Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 5 of 5

Full-Text Articles in Social and Behavioral Sciences

Data For "Are Formal Explanations Mere Placeholders Or Pointers?", Sandeep Prasada, Shamauri Rivera, Sam Prasad Jan 2022

Data For "Are Formal Explanations Mere Placeholders Or Pointers?", Sandeep Prasada, Shamauri Rivera, Sam Prasad

Publications and Research

Raw de-identified data for experiments in "Are formal explanations mere placeholders or pointers?"


Measuring Influence On Twitter, Daniela B. Martinez Dec 2020

Measuring Influence On Twitter, Daniela B. Martinez

Publications and Research

A survey took in MAT 1372 about students' opinions on Twitter showed that most of them assumed that if a Twitter account has more followers, it will receive more likes or replies. However, accounts can buy followers, and followers do not necessarily mean engagement. In this paper, we used Twitter because it is a significant player in social media, but we can measure influence without using Twitter's follower count. We took a reference from Meeyoung Cha's article "The Million Follower Fallacy," which has demonstrated that the Twitter follower count is a meaningless metric in determining influence. To measure influence, a …


Seeing Library Data: A Prototype Data Visualization Application For Librarians, Mark E. Eaton Jan 2017

Seeing Library Data: A Prototype Data Visualization Application For Librarians, Mark E. Eaton

Publications and Research

Visualizations can add value to raw library data. Tools that programmatically make such visualizations interactive can further increase the value of this data, by giving librarians visual tools to analyze their data sets. To demonstrate these benefits, Kingsborough Community College Library built SeeCollections (http://b7jl.org/seecollections), a web application that visualizes our libraries’ collections of books and ebooks.

This article discusses the how SeeCollections gathers data from Kingsborough’s discovery layer API (Application Programming Interface), and transforms this data to create visualizations for the web. SeeCollections is a lightweight, proof-of-concept data application based on a vendor API. API data is often accessible in …


Early Warning/Intervention Systems (Presentation Slides From Nacole Symposium 2016 Held At John Jay College), Jennifer Helsby, Samuel Carton, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Lauren Haynes Apr 2016

Early Warning/Intervention Systems (Presentation Slides From Nacole Symposium 2016 Held At John Jay College), Jennifer Helsby, Samuel Carton, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Lauren Haynes

Publications and Research

Adverse interactions between police and the public harm police legitimacy and produce high costs due to harms to both officers and the public as well as litigation. Early intervention systems (EIS) that flag officers considered most likely to be involved in one of these adverse situations are an important tool for police supervision and for targeting of interventions such as counseling or training. However, the EIS that exist are often not data-driven and are based on supervior intuition. We have developed a prototype data-driven EIS that uses a diverse set of data sources from the Charlotte-Mecklenburg Police Department and machine …


An Integrated Information Capability For Policy Analysis, William (Bill) H. Williams Dec 1981

An Integrated Information Capability For Policy Analysis, William (Bill) H. Williams

Publications and Research

AN INTEGRATED INFORMATION CAPABILITY FOR POLICY ANALYSIS INTRODUCTION AND SUMMARY 0 Consideration of optimum organizational structures for maximum effectiveness of quantitative information flows in support of policy decisions seems to be haphazard, nonexistent, or at best secondary to other organizational issues. As a result we undertook to examine data bases, data flows, and their related models and analyses, with a view to developing reconnnended organizational characteristics. "Study of information organizations and their supporting data and models reveals that common data bases, models and analysis all coincide with common uses. Further, common use equates to common levels of organizational (dis)aggregation. The …