The graph represents a network of 17,184 Twitter users whose recent tweets contained "#mentalhealth", 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 Wednesday, 22 January 2020 at 22:43 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 17-minute period from Tuesday, 21 January 2020 at 15:07 UTC to Wednesday, 22 January 2020 at 21:25 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 : 17184
Unique Edges : 22362
Edges With Duplicates : 6213
Total Edges : 28575
Number of Edge Types : 5
Mentions : 6982
MentionsInRetweet : 9937
Tweet : 5416
Retweet : 5379
Replies to : 861
Self-Loops : 5603
Reciprocated Vertex Pair Ratio : 0.0132927846176485
Reciprocated Edge Ratio : 0.0262368089844128
Connected Components : 3873
Single-Vertex Connected Components : 2169
Maximum Vertices in a Connected Component : 8693
Maximum Edges in a Connected Component : 18210
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.845717
Graph Density : 6.99624515200648E-05
Modularity : 0.73736
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 17,184 Twitter users whose recent tweets contained "#mentalhealth", 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 Wednesday, 22 January 2020 at 22:43 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 17-minute period from Tuesday, 21 January 2020 at 15:07 UTC to Wednesday, 22 January 2020 at 21:25 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 : #mentalhealth
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:
[2872] mental,health [1475] positive,impact [1470] tackling,#mentalhealth [1457] #mentalhealth,re [1455] make,positive [1454] re,harnessing [1454] harnessing,#powerto [1453] #powerto,make [1453] impact,world [1447] world,thanks Top Word Pairs in Tweet in G1:
[331] mental,health [132] #mentalhealth,#mentalhealthawareness [44] #anxiety,#depression [42] #mentalhealthawareness,#mentalhealth [42] #mentalhealth,#wellbeing [40] #depression,#mentalhealth [38] #mentalhealth,#selfcare [37] #mentalhealth,#depression [36] #depression,#anxiety [31] #anxiety,#mentalhealth Top Word Pairs in Tweet in G2:
[1408] positive,impact [1394] tackling,#mentalhealth [1393] re,harnessing [1393] harnessing,#powerto [1393] make,positive [1393] impact,world [1393] thanks,bofa_news [1393] bofa_news,keeping [1392] #powerto,make [1392] world,thanks Top Word Pairs in Tweet in G3:
[564] mental,health [209] #mentalhealth,deepikapadukone [207] seek,help [207] health,without [207] without,mental [206] break,down [206] down,stigma [205] look,forward [204] discuss,#mentalhealth [204] health,#letstalk Top Word Pairs in Tweet in G4:
[123] mental,health [74] poor,#mentalhealth [61] before,christmas [61] christmas,met [61] met,amber [61] amber,working [61] working,successful [61] successful,tech [61] tech,start [61] start,completely Top Word Pairs in Tweet in G5:
[437] #mentalhealth,#mindfulness [418] #goldenhearts,#iam [404] #mindfulness,#goldenhearts [327] #tuesdaythoughts,#tuesdaymotivation [292] #joytrain,#joy [235] #tuesdaymorning,#tuesdaythoughts [234] #joy,#love [181] #mentalhealth,#mentalhealthawareness [163] #iam,#familytrain [132] #love,#kindness Top Word Pairs in Tweet in G6:
[109] mental,health [102] yourself,together [91] things,someone [91] someone,depression [91] depression,anxiety [91] anxiety,pull [91] pull,yourself [91] together,broken [91] broken,leg [91] leg,making Top Word Pairs in Tweet in G7:
[97] mental,health [52] #autism,#asd [50] #garyveechallenge,#happiness [50] #happiness,#mentalhealth [50] #mentalhealth,#workinghard [50] #kindnessday,#kindness [50] #kindness,#dontforgettosmile [48] #dementia,#mentalhealth [48] #workinghard,#grind [48] #grind,#kindnessday Top Word Pairs in Tweet in G8:
[68] mental,health [35] #mentalhealth,#mentalhealthawareness [22] #mentalhealth,#wellbeing [20] #mhsm,#mhchat [19] #depression,#anxiety [13] #wednesdaywisdom,#mentalhealth [12] read,more [12] improve,#mentalhealth [12] hope,see [11] #mapleridge,#pittmeadows Top Word Pairs in Tweet in G9:
[142] mental,health [33] #mentalhealth,support [22] examines,students [22] students,perceptions [22] perceptions,mental [22] health,services [18] recommendations,improvement [17] #mentalhealth,#mentalhealthawareness [17] today,school [17] school,based Top Word Pairs in Tweet in G10:
[145] mental,health [56] #prepareactsurvive,#mentalhealth [51] flooding,lasting [51] lasting,impact [51] impact,mental [51] health,knowing [51] knowing,one [51] one,action [51] action,take [51] take,during Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: