The graph represents a network of 16,151 Twitter users whose recent tweets contained "Instagram toxic", 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 Friday, 17 September 2021 at 02:36 UTC.
The tweets in the network were tweeted over the 2-day, 12-hour, 43-minute period from Tuesday, 14 September 2021 at 12:39 UTC to Friday, 17 September 2021 at 01:23 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 : 16151
Unique Edges : 23836
Edges With Duplicates : 1806
Total Edges : 25642
Number of Edge Types : 5
Retweet : 14295
Mentions : 1246
MentionsInRetweet : 7007
Tweet : 2838
Replies to : 256
Self-Loops : 2866
Reciprocated Vertex Pair Ratio : 0.00242696217602345
Reciprocated Edge Ratio : 0.00484217258233977
Connected Components : 2462
Single-Vertex Connected Components : 1962
Maximum Vertices in a Connected Component : 12090
Maximum Edges in a Connected Component : 21263
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.291201
Graph Density : 8.39254458647137E-05
Modularity : 0.737997
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 16,151 Twitter users whose recent tweets contained "Instagram toxic", 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 Friday, 17 September 2021 at 02:36 UTC.
The tweets in the network were tweeted over the 2-day, 12-hour, 43-minute period from Tuesday, 14 September 2021 at 12:39 UTC to Friday, 17 September 2021 at 01:23 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 : Instagram toxic
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:
[6670] teen,girls [3287] knows,instagram [3077] facebook,knows [3031] documents,show [2816] instagram,toxic [2760] young,users [2603] teenage,girls [2222] body,image [1984] toxic,teen [1899] image,issues Top Word Pairs in Tweet in G1:
[1814] young,users [1410] teenage,girls [1355] internal,documents [1250] documents,show [1129] photo,sharing [1129] sharing,app [1107] researchers,inside [1107] inside,instagram [1106] instagram,began [1106] began,studying Top Word Pairs in Tweet in G2:
[841] teen,girls [692] instagram,toxic [612] toxic,teen [584] documents,show [557] facebook,knows [549] knows,instagram [437] company,documents [426] girls,company [204] wall,street [204] street,journal Top Word Pairs in Tweet in G3:
[1219] sudden,rise [1219] rise,depression [1219] depression,anxiety [1219] anxiety,gen [1219] gen,girls [1219] girls,began [1219] began,around [1219] around,2012 [1218] coddling,glukianoff [1218] glukianoff,pointed Top Word Pairs in Tweet in G4:
[390] teen,girls [383] teenage,girls [308] met,gala [307] fully,aware [281] wsj,published [279] story,showing [279] aware,causing [279] causing,harm [279] harm,teenage [278] last,night Top Word Pairs in Tweet in G5:
[1768] teen,girls [980] jeffhorwitz,dseetharaman [838] body,image [820] image,issues [820] issues,worse [819] make,body [774] worse,teen [767] summarizing,research [767] research,teen [767] girls,experience Top Word Pairs in Tweet in G6:
[519] インスタグラムが特に10代の少女らの精神衛生に深刻な悪影響を与えていることを親会社のフェイスブックは内部調査で知りながら,その結果の公表を拒んでいたとのwsjの調査報道 [519] その結果の公表を拒んでいたとのwsjの調査報道,これを受けて早速米上院議員らがfb社に対して調査を行うと発表しています [7] 社会的比較はインスタグラムで,より悪い結果となった [7] より悪い結果となった,tiktokはパフォーマンスに特化 [7] tiktokはパフォーマンスに特化,スナップチャットは [7] スナップチャットは,ジョークで使うフィルターで隠されているため [7] ジョークで使うフィルターで隠されているため,顔に注目がいく [7] 顔に注目がいく,対照的に [7] 対照的に,インスタグラムは身体イメージとライフスタイルを重視している [3] インスタグラムは10代少女に有害,内部資料 Top Word Pairs in Tweet in G7:
[288] shut,facebook [288] facebook,down [288] down,tonight [119] teen,girls [90] body,image [89] make,body [89] image,issues [89] issues,worse [88] worse,one [88] one,three Top Word Pairs in Tweet in G8:
[189] teen,girls [185] knows,instagram [184] facebook,knows [184] documents,show [182] instagram,toxic [181] toxic,teen [181] girls,company [181] company,documents [82] public,facebook [82] facebook,consistently Top Word Pairs in Tweet in G9:
[245] teenage,girls [244] photo,sharing [244] sharing,app [244] young,users [242] past,three [242] three,years [242] years,fb [242] fb,conducting [242] conducting,studies [242] studies,photo Top Word Pairs in Tweet in G10:
[232] teen,girls [150] young,users [149] instagram,harmful [148] photo,sharing [148] sharing,app [147] facebook,conducting [147] conducting,studies [147] studies,photo [147] app,affects [147] affects,millions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: