🔸 عناوین پیشنهادی برای پایان نامه دوره کارشناسی ارشد در زمینه سیستمهای پیچیده - دکتر سید محمدصادق موحد
http://facultymembers.sbu.ac.ir/movahed/attachments/movahed_master_proposal_97.pdf
http://facultymembers.sbu.ac.ir/movahed/attachments/movahed_master_proposal_97.pdf
🗒 Phase transitions and asymmetry between signal comprehension and production in biological communication
🖇 https://www.nature.com/articles/s41598-019-40141-4
📌Abstract
We introduce a model for collective information acquisition from the environment, in a biological population. In this model, individuals can make noisy observations of the environment, and communicate their observation by production and comprehension of signals. As the communication noise decreases, the model shows an order-disorder transition from a disordered phase in which no consensus about the environmental state exists to an ordered phase where the population forms a consensus about the environmental state. The ordered phase itself is composed of an informed consensus, in which the correct belief about the environment prevails, and an uninformed consensus phase, in which consensus on a random belief about the environmental state is formed. The probability of reaching informed consensus increases with increasing the observation probability. This phenomenology implies that a maximum noise level, and a minimum observation probability are necessary for informed consensus in a communicating population. Furthermore, we show that the fraction of observant individuals needed for the group to reach informed consensus decreases with increasing population size. This results from a shift in the uninformed-informed transition to smaller observation probabilities by increasing population size. Importantly, we also find that an amount of noise in signal production deteriorates the information flow and the inference capability, more than the same amount of noise in comprehension. This finding implies that there is higher selection pressure to reduce noise in production of signals compared to comprehension. Regarding this asymmetry, we propose an experimental design to separately measure comprehension and production noise in a given population and test the predicted asymmetry.
Mohammad Salahshour, Shahin Rouhani & Yasser Roudi
🖇 https://www.nature.com/articles/s41598-019-40141-4
📌Abstract
We introduce a model for collective information acquisition from the environment, in a biological population. In this model, individuals can make noisy observations of the environment, and communicate their observation by production and comprehension of signals. As the communication noise decreases, the model shows an order-disorder transition from a disordered phase in which no consensus about the environmental state exists to an ordered phase where the population forms a consensus about the environmental state. The ordered phase itself is composed of an informed consensus, in which the correct belief about the environment prevails, and an uninformed consensus phase, in which consensus on a random belief about the environmental state is formed. The probability of reaching informed consensus increases with increasing the observation probability. This phenomenology implies that a maximum noise level, and a minimum observation probability are necessary for informed consensus in a communicating population. Furthermore, we show that the fraction of observant individuals needed for the group to reach informed consensus decreases with increasing population size. This results from a shift in the uninformed-informed transition to smaller observation probabilities by increasing population size. Importantly, we also find that an amount of noise in signal production deteriorates the information flow and the inference capability, more than the same amount of noise in comprehension. This finding implies that there is higher selection pressure to reduce noise in production of signals compared to comprehension. Regarding this asymmetry, we propose an experimental design to separately measure comprehension and production noise in a given population and test the predicted asymmetry.
Nature
Phase transitions and asymmetry between signal comprehension and production in biological communication
Scientific Reports - Phase transitions and asymmetry between signal comprehension and production in biological communication
Complex Systems Studies
🔹 finally out: "Scale-free networks are rare" We thoroughly test the empirical ubiquity of 'scale-free networks' using a huge networks corpus, multiple evidence classes, and reliable stats tools real networks are far more structurally diverse than claims…
Nature
Rare and everywhere: Perspectives on scale-free networks
Nature Communications - Are scale-free networks rare or universal? Important or not? We present the recent research about degree distributions of networks. This is a controversial topic, but, we...
🧩 The politics of physicists social models
Jensen Pablo
https://arxiv.org/pdf/1903.00964.pdf
I give an overview of the topic of this special issue, the applications of (statistical) physics to social sciences at large. I discuss several examples of simple social models put forward by physicists and discuss their interest. I argue that while they may be conceptually useful to correct our intuitive models of social mechanisms, their relevance for real social systems is moot. What is more, since physicists have always needed to tame the world inside laboratories to make their models relevant, I suggest that social modeling might be linked to human taming, a smashing political project.
Jensen Pablo
https://arxiv.org/pdf/1903.00964.pdf
I give an overview of the topic of this special issue, the applications of (statistical) physics to social sciences at large. I discuss several examples of simple social models put forward by physicists and discuss their interest. I argue that while they may be conceptually useful to correct our intuitive models of social mechanisms, their relevance for real social systems is moot. What is more, since physicists have always needed to tame the world inside laboratories to make their models relevant, I suggest that social modeling might be linked to human taming, a smashing political project.
🎞 Michael Fisher's 4/25 Lee Lecture "Wilson’s Renormalization Group Theory:Ken Wilson as I Knew Him"
#HarvardPhysVideo
https://t.co/84470ALe4w
#HarvardPhysVideo
https://t.co/84470ALe4w
Forwarded from گفتگوهای سار
🔹سار زمستان 97
👤کوثر کریمی پور
❓موضوع سخنرانی: رابطهی دیدگاههای متفکران مطالعات خاورمیانه با اجتماعی که در آن پرورش یافتهاند
📅 جمعه 17 اسفند، از ساعت 14 تا 17
🚪خیابان سی تیر، موزه ملی ایران
✔️ لینک ثبت نام 👇
https://evnd.co/UApPm
@sarconf
👤کوثر کریمی پور
❓موضوع سخنرانی: رابطهی دیدگاههای متفکران مطالعات خاورمیانه با اجتماعی که در آن پرورش یافتهاند
📅 جمعه 17 اسفند، از ساعت 14 تا 17
🚪خیابان سی تیر، موزه ملی ایران
✔️ لینک ثبت نام 👇
https://evnd.co/UApPm
@sarconf
Forwarded from Complex Networks (SBU)
دانشگاه تحصیلات تکمیلی علوم پایه زنجان از سال ۱۳۹۷ شروع به پذیرش دانشجو در قالب دکتری مستقیم از کارشناسی در رشتههای فیزیک، شیمی و ریاضی کرده است. مهمترین ویژگی دوره، کاهش طول دورهی تحصیل کارشناسی به دکتری به ۵ سال است. علاوه بر آن امکانات آزمایشگاهی پیشرفته، امکانات رفاهی گسترده و فضای صمیمی و حرفهای دانشگاه امکان موفقیت دانشجویان تلاشگر را تضمین میکند. جزییات مربوط به نحوه ی پذیرش، ویژگیهای دوره، درسهای تعریف شده، نحوه ی گذراندن پایاننامه و … را لطفا در بخش آیین نامه مطالعه کنید.
https://iasbs.ac.ir/files/documents/admission/direct-phd.pdf
https://iasbs.ac.ir/files/documents/admission/direct-phd.pdf
20 days left to the submission deadline! We welcome studies on #data for #socialgood and the #wellbeing of the most #vulnerable! Proceedings are going to be published on @FrontAIBigData!
https://t.co/QYfEgdRrhy
https://t.co/QYfEgdRrhy
Forwarded from Complex Networks (SBU)
#سمینارهای_هفتگی
مرکز شبکههای پیچیده و علمداده اجتماعی دانشگاه شهید بهشتی (CCNSD)
📝 The Role of Agents' Relation Age in Social Balance of a Singed Network
🗣 دکتر سحر عربزاده - CCNSD
⏰ دوشنبه، ۲۰ اسفند ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
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⭕️ مشتاق دیدار همه اقشار جامعه در مرکز هستیم. برای هماهنگی با مسئول جلسه میتوانید با آقای محمدحسین حکیمی تماس بگیرید:
📞 @mhakim
—————————————
🕸 SBU Center for Complex Networks & Social Data Science
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
مرکز شبکههای پیچیده و علمداده اجتماعی دانشگاه شهید بهشتی (CCNSD)
📝 The Role of Agents' Relation Age in Social Balance of a Singed Network
🗣 دکتر سحر عربزاده - CCNSD
⏰ دوشنبه، ۲۰ اسفند ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
**************************
⭕️ مشتاق دیدار همه اقشار جامعه در مرکز هستیم. برای هماهنگی با مسئول جلسه میتوانید با آقای محمدحسین حکیمی تماس بگیرید:
📞 @mhakim
—————————————
🕸 SBU Center for Complex Networks & Social Data Science
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
🎱 New on ArXiv: "Physical Versus Mathematical Billiards: From Regular Dynamics to Chaos and Back" (by Leonid Bunimovich):
https://t.co/00EeKCoJPY
https://t.co/00EeKCoJPY
arXiv.org
Physical Versus Mathematical Billiards: From Regular Dynamics to...
In standard (mathematical) billiards a point particle moves uniformly in a
billiard table with elastic reflections off the boundary. We show that in
transition from mathematical billiards to...
billiard table with elastic reflections off the boundary. We show that in
transition from mathematical billiards to...
📃 The structure and dynamics of multilayer networks
S. Boccaletti, G. Bianconi, R. Criado, C.I. del Genio, J. Gómez-Gardeñes, M. Romance, I. Sendiña-Nadal, Z. Wang, M. Zanin
🔗 https://arxiv.org/pdf/1407.0742.pdf
(Submitted on 2 Jul 2014 (v1), last revised 13 Jul 2014 (this version, v2))
📌 ABSTRACT
In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.
S. Boccaletti, G. Bianconi, R. Criado, C.I. del Genio, J. Gómez-Gardeñes, M. Romance, I. Sendiña-Nadal, Z. Wang, M. Zanin
🔗 https://arxiv.org/pdf/1407.0742.pdf
(Submitted on 2 Jul 2014 (v1), last revised 13 Jul 2014 (this version, v2))
📌 ABSTRACT
In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.
Complex Systems Studies
🔹 finally out: "Scale-free networks are rare" We thoroughly test the empirical ubiquity of 'scale-free networks' using a huge networks corpus, multiple evidence classes, and reliable stats tools real networks are far more structurally diverse than claims…
Scant Evidence of Power Laws Found in Real-World Networks
A new study challenges one of the most celebrated and controversial ideas in network science.
https://www.quantamagazine.org/scant-evidence-of-power-laws-found-in-real-world-networks-20180215/
A new study challenges one of the most celebrated and controversial ideas in network science.
https://www.quantamagazine.org/scant-evidence-of-power-laws-found-in-real-world-networks-20180215/
Forwarded from انجمن علمی فیزیک بهشتی (SBU)
#سمینار_عمومی این هفته
علم داده با طعم فیزیک
- سهشنبه ۲۱ اسفند؛ ساعت ۱۵:۳۰ الی ۱۶:۳۰
- تالار ابن هیثم، دانشکده فیزیک
کانال انجمن علمی فیزیک بهشتی
@sbu_physics
علم داده با طعم فیزیک
- سهشنبه ۲۱ اسفند؛ ساعت ۱۵:۳۰ الی ۱۶:۳۰
- تالار ابن هیثم، دانشکده فیزیک
کانال انجمن علمی فیزیک بهشتی
@sbu_physics
🔹 Highway traffic data: macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data set. arXiv:1903.04249v1 [eess.SP]
https://t.co/7yXrex4hxS
https://t.co/7yXrex4hxS
arXiv.org
Highway traffic data: macroscopic, microscopic and criticality...
This work provides a comprehensive analysis on naturalistic driving behavior
for highways based on the highD data set. Two thematic fields are considered.
First, some macroscopic and microscopic...
for highways based on the highD data set. Two thematic fields are considered.
First, some macroscopic and microscopic...
🔥 Today is the application deadline for our CSS summer school in Berlin! Don't miss it.
#computationalsocialscience https://t.co/CzWKKFAKk2
#computationalsocialscience https://t.co/CzWKKFAKk2
CSS Summer School on methods
CSS Summerschool on methods – funded by Volkswagen Foundation
[vc_single_image image=2724 img_size=full alig