The graph represents a network of 5,758 Twitter users whose recent tweets contained "Mental health food", 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 Thursday, 16 April 2020 at 13:21 UTC.
The tweets in the network were tweeted over the 7-day, 17-hour, 32-minute period from Wednesday, 08 April 2020 at 19:33 UTC to Thursday, 16 April 2020 at 13:06 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 : 5758
Unique Edges : 6479
Edges With Duplicates : 224
Total Edges : 6703
Number of Edge Types : 5
Replies to : 747
Mentions : 1326
Retweet : 1618
Tweet : 824
MentionsInRetweet : 2188
Self-Loops : 848
Reciprocated Vertex Pair Ratio : 0.00503647099687391
Reciprocated Edge Ratio : 0.0100224641437705
Connected Components : 1432
Single-Vertex Connected Components : 475
Maximum Vertices in a Connected Component : 123
Maximum Edges in a Connected Component : 624
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.311818
Graph Density : 0.000174576423657612
Modularity : 0.902883
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 5,758 Twitter users whose recent tweets contained "Mental health food", 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 Thursday, 16 April 2020 at 13:21 UTC.
The tweets in the network were tweeted over the 7-day, 17-hour, 32-minute period from Wednesday, 08 April 2020 at 19:33 UTC to Thursday, 16 April 2020 at 13:06 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 : Mental health food
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:
[3936] mental,health [316] food,mental [283] health,support [253] food,shelter [233] health,issues [227] covid,19 [178] past,trauma [170] health,resources [160] need,help [158] domestic,violence Top Word Pairs in Tweet in G1:
[450] mental,health [29] food,mental [25] health,support [24] covid,19 [21] physical,mental [19] junk,food [19] physical,health [18] mental,physical [17] health,services [16] health,food Top Word Pairs in Tweet in G2:
[110] mental,health [90] need,help [84] struggling,need [84] help,regards [84] regards,food [84] food,shelter [84] shelter,mental [84] health,social [84] social,assistance [84] assistance,please Top Word Pairs in Tweet in G3:
[86] mental,health [41] health,focused [41] focused,lockdown [41] lockdown,issue [41] issue,well [41] well,think [41] think,#newstarterfurlough [41] #newstarterfurlough,people [41] people,feel [41] feel,rishisunak Top Word Pairs in Tweet in G4:
[104] mental,health [77] community,group [77] group,guangzhou [77] guangzhou,looking [77] looking,volunteers [77] volunteers,support [77] support,africans [77] africans,china [77] china,impacted [77] impacted,discriminatory Top Word Pairs in Tweet in G5:
[90] mental,health [88] annelongfield,vulnerable [88] vulnerable,children [88] children,exposed [88] exposed,cocktail [88] cocktail,secondary [88] secondary,risks [88] risks,lack [88] lack,food [88] food,house Top Word Pairs in Tweet in G6:
[178] past,trauma [89] same,ppl [89] ppl,saying [89] saying,months [89] months,enough [89] enough,relationship [89] relationship,ones [89] ones,saying [89] saying,partner [89] partner,handle Top Word Pairs in Tweet in G7:
[66] kota,students [53] mental,health [36] food,mental [33] respect,steps [33] steps,taken [33] taken,goverment [33] goverment,kota [33] students,suffering [33] suffering,terms [33] terms,food Top Word Pairs in Tweet in G8:
[26] mental,health [8] physical,mental [8] need,food [8] health,benefits [7] johncardillo,dbongino [7] dbongino,govwhitmer [7] govwhitmer,people [7] people,need [7] food,produce [7] produce,garden Top Word Pairs in Tweet in G9:
[63] mental,health [60] 100,international [60] international,students [60] students,collect [60] collect,food [60] food,hampers [60] hampers,addi_road [60] addi_road,sydney [60] sydney,tomorrow [60] tomorrow,need Top Word Pairs in Tweet in G10:
[67] climate,change [67] change,affects [67] affects,human [67] human,health [67] health,altering [67] altering,exposures [67] floods,droughts [67] droughts,extreme [67] extreme,events [67] events,reducing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: