Effects of Graph Type in the Comprehension of Cyclic Events

Alacam, Ozge
Hohenberger, Annette Edeltraud
Çağıltay, Kürşat
This study presents an analysis of the effect of different graph types on the comprehension of cyclic events. The results indicated that although round and linear graph designs are informationally equivalent, the round graphs are computationally better suited than linear graphs for the interpretation of cyclic concepts.


Learning Graph Signal Representations with Narrowband Spectral Kernels
Kar, Osman Furkan; Turhan, Gülce; Vural, Elif (2022-01-01)
In this work, we study the problem of learning graph dictionary models from partially observed graph signals. We represent graph signals in terms of atoms generated by narrowband graph kernels. We formulate an optimization problem where the kernel parameters are learnt jointly with the signal representations under a triple regularization scheme: While the first regularization term aims to control the spectrum of the narrowband kernels, the second term encourages the reconstructed graph signals to vary smoot...
Estimation of Time-Varying Graph Signals by Learning Graph Dictionaries Zamanda Deǧişen Graf Sinyallerinin Kestirimi için Graflarda Sözlük Öǧrenme
Acar, Abdullah Burak; Vural, Elif (2022-01-01)
We study the problem of estimating time-varying graph signals from missing observations. We propose a method based on learning graph dictionaries specified by a set of time-vertex kernels in the joint spectral domain. The parameters of the time-vertex kernels are optimized jointly with the sparse representation coefficients of the signals, so that the learnt representation fits well to the available observations of the time-vertex signals at hand. The missing observations of the signals are then estimated b...
Effect of Using Regression in Sentiment Analysis
Onal, Itir; Ertuğrul, Ali Mert (2014-04-25)
In this study, the effect of using regression on sentiment classification of Twitter data was analyzed. In other words, whether the strength of sentiment better discriminates the classes or not. Since our dataset includes class confidence scores rather than discrete class labels, regression analysis was employed on each class separately. Then, each tweet was assigned the class whose estimated confidence score is maximum among others after regression. The feature set used includes unigrams, POS tags, emotico...
Functions of autobiographical memory during mother-adolescent reminiscing and their relation to emotion regulation strategies
Elibol Pekaslan, Nur; Şahin Acar, Başak; Department of Psychology (2019)
The aim of the current study was to examine the functions of autobiographical memory (AM) during mother-adolescent reminiscing, and to investigate dyadic relationships between the functions and emotion regulation (ER) strategies with a mixed method. For the qualitative part, content analysis revealed that Self, Social, and Directive functions occurred as the main themes, and each function also included ER themes. For the quantitative part, the first aim was to examine the differences in the frequencies rega...
Eye tracking in multimodal comprehension of graphs
Acartürk, Cengiz (2012-07-31)
Eye tracking methodology has been a major empirical research approach for the study of online comprehension processes in reading and scene viewing. The use of eye tracking methodology for the study of diagrammatic representations, however, has been relatively limited so far. The investigation of specific types of diagrammatic representations, such as statistical graphs is even scarce. In this study, we propose eye tracking as an empirical research approach for a systematic analysis of multimodal comprehensi...
Citation Formats
O. Alacam, A. E. Hohenberger, and K. Çağıltay, “Effects of Graph Type in the Comprehension of Cyclic Events,” 2010, vol. 6170, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53255.