The graph represents a network of 1,336 Twitter users whose recent tweets contained "#APHA2020", 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 Sunday, 25 October 2020 at 18:42 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 31-minute period from Saturday, 17 October 2020 at 14:02 UTC to Sunday, 25 October 2020 at 18:33 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 : 1336
Unique Edges : 3360
Edges With Duplicates : 3062
Total Edges : 6422
Number of Edge Types : 5
MentionsInRetweet : 2317
Mentions : 1630
Retweet : 1796
Tweet : 544
Replies to : 135
Self-Loops : 545
Reciprocated Vertex Pair Ratio : 0.0708853883758827
Reciprocated Edge Ratio : 0.132386507735227
Connected Components : 73
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 1202
Maximum Edges in a Connected Component : 6261
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.154676
Graph Density : 0.00221074704523537
Modularity : 0.361768
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,336 Twitter users whose recent tweets contained "#APHA2020", 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 Sunday, 25 October 2020 at 18:42 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 31-minute period from Saturday, 17 October 2020 at 14:02 UTC to Sunday, 25 October 2020 at 18:33 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 : #APHA2020
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:
[810] public,health [205] annual,meeting [138] learn,more [113] aphaannualmtg,#apha2020 [102] #apha2020,aphaannualmtg [100] looking,forward [89] governing,council [84] attending,#apha2020 [84] publichealth,aphaannualmtg [76] virtual,conference Top Word Pairs in Tweet in G1:
[233] public,health [52] annual,meeting [49] #apha2020,#nsm2020 [46] governing,council [44] aphaannualmtg,#apha2020 [39] #saattheam,#apha2020 [33] student,meeting [33] #apha2020,aphaannualmtg [32] national,student [32] #apha2020,#aphaplay Top Word Pairs in Tweet in G2:
[101] public,health [42] learn,more [36] social,media [24] annual,meeting [23] chai,chat [22] aphaannualmtg,#apha2020 [20] within,#southasian [20] #southasian,communities [19] media,lab [19] looking,forward Top Word Pairs in Tweet in G3:
[100] public,health [26] annual,meeting [21] publichealth,#apha2020 [21] stand,public [19] #apha2020,aphaannualmtg [19] show,support [17] looking,forward [17] social,media [16] heading,#apha2020 [16] #apha2020,invite Top Word Pairs in Tweet in G4:
[150] public,health [57] annual,meeting [44] maternal,health [42] 7pm,mst [41] publichealth,aphaannualmtg [40] health,#apha2020 [39] please,join [39] pre,session [38] join,aphaphn [38] aphaphn,aphasrh Top Word Pairs in Tweet in G5:
[24] public,health [11] #speakforhealth,#apha2020 [9] oct,24 [8] last,year [7] publichealth,#apha2020 [7] attending,following [7] following,#apha2020 [7] #apha2020,wanted [7] wanted,mention [7] mention,couple Top Word Pairs in Tweet in G6:
[24] public,health [20] registered,#apha2020 [20] tell,friend [20] #apha2020,session [17] sun,10 [17] 10,25 [17] students,free [15] policy,statement [15] #paulcornely,award [15] 25,8pmet Top Word Pairs in Tweet in G7:
[34] #apha2020,tweet [34] tweet,apha [34] apha,absolutely [34] absolutely,ashamed [34] ashamed,charging [34] charging,665 [34] 665,virtual [34] virtual,conference [34] conference,middle [34] middle,damn Top Word Pairs in Tweet in G8:
[13] public,health [7] attending,#apha2020 [5] #apha2020,#publichealth [4] social,media [4] #apha2020,join [4] join,largest [4] largest,annual [4] annual,gathering [4] gathering,public [4] health,professionals Top Word Pairs in Tweet in G9:
[14] public,health [11] medical,care [8] #publichealth,#publichealthtwitter [8] #medtwitter,#econtwitter [7] #epitwitter,#apha2020 [6] #publichealth,#apha2020 [6] publichealth,aphaannualmtg [5] #apha2020,#epitwitter [5] care,section [4] writing,grant Top Word Pairs in Tweet in G10:
[26] food,systems [16] more,sustainable [16] sustainable,healthier [16] san,francisco [16] francisco,bay [16] bay,area [13] #apha2020,food [13] systems,tour [13] tour,live [13] live,visit Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: