The graph represents a network of 327 Twitter users whose recent tweets contained "cape town (food OR hunger OR hungry)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 13 April 2021 at 22:02 UTC.
The tweets in the network were tweeted over the 7-day, 9-hour, 28-minute period from Tuesday, 06 April 2021 at 06:46 UTC to Tuesday, 13 April 2021 at 16:14 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 : 331
Unique Edges : 355
Edges With Duplicates : 83
Total Edges : 438
Number of Edge Types : 5
Mentions : 59
Retweet : 215
Tweet : 94
Replies to : 36
MentionsInRetweet : 34
Self-Loops : 98
Reciprocated Vertex Pair Ratio : 0.0360655737704918
Reciprocated Edge Ratio : 0.069620253164557
Connected Components : 69
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 99
Maximum Edges in a Connected Component : 99
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.957791
Graph Density : 0.00289297811956422
Modularity : 0.701143
NodeXL Version : 1.0.1.445
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=252801
Data Import : The graph represents a network of 327 Twitter users whose recent tweets contained "cape town (food OR hunger OR hungry)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 13 April 2021 at 22:02 UTC.
The tweets in the network were tweeted over the 7-day, 9-hour, 28-minute period from Tuesday, 06 April 2021 at 06:46 UTC to Tuesday, 13 April 2021 at 16:14 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 : TwitterSearch
Graph Term : cape town (food OR hunger OR hungry)
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:
[295] cape,town [100] food,science [99] struggling,find [99] find,job [99] job,recent [99] recent,graduate [99] graduate,bsc [99] bsc,food [99] science,microbiology [99] microbiology,degree Top Word Pairs in Tweet in G1:
[99] struggling,find [99] find,job [99] job,recent [99] recent,graduate [99] graduate,bsc [99] bsc,food [99] food,science [99] science,microbiology [99] microbiology,degree [99] degree,currently Top Word Pairs in Tweet in G2:
[31] see,need [31] need,more [31] more,fast [31] fast,food [31] food,restaurants [31] restaurants,cape [31] cape,town [31] town,dik [31] dik,mcdonald [31] mcdonald,already Top Word Pairs in Tweet in G3:
[32] cape,town [26] city,cape [18] food,waste [15] organic,waste [14] organic,food [11] minimise,organic [11] waste,run [11] run,city [11] town,pilot [11] pilot,project Top Word Pairs in Tweet in G4:
[23] cape,town [4] food,safety [4] safety,officer [3] city,cape [2] back,cape [2] rlf,calls [2] calls,city [2] town,implement [2] implement,equitable [2] equitable,land Top Word Pairs in Tweet in G5:
[18] cape,town [15] thanks,metjahtebogo [15] metjahtebogo,retweet [15] retweet,regarding [15] regarding,educational [15] educational,trip [15] trip,cape [15] town,managed [15] managed,r3000 [15] r3000,flight Top Word Pairs in Tweet in G6:
[20] gathering,cape [20] cape,town [16] gt,bring [12] come,gather [12] music,food [12] food,people [8] lined,first [8] first,event [8] event,gt [8] gt,outdoor Top Word Pairs in Tweet in G7:
[5] family,cape [5] cape,town's [5] town's,samora [5] samora,machel [5] machel,informal [5] informal,settlement [5] settlement,lost [5] lost,two [5] two,children [5] children,suspected Top Word Pairs in Tweet in G8:
[3] water,insecurity [3] water,security [3] water,food [3] cape,town [2] session,topics [2] topics,include [2] third,session [2] session,water [2] insecurity,pandemic [2] pandemic,urban Top Word Pairs in Tweet in G9:
[4] zola,nene [4] nene,serves [4] serves,insights [4] insights,cape [4] cape,town's [4] town's,cuisine [4] cuisine,coffee [4] coffee,culture [4] culture,#foodiefriday [4] #foodiefriday,#iloveza Top Word Pairs in Tweet in G10:
[7] food,animal [7] animal,fodder [6] fodder,collected [6] collected,organisation [6] organisation,public [6] public,donations [6] donations,country [6] country,volunteers [6] volunteers,mainly [6] mainly,cape Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: