevitalisationday,sadhgurujv [13] earth,kidneys Top Word Pairs in Tweet in G3:
[103] noble,gesture [103] gesture,celebrate [103] celebrate,birthday [103] birthday,sadhguruji [103] sadhguruji,#riverrevitalisationday [103] #riverrevitalisationday,wish [103] wish,very [103] very,happy [103] happy,bday [102] gssjodhpur,noble Top Word Pairs in Tweet in G4:
[54] happy,birthday [48] very,happy [46] wish,very [45] birthday,sadhgurujv [45] #riverrevitalisationday,#sep3 [36] sadhgurujv,#riverrevitalisationday [24] sadhgurujv,wish [16] sadhgurujv,ji [14] sadhgurujv,ishafoundation [13] #riverrevitalisationday,#savesoil Top Word Pairs in Tweet in G5:
[85] rivers,very [85] very,basis [85] basis,lives [85] lives,#riverrevitalisationday [85] #riverrevitalisationday,pledge [85] pledge,protect [85] protect,very [85] very,source [84] vikassingh218,rivers [84] source,live Top Word Pairs in Tweet in G8:
[2] cauvery,calling Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: