The graph represents a network of 14,740 Twitter users whose recent tweets were included in a list (Aphasia Tweets) of 20274 tweet IDs, or who were replied to or mentioned in those tweets. 20268 out of 20274 tweets were collected. The network was obtained from Twitter on Friday, 21 January 2022 at 06:10 UTC.
The tweets in the network were tweeted over the 122-day, 9-hour, 11-minute period from Saturday, 18 September 2021 at 14:30 UTC to Tuesday, 18 January 2022 at 23:41 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 : 15005
Unique Edges : 25188
Edges With Duplicates : 106460
Total Edges : 131648
Number of Edge Types : 5
Replies to : 8344
Mentions : 93185
Tweet : 9949
Retweet : 11410
MentionsInRetweet : 8760
Self-Loops : 10030
Reciprocated Vertex Pair Ratio : 0.130918552500942
Reciprocated Edge Ratio : 0.231526049707868
Connected Components : 2675
Single-Vertex Connected Components : 1329
Maximum Vertices in a Connected Component : 6317
Maximum Edges in a Connected Component : 81982
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.631868
Graph Density : 0.000146725285120014
Modularity : 0.221396
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 14,740 Twitter users whose recent tweets were included in a list (Aphasia Tweets) of 20274 tweet IDs, or who were replied to or mentioned in those tweets. 20268 out of 20274 tweets were collected. The network was obtained from Twitter on Friday, 21 January 2022 at 06:10 UTC.
The tweets in the network were tweeted over the 122-day, 9-hour, 11-minute period from Saturday, 18 September 2021 at 14:30 UTC to Tuesday, 18 January 2022 at 23:41 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 : TwitterIDList
Graph Term : Aphasia Tweets
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1271] ดไม,ได [1270] ว,นน [1270] จร,งๆ [1268] ครอบคร,วจ [1268] วจ,นซ [1268] นซ,ยากจน [1268] ยากจน,เค [1268] เค,ากล [1268] ากล,วการท [1268] วการท,จะต Top Word Pairs in Tweet in G1:
[704] people,aphasia [524] people,#aphasia [224] living,aphasia [205] speech,language [188] aphasia,friendly [164] #aphasia,#stroke [162] post,stroke [158] stroke,survivors [153] stroke,aphasia [146] primary,progressive Top Word Pairs in Tweet in G2:
[67] language,test [67] test,aphasia [65] standard,language [64] 標準失語症検査,standard [64] aphasia,slta [64] slta,日本における代表的な失語症の検査 [64] 日本における代表的な失語症の検査,26の下位項目からなり [64] 26の下位項目からなり,聴く [64] 聴く,話す [64] 話す,読む Top Word Pairs in Tweet in G3:
[1264] ครอบคร,วจ [1264] วจ,นซ [1264] นซ,ยากจน [1264] ยากจน,เค [1264] เค,ากล [1264] ากล,วการท [1264] วการท,จะต [1264] จะต,องแยกจากพ [1264] องแยกจากพ,อแม [1264] อแม,มากๆ Top Word Pairs in Tweet in G4:
[952] #covidvaccine,astrazeneca [750] ischemic,stroke [747] 51,woman [747] fatigue,chills [747] chills,acute [747] acute,onset [747] onset,global [747] global,aphasia [747] aphasia,right [747] right,sided Top Word Pairs in Tweet in G5:
[284] snark,sounds [284] sounds,terrible [284] terrible,moments [284] moments,confusion [284] confusion,times [284] times,disconnected [284] disconnected,crowd [284] crowd,times [284] times,overly [284] overly,agitated Top Word Pairs in Tweet in G6:
[223] aphasia,includes [223] includes,trouble [223] trouble,putting [223] putting,words [223] words,meaningful [223] meaningful,sentences [223] sentences,trouble [223] trouble,reading [223] reading,difficulty [223] difficulty,understanding Top Word Pairs in Tweet in G7:
[140] brain,damage [130] massive,stroke [130] damage,clots [130] clots,main [130] main,arteries [130] arteries,body [130] body,aphasia [119] blind,eye [118] telegraph,cover [118] cover,john Top Word Pairs in Tweet in G8:
[153] role,part [148] part,43 [145] causative,factor [140] confirmed,recognized [134] alzheimer's,aphasia [134] aphasia,optic [131] dementia,alzheimer's [118] sci,confirmed [106] multiple,sclerosis [97] treatable,congenital Top Word Pairs in Tweet in G9:
[247] الحبسة,الكلامية [244] عن,الحبسة [244] مدى,انتشارها [244] الشخص,المصاب [243] عمرك,سمعت [243] سمعت,بشخص [243] بشخص,جته [243] جته,جلطة [243] جلطة,و [243] و,ماعاد Top Word Pairs in Tweet in G10:
[223] adverse,events [223] special,interest [222] 13,appendix [222] appendix,list [222] list,adverse [222] events,special [222] interest,1p36 [222] 1p36,deletion [222] deletion,syndrome [222] syndrome,hydroxyglutaric Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
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: