The graph represents a network of 3,206 Twitter users whose recent tweets contained "berkmancenter", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 06:51 UTC.
The tweets in the network were tweeted over the 4704-day, 13-hour, 7-minute period from Thursday, 29 October 2009 at 18:38 UTC to Friday, 16 September 2022 at 07:46 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3206
Unique Edges : 6467
Edges With Duplicates : 9453
Total Edges : 15920
Number of Edge Types : 9
Mentions : 2538
MentionsInRetweet : 7988
Retweet : 3339
MentionsInQuote : 247
Quote : 248
Replies to : 353
MentionsInReplyTo : 1014
Tweet : 176
MentionsInQuoteReply : 17
Self-Loops : 483
Reciprocated Vertex Pair Ratio : 0.0377063810798751
Reciprocated Edge Ratio : 0.0726725435390239
Connected Components : 34
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 3138
Maximum Edges in a Connected Component : 15812
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.518477
Graph Density : 0.000905283871991187
Modularity : 0.296373
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,206 Twitter users whose recent tweets contained "berkmancenter", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 06:51 UTC.
The tweets in the network were tweeted over the 4704-day, 13-hour, 7-minute period from Thursday, 29 October 2009 at 18:38 UTC to Friday, 16 September 2022 at 07:46 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : berkmancenter
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:
[104] data,directory [104] net,data [100] student,privacy [98] berkmancenter,report [83] berkmancenter,join [82] digital,literacy [79] berkmancenter,harvard [75] bruce,schneier [74] going,dark [74] transparency,reporting Top Word Pairs in Tweet in G1:
[37] berkmancenter,encryption [36] #encryption,debate [34] peer,production [33] open,source [33] bruce,schneier [32] security,bigger [32] threat,security [32] encryption,really [32] picture,#encryption [32] really,threat Top Word Pairs in Tweet in G2:
[63] oti,berkmancenter [56] transparency,reporting [45] reporting,toolkit [37] berkmancenter,transparency [34] net,data [34] data,directory [32] link,rot [31] companies,report [31] berkmancenter,announcing [30] report,oti Top Word Pairs in Tweet in G3:
[38] data,internet [28] due,12 [27] app,open [27] berkmancenter,2016 [27] 12,16 [27] calling,#innovators [27] open,due [27] #summer,#internship [27] #internship,app [27] #innovators,berkmancenter Top Word Pairs in Tweet in G4:
[43] data,protection [40] data,privacy [39] student,privacy [36] berkmancenter,citizenlab [33] citizenlab,eff [33] eff,liberationtech [32] liberationtech,apply [32] berkmancenter,medialab [31] eu_edps's,buttarelli_g [30] berkmancenter,mit_csail Top Word Pairs in Tweet in G5:
[48] digital,literacy [42] berkmancenter,harvard [39] student,privacy [37] privacy,equity [37] equity,digital [33] youthandmedia,team [31] berkmancenter,join [29] ugasser,youthandmedia [27] 2016,thanks [27] colleagues,berkmancenter Top Word Pairs in Tweet in G6:
[30] civicmit,berkmancenter [22] surveillance,copyright [15] harassment,online [14] berkmancenter,globalvoices [14] discrimination,harassment [13] track,media [13] newsframes,collaboration [13] helps,track [13] medialab,newsframes [13] globalvoices,helps Top Word Pairs in Tweet in G7:
[22] #openaccess,oscharvard [22] petersuber,wnyc [22] berkmancenter,research [22] free,listen [22] research,papers [22] wnyc,#openaccess [22] listen,petersuber [22] papers,free [9] weinberger,joi [9] joi,ito Top Word Pairs in Tweet in G8:
[13] income,families [12] future,future [12] addressing,problems [12] vulnerabilities,addressing [12] future,starts [12] technologies,mean [12] problems,future [12] mean,vulnerabilities [11] dfrlab,technologies [9] net,daily Top Word Pairs in Tweet in G9:
[18] berkmancenter,hackylawyer [18] hackylawyer,dsearls [10] nzn,berkmancenter [7] nzn,scottldavid [7] scottldavid,berkmancenter [4] ask,permission [4] human,right [4] hrw,opinyuyi [4] amnestywaro,advocaid [4] advocaid,hrw Top Word Pairs in Tweet in G10:
[11] ódio,racial [10] discurso,ódio [8] racist,speech [8] latin,america [8] digital,racist [8] speech,latin [6] racial,internet [6] america,narratives [6] counter,narratives [6] 28,29 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: