Browsing Scopus İndeksli Yayınlar Koleksiyonu by Author "Eroğlu, Deniz"
Now showing items 1-5 of 5
-
Holocene climate forcings and lacustrine regime shifts in the Indian summer monsoon realm
Prasad, Sushma; Marwan, Norbert; Eroğlu, Deniz; Goswami, Bedartha; Mishra, Praveen Kuma; Gaye, Birgit; Anoop, Akhil; Stebich, Martina; Jehangir, Arshid; Basavaiah, Nathani (Wıley, 2020)Extreme climate events have been identified both in meteorological and long-term proxy records from the Indian summer monsoon (ISM) realm. However, the potential of palaeoclimate data for understanding mechanisms triggering ... -
Multifaceted Dynamics of Janus Oscillator Networks
Nicolaou, Zachary G.; Eroğlu, Deniz; Motter, Adilson E. (Amer Physical Soc., 2019)Recent research has led to the discovery of fundamental new phenomena in network synchronization including chimera states explosive synchronization and asymmetry-induced synchronization. Each of these phenomena has thus ... -
Network dynamics reconstruction from data
Eroğlu, Deniz (Scıentıfıc Technıcal Research Councıl Turkey-Tubıtak, 2020)We consider the problem of recovering the model of a complex network of interacting dynamical units from time series of observations. We focus on typical networks which exhibit heterogeneous degrees, i.e. where the number ... -
Recurrence analysis of extreme event-like data
Banerjee, Abhirup; Goswami, Bedartha; Hirata, Yoshito; Eroğlu, Deniz; Merz, Bruno; Kurths, Juergen; Marwan, Norbert (COPERNICUS GESELLSCHAFT MBH, 2021)The identification of recurrences at various time-scales in extreme event-like time series is challenging because of the rare occurrence of events which are separated by large temporal gaps. Most of the existing time series ... -
Revealing Dynamics, Communities, and Criticality from Data
Eroğlu, Deniz; Tanzi, Matteo; van Strien, Sebastian; Pereira, Tiago (Amer Physical Soc, 2020)Complex systems such as ecological communities and neuron networks are essential parts of our everyday lives. These systems are composed of units which interact through intricate networks. The ability to predict sudden ...