The graph represents a network of 1,810 Twitter users whose tweets in the requested range contained "socialgood", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 November 2021 at 12:30 UTC.
The requested start date was Sunday, 14 November 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 12-day, 16-hour, 47-minute period from Sunday, 31 October 2021 at 01:22 UTC to Friday, 12 November 2021 at 18:09 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 : 1810
Unique Edges : 1237
Edges With Duplicates : 2846
Total Edges : 4083
Number of Edge Types : 5
Tweet : 1044
Mentions : 737
Retweet : 902
MentionsInRetweet : 1104
Replies to : 296
Self-Loops : 1088
Reciprocated Vertex Pair Ratio : 0.0438373570520966
Reciprocated Edge Ratio : 0.0839926962872794
Connected Components : 574
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 442
Maximum Edges in a Connected Component : 1094
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.00958
Graph Density : 0.000501788173924729
Modularity : 0.435541
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,810 Twitter users whose tweets in the requested range contained "socialgood", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 November 2021 at 12:30 UTC.
The requested start date was Sunday, 14 November 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 12-day, 16-hour, 47-minute period from Sunday, 31 October 2021 at 01:22 UTC to Friday, 12 November 2021 at 18:09 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 : socialgood
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:
[442] invitation,code [439] use,invitation [326] free,crypto [326] 10,000 [318] 15,staking [317] 000,unlimited [317] unlimited,times [317] times,15 [316] crypto,10 [299] staking,shop Top Word Pairs in Tweet in G1:
[355] invitation,code [354] use,invitation [201] socialgood,app [200] using,socialgood [200] crypto,free [200] free,use [199] app,same [199] same,amount [199] amount,spent [199] spent,shopping Top Word Pairs in Tweet in G2:
[94] free,crypto [91] 10,000 [89] 15,staking [88] crypto,10 [88] 000,unlimited [88] unlimited,times [88] times,15 [87] staking,shop [87] 800,famous [87] famous,stores Top Word Pairs in Tweet in G3:
[177] bro,literally [177] literally,getting [177] getting,100 [177] 100,money [177] money,back [177] back,app [177] app,called [177] called,socialgood [177] socialgood,#socialgoodapp_cryptoback [176] krispywrld,bro Top Word Pairs in Tweet in G4:
[201] fandom,sets [201] sets,patreon [201] patreon,survival [201] survival,tiers [201] #fundraiser,#fundraising [201] #fundraising,#donate [200] #donate,#community [137] #community,#support [137] #support,#help [135] #givingback,#donations Top Word Pairs in Tweet in G5:
[4] buzzfeednews,bluewave1431 [4] bluewave1431,conspiracymepod [4] conspiracymepod,dadothreee [4] dadothreee,fbidetroit [4] fbidetroit,acil_uva [4] acil_uva,equaljusticehi [4] equaljusticehi,nacdl [4] nacdl,lawyersofcolor [4] lawyersofcolor,blmiinc [4] blmiinc,cosbyis Top Word Pairs in Tweet in G6:
[20] public,private [19] miss,online [19] online,virtual [19] virtual,conference [19] conference,000 [19] 000,civic [19] civic,minded [19] minded,public [19] private,sector [19] sector,professionals Top Word Pairs in Tweet in G7:
[12] climate,change [7] world,leaders [6] change,conference [5] leaders,summit [4] around,world [4] climate,crisis [4] live,coverage [4] coverage,unfccc [3] climate,development [3] tomorrow,nov Top Word Pairs in Tweet in G8:
[2] activate1m1b,sdg2030 [2] sdg2030,roundworld [2] roundworld,awscloudindia [2] awscloudindia,nevatiaamit [2] nevatiaamit,aws_edu [2] aws_edu,sanashinjon [2] sanashinjon,thatanmolmishra [2] thatanmolmishra,keneisneredu Top Word Pairs in Tweet in G9:
[2] socialgood,#vaxxedforafrica [2] sex,trafficking [2] another,world [2] read,newest [2] newest,edition [2] edition,global [2] global,education [2] education,report [2] report,check [2] check,curated Top Word Pairs in Tweet in G10:
[9] un_women,bbcwomanshour [9] bbcwomanshour,womenspeacenw [9] womenspeacenw,womendeliver [9] womendeliver,cnnimpact [9] cnnimpact,bbcworldservice [9] bbcworldservice,nytimesworld [9] nytimesworld,unitedway [9] unitedway,davos [8] bhowmickanamik2,un_women [5] davos,wor Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: