Bringing networks to life.
From sub-cellular biology to the Internet, networks capture the architecture behind complex behavior. They map the pathways that channel genetic information between cellular components, spread viruses among linked individuals and help neuronal signals propagate between brain regions. But the network is just the static architecture underlying these rich dynamics. How does this structure translate into dynamic behavior?
At the Complex Network Dynamics lab we translate structure into function. Predicting how signals spread along network pathways, uncovering the network components that contribute to the system’s stability and resilience and detecting the nodes and links that enable information to flow throughout the system. Our ultimate goal is to systematically use complex network data to understand, predict and control its observed behavior.
So, what can your network do?
Evolving patterns of epidemic flow
While topology is static - the patterns of flow can change with time. Watch as the flow shifts with time from the hubs to the peripheral nodes. Read more
Signal propagation in complex networks
How does a signal travel in a network environment? Unpredictably. Here we use a dynamic metric to predict the actual spatio-temporal propagation patterns. Read more
FEATURED PUBLICATIONS
PEOPLE
Bat-el Ktuvim
Maybe You?
We are always seeking talented and motivated researchers. Contact us about open positions. Or visit our Positions page.
RESEARCH
Dynamics of Complex Networks
Statistical physics is the theory of interacting particles, gases and liquids. Its way of thought, however, goes beyond the domain of material science. In a broader perspective it provides us with a bridge between the microscopic description of a system and its observed macroscopic behavior. With it we can track the way in which system-level phenomena emerge from the mechanistic description of the system’s interacting components. For instance how the blind interactions between pairs of magnetic spins lead to the seemingly cooperative phenomena of magnetism.
At CND we develop the statistical physics of complex systems: our interacting particles are not atoms or spins, but rather genes, proteins, animal species or humans. We track the way in which individual human interactions lead to the spread of ideas, perceptions and also diseases, or how biochemical reactions between proteins transfer information between cellular components. These systems defy many of the classic principles that are central to the way physics is traditionally done. The particles are self-driven and non-Newtonian, the interactions are nonlinear and the underlying geometry in random, highly irregular and non-localized. In two words – complex systems.
With these challenges at hand, we find that the dynamic behavior of these complex systems – social, biological or technological – can be predicted, analyzed and understood using the tools and way of thought of statistical physics.
MEDIA COVERAGE
To get a popular taste of our scientific research please visit the links below
Universality in Network Dynamics
We think of statistical mechanics as the theory of interacting particles, gases and liquids. Its toolbox, however - indeed, its way of thought - goes beyond the domain of material science.
17.11.2013
Predicting the tipping point of complex systems
While preparing soup, have you ever wondered at what point does a pot of boiling water start evaporating?
Now, we know from basic physics that water can be of two states- liquid or gas.
But is it possible to determine the exact interaction and energy between the billions of water molecules that converts liquid to vapor?
12.05.2016
A new framework to predict spatiotemporal signal propagation in complex networks
Past studies have found that a variety of complex networks, from biological systems to social media networks, can exhibit universal topological characteristics. These universal characteristics, however, do not always translate into similar system dynamics.
22.02.2019
A KID IN A NETWORK SHOP
“There are some questions that you don’t need to be a scientist to ask. You need to be a little kid,” said Baruch Barzel, a post-doctoral research associate at Northeastern’s Center for Complex Network Research.
25.09.2013
A WIRING DIAGRAM FOR DISEASE
The human genome is a vast parts list for the inner works of our biology. It codes for thousands of proteins that make us who we are and keep our bodies up and running
15.07.2013
הנבואה ניתנה למדענים: מתי ייכחדו הדבורים?
תחשבו איך העולם היה נראה אילו הייתה לנו האפשרות לנבא אסונות, הפסקות חשמל או מחלות? כל אותן דוגמאות הן בעצם תוצאה של קריסת מערכות מורכבות ובזכות מחקר ישראלי פורץ דרך, בו לקח חלק ד"ר ברוך ברזל מהמחלקה למתמטיקה של אוניברסיטת בר אילן, ניתן לזהות כיום לראשונה את אותה נקודה קריטית - רגע לפני קריסתה
25.03.2016
האם מחקר פורץ דרך בתורת הכאוס יכול להביא למהפכה גם בחקר המוח
תורת הכאוס, שהייתה אופנתית בשנות ה-90 של המאה הקודמת, קצת נזנחה בשנים האחרונות, אבל ניר להב, שחוקר את תופעת הסנכרון במערכות כאוטיות, מקווה להחזיר את העניין בה
15.12.2018
הקשר המסתורי בין פייסבוק, שפני סלע והפסקות חשמל
מגפות קטלניות, מתקפות סייבר, קריסת תשתיות שמשתקת מדינות שלמות – אנשי המרכז לחקר רשתות משוכנעים שאת כל הקטסטרופות האלה אפשר למנוע בעזרת כמה כלים מתמטיים. במעבדה באוניברסיטת בר־אילן הם מפצחים את הכללים שאליהם מצייתת כל רשת בעולמנו, מצמחייה בג'ונגל ועד טוויטר ופייסבוק, ומגלים כיצד אפשר להציל או למוטט אותה.
22.09.2019
15 הנערים הכי חכמים בישראל
לאחר מיונים קפדניים ומתישים, 15 נערות ונערים בני 16 התקבלוט לתוכנית היוקרתית ביותר של משרד החינוך. המטרה - לייצר את כלות וחתני פרסי הנובל של שנת אלפיים וחמישים. כלומר, אולי
14.02.2018
Network dynamics - talk at BIU international school on comlex networks
From Neurons to Facebook - Presentation at Nitzozot
Universal Resilience Patterns in Complex Networks video
An interview with Channel 20
An interview with American Friends of Bar-Ilan University
Editing by Lonnie Ostrow
An interview with Channel 13
Webinar - Alternating quarantine for COVID19 mitigation
Krav Mada - Video presentation with Galey Zahal
No exit? Panel hosted by the Israel embassies to UK and US
VIDEOS
PUBLICATIONS
Alternating quarantine for sustainable epidemic mitigation
Dror Meidan, Nava Schulmann, Reuven Cohen, Simi Haber, Eyal Yaniv, Ronit Sarid, Baruch Barzel
Nature communications 12, 1
Growing scale-free simplices
Kiriil Kovalenko, Irene Sendiña-Nadal, Nagi Khalil, Alex Dainiak, Daniil Musatov, Andrei M Raigorodskii, Karin Alfaro-Bittner, Baruch Barzel, Stefano Boccaletti
Communications Physics 4, 1
Xiyun Zhang, Zhongyuan Ruan, Muhua Zheng, BaruchBarzel and Stefano Boccaletti
Chaos, Solitons & Fractals 140, 110130
Yanjun Wang, Yakun Cao, Chenping Zhu, Fan Wu, Minghua Hu, Vu Duong, Michael Watkins, Baruch Barzel & H. Eugene Stanley.
Scientific Reports 10, 6890
Eran Reches, Daniel Knebel, Jan Rilich, Amir Ayali and Baruch Barzel
Nir Schreiber, Reuven Cohen, Simi Haber, Gideon Amir and Baruch Barzel
Physical Review E 100, 052119
Hoi-To Wai, Anna Scaglione, Baruch Barzel and Amir Leshem
IEEE Transactions on Signal Processing 67, 4582
Adar Hacohen, Reuven Cohen, Sol Efroni, Baruch Barzel and Ido Bachelet
Nature Scientific Reports 9, 14345
Chittaranjan Hens, Uzi Harush, Reuven Cohen and Baruch Barzel
Nir Lahav, Irene Sendiña Nadal, Chittaranjan Hens, Baruch Ksherim, Baruch Barzel, Reuven Cohen and Stefano Boccaletti
Physical Review E 98, 052204
Prosenjit Kundu, Chittaranjan Hens, Baruch Barzel and Pinaki Pal
Europhysics Letters,120, 40002
Uzi Harush and Baruch Barzel
Nature Communications 8, 2181
Jianxi Gao, Baruch Barzel and Albert-László Barabási
Gang Yan, Georgios Tsekenis, Baruch Barzel, Yang-Yu Liu, Jean-Jacques E. Slotine and Albert-László Barabási
Baruch Barzel, Yang-Yu Liu and Albert-László Barabási
Nature Communications 6, 7186
Baruch Barzel and Albert-László Barabási
Nature Biotechnology 31, 720-725
Baruch Barzel and Albert-László Barabási
Nature Physics 9, 673-681
Baruch Barzel and Ofer Biham
Physical Review E 86, 031126-38
Baruch Barzel and Ofer Biham
Physical Review Letters 106, 150602-05
Baruch Barzel, Ofer Biham, Raz Kupferman, Azi Lipshtat and Amir Zait
Physical Review E 82, 021117-28
Baruch Barzel and Ofer Biham
Physical Review E, 80, 031117-30
Franck Le-Petit, Baruch Barzel, Ofer Biham, Evelyne Roueff and Jacques Le-Bourlot
Astronomy and Astrophysics 505, 1153-1165
Baruch Barzel and Ofer Biham
Physical Review E, 80, 046104-14
Baruch Barzel and Ofer Biham
Physical Review E 78, 041919-26
Baruch Barzel and Ofer Biham
Journal of Chemical Physics, 127, 144703
Baruch Barzel and Ofer Biham
Astrophysical Journal Letters, 658, L37-L40
Baruch Barzel, Ofer Biham and Raz Kupferman
Physical Review E, 76, 26703-12
Baruch Barzel, Ofer Biham and Raz Kupferman
SIAM Multiscale Modeling & Simulation, 6(3), 963-982
Baruch Barzel and Ofer Biham
In Proceeding of the International Workshop on Molecules in Space & Laboratory, Paris, France, (May 14-18, 2007). Eds.: J.L. Lemaire and F. Combes, 425-430
Correspondence
Response to comment on Network link prediction by global silencing of indirect correlations
Baruch Barzel and Albert-László Barabási
Nature Biotechnology 33, 339-342
Response to comment on Binomial moment equations for stochastic reaction systems
Baruch Barzel and Ofer Biham
Physical Review Letters 112, 088902
Books
Proceedings of the Third International Winter School and Conference on Network Science
Rami Puzis, Baruch Barzel and Erez Shmueli
Academic Press - Elsevier
Graph theory properties of cellular networks
Handbook of Systems Biology – Concepts and Insights, Chapter 9.
Baruch Barzel, Amitabh Sharma and Albert-László Barabási
Dr. Baruch Barzel
Mathematics Department
Bar-Ilan University
Ramat-Gan, 52900
Israel
CONTACT US
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