Tandy Warnow
Dados Biográficos
| ID | 831989 |
|---|---|
| NOME | Tandy Warnow |
| PRENOMES | Tandy |
| SOBRENOME | Warnow |
| ASSINATURA | WARNOW T |
| AFILIAÇÕES | University of Illinois Urbana-Champaign |
| ORCID | 0000-0001-7717-3514 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 21 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2002 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 2 |
Addressing Polymorphism in Linguistic Phylogenetics
Understanding how languages change is important not only for the reconstruction of protolanguages and for estimating diversification dates (i.e. the dates when languages split), but also for the inference of evolutionary trees (or phylogenetic networks) of language families. We propose a parametric model of language change that addresses lexical polymorphism (two or more words for a given basic meaning) based on what is known about how languages …
Aoc
Through discovery of mesoscale structures, community detection methods contribute to the understanding of complex networks. Many community finding methods, however, rely on disjoint clustering techniques, in which node membership is restricted to one community or cluster. This strict requirement limits the ability to inclusively describe communities because some nodes may reasonably be assigned to multiple communities. We have previously reported…
Center–periphery structure in research communities
Clustering and community detection in networks are of broad interest and have been the subject of extensive research that spans several fields. We are interested in the relatively narrow question of detecting communities of scientific publications that are linked by citations. These publication communities can be used to identify scientists with shared interests who form communities of researchers. Building on the well-known k-core algorithm, we …
Finding scientific communities in citation graphs
Understanding the nature and organization of scientific communities is of broad interest. The “Invisible College” is a historical metaphor for one such type of community that refers to a small group of scientists working on a problem of common interest. The scientific and social behavior of such colleges has been the subject of case studies that have examined limited samples of the scientific enterprise. We introduce a metamethod for large-scale …
Viewing computer science through citation analysis
Frequently cocited publications
Cocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features associated with the strength of cocitation can be identified. We use the proximal citation network for a given pair of articles ( x, y) to compute θ, an a priori estimate of…
Co-citations in context
Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citation, the frequency with which pairs of publications are cited, provides insight into how documents relate to each other and across fields. Co-citation analysis has been used to characterize combinations of prior work as conventional or innovative and to derive features o…
An experimental study comparing linguistic phylogenetic reconstruction methods
This paper reports a simulation study comparing and evaluating the performance of different linguistic phylogeny reconstruction methods on model datasets for which the true trees are known. UPGMA performed least well, then (in ascending order) neighbor joining, the method of Gray & Atkinson and finally maximum parsimony. Weighting characters greatly improves the accuracy of maximum parsimony and maximum compatibility if the characters with high w…
Tutorial on Computational Linguistic Phylogeny
Over the last 10 or more years, there has been a tremendous increase in the use of computational techniques (many of which come directly from biology) for estimating evolutionary histories (i.e., phylogenies) of languages. This tutorial surveys the different methods and different types of linguistic data that have been used to estimate phylogenies, explains the scientific and mathematical foundations of phylogenetic estimation, and presents metho…
Perfect Phylogenetic Networks
In this article we extend the model of language evolution exemplified in Ringe et al. 2002, which recovers phylogenetic trees optimized according to a criterion of weighted maximum compatibility, to include cases in which languages remain in contact and trade linguistic material as they evolve. We describe our analysis of an Indo-European (IE) dataset (originally assembled by Ringe and Taylor) based on this new model. Our study shows that this ne…
Indo‐European and Computational Cladistics
This paper reports the results of an attempt to recover the first‐order subgrouping of the Indo‐European family using a new computational method devised by the authors and based on a ‘perfect phylogeny’ algorithm. The methodology is also briefly described, and points of theory and methodology are addressed in connection with the experiment whose results are here reported.
Perfect Phylogenetic Networks
In this article we extend the model of language evolution exemplified in Ringe et al. 2002, which recovers phylogenetic trees optimized according to a criterion of weighted maximum compatibility, to include cases in which languages remain in contact and trade linguistic material as they evolve. We describe our analysis of an Indo-European (IE) dataset (originally assembled by Ringe and Taylor) based on this new model. Our study shows that this ne…
Tutorial on Computational Linguistic Phylogeny
Over the last 10 or more years, there has been a tremendous increase in the use of computational techniques (many of which come directly from biology) for estimating evolutionary histories (i.e., phylogenies) of languages. This tutorial surveys the different methods and different types of linguistic data that have been used to estimate phylogenies, explains the scientific and mathematical foundations of phylogenetic estimation, and presents metho…
Indo‐European and Computational Cladistics
This paper reports the results of an attempt to recover the first‐order subgrouping of the Indo‐European family using a new computational method devised by the authors and based on a ‘perfect phylogeny’ algorithm. The methodology is also briefly described, and points of theory and methodology are addressed in connection with the experiment whose results are here reported.
Perfect Phylogenetic Networks
In this article we extend the model of language evolution exemplified in Ringe et al. 2002, which recovers phylogenetic trees optimized according to a criterion of weighted maximum compatibility, to include cases in which languages remain in contact and trade linguistic material as they evolve. We describe our analysis of an Indo-European (IE) dataset (originally assembled by Ringe and Taylor) based on this new model. Our study shows that this ne…
Tutorial on Computational Linguistic Phylogeny
Over the last 10 or more years, there has been a tremendous increase in the use of computational techniques (many of which come directly from biology) for estimating evolutionary histories (i.e., phylogenies) of languages. This tutorial surveys the different methods and different types of linguistic data that have been used to estimate phylogenies, explains the scientific and mathematical foundations of phylogenetic estimation, and presents metho…
An experimental study comparing linguistic phylogenetic reconstruction methods
This paper reports a simulation study comparing and evaluating the performance of different linguistic phylogeny reconstruction methods on model datasets for which the true trees are known. UPGMA performed least well, then (in ascending order) neighbor joining, the method of Gray & Atkinson and finally maximum parsimony. Weighting characters greatly improves the accuracy of maximum parsimony and maximum compatibility if the characters with high w…
Viewing computer science through citation analysis
Frequently cocited publications
Cocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features associated with the strength of cocitation can be identified. We use the proximal citation network for a given pair of articles ( x, y) to compute θ, an a priori estimate of…
Co-citations in context
Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citation, the frequency with which pairs of publications are cited, provides insight into how documents relate to each other and across fields. Co-citation analysis has been used to characterize combinations of prior work as conventional or innovative and to derive features o…
Finding scientific communities in citation graphs
Understanding the nature and organization of scientific communities is of broad interest. The “Invisible College” is a historical metaphor for one such type of community that refers to a small group of scientists working on a problem of common interest. The scientific and social behavior of such colleges has been the subject of case studies that have examined limited samples of the scientific enterprise. We introduce a metamethod for large-scale …
Aoc
Through discovery of mesoscale structures, community detection methods contribute to the understanding of complex networks. Many community finding methods, however, rely on disjoint clustering techniques, in which node membership is restricted to one community or cluster. This strict requirement limits the ability to inclusively describe communities because some nodes may reasonably be assigned to multiple communities. We have previously reported…
Center–periphery structure in research communities
Clustering and community detection in networks are of broad interest and have been the subject of extensive research that spans several fields. We are interested in the relatively narrow question of detecting communities of scientific publications that are linked by citations. These publication communities can be used to identify scientists with shared interests who form communities of researchers. Building on the well-known k-core algorithm, we …
Addressing Polymorphism in Linguistic Phylogenetics
Understanding how languages change is important not only for the reconstruction of protolanguages and for estimating diversification dates (i.e. the dates when languages split), but also for the inference of evolutionary trees (or phylogenetic networks) of language families. We propose a parametric model of language change that addresses lexical polymorphism (two or more words for a given basic meaning) based on what is known about how languages …
Computer Science (8 obras) · Biology (7 obras) · Artificial Intelligence (5 obras) · Complex Network Analysis Techniques (5 obras) · Citation (4 obras) · Mathematics (4 obras) · Phylogenetic tree (4 obras) · scientometrics and bibliometrics research (4 obras) · Genomics and Phylogenetic Studies (3 obras) · Language and cultural evolution (3 obras)