65 research outputs found
Leveraging Citation Networks to Visualize Scholarly Influence Over Time
Assessing the influence of a scholar's work is an important task for funding
organizations, academic departments, and researchers. Common methods, such as
measures of citation counts, can ignore much of the nuance and
multidimensionality of scholarly influence. We present an approach for
generating dynamic visualizations of scholars' careers. This approach uses an
animated node-link diagram showing the citation network accumulated around the
researcher over the course of the career in concert with key indicators,
highlighting influence both within and across fields. We developed our design
in collaboration with one funding organization---the Pew Biomedical Scholars
program---but the methods are generalizable to visualizations of scholarly
influence. We applied the design method to the Microsoft Academic Graph, which
includes more than 120 million publications. We validate our abstractions
throughout the process through collaboration with the Pew Biomedical Scholars
program officers and summative evaluations with their scholars
All Patents Great and Small: A Big Data Network Approach to Valuation
Measuring patent value is an important goal of scholars in both patent law and patent economics. However, doing so objectively, accurately, and consistently has proved exceedingly difficult. At least part of the reason for this difficulty is that patents themselves are complex documents that are difficult even for patent experts to interpret. In addition, issued patents are the result of an often long and complicated negotiation between applicant and patent office (in the United States, the United States Patent & Trademark Office (USPTO)), resulting in an opaque "prosecution history" upon which the scope of claimed patent rights depends. In this Article, we approach the concept of patent value by using the relative positions of issued United States (U.S.) patents embedded within a comprehensive patent citation network to measure the importance of those patents within the network. Thus, we tend to refer to the "importance" of patents instead of "value," but there is good reason to believe that these two concepts share a very similar meaning
EtniÄka zastupljenost ženskih autorica u Äasopisima za filozofiju prema regionalnoj pripadnosti i specijalizaciji
Using bibliographic metadata from 177 Philosophy Journals between 1950 and 2020, this article presents new data on the under- representation of women authors in philosophy journals across decades and across four different compounding factors. First, we examine how philosophy fits in comparison to other academic disciplines. Second, we consider how the regional academic context in which Philosophy Journals operate impacts on author gender proportions. Third, we consider how the regional specialization of a journal impacts on author gender proportions. Fourth, and perhaps most interestingly, we consider the impact of author ethnicity on gender representation, and we examine the breakdown of author ethnicity across Philosophy Journals between 1950 and 2020. To our knowledge, this is the first work to offer an estimate for author ethnicity and gender in philosophy publications using a large- scale data set. We find that women authors are underrepresented in Philosophy Journals across time, across disciplines, across the globe, and regardless of ethnicity.KoristeÄi bibliografske metapodatke iz 177 Äasopisa za filozofiju izmeÄu 1950. i 2020. godine, ovaj Älanak predstavlja nove podatke o podzastupljenosti žena kao autorica u filozofskim Äasopisima tijekom desetljeÄa i Äetiri razliÄita Äimbenika. Prvo, istražujemo kako filozofija stoji u usporedbi s drugim akademskim disciplinama. Drugo, razmatramo kako regionalni akademski kontekst u kojem djeluju Äasopisi za filozofiju utjeÄe na omjere rodova autora. TreÄe, razmatramo kako regionalna specijalizacija Äasopisa utjeÄe na omjere rodova autora. Äetvrto, i možda najzanimljivije, razmatramo utjecaj etniÄke pripadnosti autora na zastupljenost rodova, te prouÄavamo raspodjelu etniÄke pripadnosti autora u Äasopisima za filozofiju izmeÄu 1950. i 2020. godine. Koliko nam je poznato, ovo je prvo istraživanje koje nudi procjenu etniÄke pripadnosti i roda autora u filozofskim publikacijama koristeÄi veliki skup podataka. Podaci pokazuju da su žene kao autorice podzastupljene u Äasopisima za filozofiju tijekom vremena, disciplina, Å”irom svijeta i bez obzira na etniÄku pripadnost
Measuring scientific buzz
Keywords are important for information retrieval. They are used to classify and sort papers. However, these terms can also be used to study trends within and across fields. In this poster, we describe preliminary analysis where we measure the burstiness of keywords within the field of AI. We examine 150k keywords in approximately 100k journal and conference papers. We find that nearly 80% of the keywords die off before year one for both journals and conferences but that terms last longer in journals versus conferences. We also find time periods of burstiness in AI - one where the terms are more neuroscience inspired and one more oriented to computational optimization. Our goal is to extend this analysis to other fields in order to better understand the dynamics of buzz within science
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