The graph represents a network of 989 Twitter users whose tweets in the requested range contained "#PublicInterestTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 March 2019 at 00:54 UTC.
The requested start date was Wednesday, 13 March 2019 at 00:54 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 70-day, 6-hour, 40-minute period from Tuesday, 01 January 2019 at 14:51 UTC to Tuesday, 12 March 2019 at 21:31 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 : 989
Unique Edges : 2025
Edges With Duplicates : 957
Total Edges : 2982
Self-Loops : 130
Reciprocated Vertex Pair Ratio : 0.0639097744360902
Reciprocated Edge Ratio : 0.120141342756184
Connected Components : 29
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 897
Maximum Edges in a Connected Component : 2852
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.030808
Graph Density : 0.00231698480860314
Modularity : 0.498226
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[247] public,interest [159] university,network [146] interest,technology [85] technology,university [80] 2,year [78] new,tech [78] tech,fellows [78] year,term [78] term,gender [78] gender,racial Top Word Pairs in Tweet in G1:
[60] need,more [56] access,cheap [55] 2,year [55] ensure,access [55] cheap,ubiquitous [55] ubiquitous,fast [55] fast,internet [55] internet,need [55] more,people [54] new,tech Top Word Pairs in Tweet in G2:
[94] public,interest [89] university,network [81] interest,technology [63] u,s [59] india,u [53] s,fellows [47] 2019,india [45] technology,university [38] newamerica,2019 [36] fordfoundation,hewlett_found Top Word Pairs in Tweet in G3:
[60] public,interest [24] mitchellbaker,mozilla [23] rsac,publicinteresttech [22] mozilla,shannonvallor [21] shannonvallor,google [21] eff,mitchellbaker [18] interest,tech [17] rsac,2019 [17] track,rsac [17] cybersecurity,expert Top Word Pairs in Tweet in G4:
[31] bruce,schneier [31] schneier,s [31] s,time [31] time,technologists [31] technologists,become [31] become,lawmakers [31] lawmakers,law [31] law,forever [31] forever,trying [31] trying,catch Top Word Pairs in Tweet in G5:
[23] next,generation [19] ucberkeley,committed [19] committed,educating [19] educating,next [19] generation,students [19] students,more [19] more,effectively [19] effectively,design [19] design,build [19] build,influence Top Word Pairs in Tweet in G6:
[13] university,network [8] fiu,proud [8] proud,inaugural [8] inaugural,member [8] member,public [8] public,interest [8] interest,technology [8] technology,university [8] network,21 [8] 21,universities Top Word Pairs in Tweet in G7:
[17] fordfoundation,mit_ipri [17] mit_ipri,director [17] director,djweitzner [14] djweitzner,redefine [14] redefine,technologists [14] technologists,s [14] s,groundbreaking [14] groundbreaking,class [14] class,privacy [3] djweitzner,heads Top Word Pairs in Tweet in G8:
[9] big,ideas [7] return,social [7] social,impact [6] public,interest [6] child,abuse [6] salazarluisj,big [6] publicinteresttech,givingtechlabs [5] ideas,focus [5] focus,return [5] impact,much Top Word Pairs in Tweet in G9:
[12] publicinteresttech,morethancode [10] morethancode,civictech [7] fordfoundation,want [7] want,build [7] build,tech [7] tech,good [7] good,need [7] need,begin [7] begin,working [7] working,communities Top Word Pairs in Tweet in G10:
[11] report,hard [11] hard,read [11] read,everyone [11] everyone,fields [11] fields,opengov [11] opengov,civictech [11] civictech,philanthropy [11] philanthropy,publicinteresttech [10] sarahschacht,report [2] hope,fordfoundation 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 G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: