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Network theory is an area of computer science and network science and part of graph theory.(wkp)

Electrical network

Complex network

In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in real graphs. (wkp)

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Netwrok Theory

Hillier B. (1999), Space is the Machine: A Configurational Theory of Architecture

Hillier B. and Hanson J. (1984), The Social Logic of Space Analysis Architecture_Kaufmann

Ratti C. (2004). Space syntax: some inconsistencies. Environment and Planning B - Planning and Design

AA_Parametric urbanism briefs

Jiang B. and Claramunt C. (2002), Integration of space syntax into GIS: new perspectives for urban morphology

The Structure and Dynamics of Networks Mark Newman, Albert-László Barabási, & Duncan J. Watts

Graph Mining Techniques for Social Media Analysis Mary McGlohon Christos Faloutsos

Networks, Crowds, and Markets: Reasoning About a Highly Connected World

Network Science

computational information design


Computer network

Biological network

Artificial neural network

The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus the term has two distinct usages: Biological neural networks are made up of real biological neurons that are connected or functionally related in a nervous system. In the field of neuroscience, they are often identified as groups of neurons that perform a specific physiological function in laboratory analysis. Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. The real, biological nervous system is highly complex: artificial neural network algorithms attempt to abstract this complexity and focus on what may hypothetically matter most from an information processing point of view. Good performance (e.g. as measured by good predictive ability, low generalization error), or performance mimicking animal or human error patterns, can then be used as one source of evidence towards supporting the hypothesis that the abstraction really captured something important from the point of view of information processing in the brain. Another incentive for these abstractions is to reduce the amount of computation required to simulate artificial neural networks, so as to allow one to experiment with larger networks and train them on larger data sets.

Social network

Telecommunications network

Business networking

Chemical Reaction Networks

Gene regulatory network

A gene regulatory network or genetic regulatory network (GRN) is a collection of DNA segments in a cell which interact with each other indirectly (through their RNA and protein expression products) and with other substances in the cell, thereby governing the rates at which genes in the network are transcribed into mRNA. .... t one level, biological cells can be thought of as "partially-mixed bags" of biological chemicals – in the discussion of gene regulatory networks, these chemicals are mostly the mRNAs and proteins that arise from gene expression. These mRNA and proteins interact with each other with various degrees of specificity. Some diffuse around the cell. Others are bound to cell membranes, interacting with molecules in the environment. Still others pass through cell membranes and mediate long range signals to other cells in a multi-cellular organism. These molecules and their interactions comprise a gene regulatory network. A typical gene regulatory network looks something like this: The nodes of this network are proteins, their corresponding mRNAs, and protein/protein complexes. Nodes that are depicted as lying along vertical lines are associated with the cell/environment interfaces, while the others are free-floating and diffusible. Implied are genes, the DNA sequences which are transcribed into the mRNAs that translate into proteins. Edges between nodes represent individual molecular reactions, the protein/protein and protein/mRNA interactions through which the products of one gene affect those of another, though the lack of experimentally obtained information often implies that some reactions are not modeled at such a fine level of detail. These interactions can be inductive (the arrowheads), with an increase in the concentration of one leading to an increase in the other, or inhibitory (the filled circles), with an increase in one leading to a decrease in the other. A series of edges indicates a chain of such dependences, with cycles corresponding to feedback loops. The network structure is an abstraction of the system's chemical dynamics, describing the manifold ways in which one substance affects all the others to which it is connected. In practice, such GRNs are inferred from the biological literature on a given system and represent a distillation of the collective knowledge about a set of related biochemical reactions.


Graph theory



computer science


operations research

particle physics




comunicaiton design


Network mapping


Network architecture

urban: Parametric Urbanism_Information Urbanism

"The interaction between human activity and the urban form is essential in understanding a generative city design"

Information Visualization


Burak Arıkan

Massachusetts Institute of Technology (MIT), Cambridge Master of Science in Media Arts and Sciences, 2006 İstanbul Bilgi Üniversitesi, İstanbul Görsel İletişim Tasarımı Yüksek Lisans, 2004 Yıldız Teknik Üniversitesi, İstanbul İnşaat Mühendisliği Lisans, 2001 Sergiler & Performanslar 2011 Soft Borders. Upgrade! International. São Paulo Pixxelpoint. Nova Gorica / Gorizia 
Burak. Maçka Sanat Galerisi. İstanbul
 Becoming Istanbul. SALT. İstanbul Meta-Control Performance. Gaîté Lyrique. Paris Yedi Yeni İş. Borusan Contemporary. İstanbul Ateşin Düştüğü Yer. DEPO. İstanbul 2010 İkinci Sergi. ARTER. İstanbul 2. Antakya Bienali. Antakya Fikirler Suça Dönüşünce. DEPO. İstanbul Meta-Control. İKSV Salon. İstanbul 2009 Off-Istanbul. Künstlerhaus Bethanien. Berlin “New Media: Why”. Neuberger Museum of Art. Purchase, NY Delüks. Istanbul Meta-Control. Time Warp Festival. Mannheim MediaSpace. Film Winter. Stuttgart 2008 Meta-Control. Nocturnal Festival. Los Angeles, CA Connect the Dots. Hafriyat. Istanbul BoDIG. Istanbul After The Net. Observatori.Valencia MYPOCKET. Online 2007 Amber 07. Istanbul Meta-Control. Metamorphose. Tokyo Tershane. Istanbul Meta-Control. Sonar Festival. Barcelona Meta-Control. Detroit Electronic Music Festival (DEMF). Detroit Meta-Control. Club Phazon. Tokyo Meta-Control. Time Warp Festival. Mannheim 2006 A Stock Market in Life. Upgrade! International. Simultaneously in Istanbul, Munich, Boston, Oklahoma City Venice Architecture Biennale. Central Pavilion. Venice Collision Nine. Art Interactive. Cambridge, MA 2005 Collision el Ocho, Art Interactive. Cambridge, MA Seamless Fashion Show, MIT Media Laboratory. Cambridge, MA Atölyeler & Konuşmalar 2011 “Şehirde Bıraktığımız İzler Kime Ait” 90 Depar, SALT. İstanbul Artist Talk. Macka Sanat Galerisi Artist Talk. Contemoprary Istanbul Network Mapping and Analysis Workshop. Performa, New York Network Mapping and Analysis Workshop. General Assembly, New York Network Mapping and Analysis Workshop. Xanadu Art Gallery, Ulaanbaatar Network Mapping and Analysis Workshop. Xindanwei, Shanghai Artist Talk. Xindanwei, Shanghai Network Mapping and Analysis Workshop. Mimar Sinan, İstanbul Network Mapping and Analysis Workshop. İTÜ Mimarlık, İstanbul Network Mapping and Analysis Workshop. ARTER, İstanbul Artist Talk. ARTER, İstanbul Network Mapping and Analysis Workshop. İTÜ Mimarlık, İstanbul 2010 Düğümküme Toplantıları. Platform Garanti. İstanbul Network Mapping and Analysis Workshop. Amber’10 Datacity. Istanbul Digital Networks and the Politics of Urban Governmentality Panel. Istanbul Network Mapping Workshop, 4th Upgrade!International Conference. São Paulo SIDU Network Mapping Workshop, Helsinki Citizens’ Int. Assembly. Istanbul Real Time Rome. Yapyaşa Lectures, Amber Platform. Istanbul Network Mapping Workshop, AKD. Ankara Network Mapping and Analysis Workshop, Curabodrum. Bodrum Free Fall Symposium. Apartment Project. Istanbul 2009 Relative Positions and Conclusions. Suriye Pasaji, Istanbul NGO Network Mapping Workshop. Istanbul Bilgi University. Istanbul NGO Network Mapping Workshop. Helsinki Citizens’ Assembly. Istanbul Network Mapping Workshop. Kayitdisi, Yildiz Technical University. Istanbul Artist Talk. Upgrade! Istanbul, Istanbul Lecture. Bogazici University Complex Systems Research Lab. Istanbul “On Social Networks”. Upgrade! Istanbul. Istanbul 2008 Artist talk. Neuberger Museum of Art. New York Artist talk. Yildiz Teknik University Department of Art and Design. Istanbul MYPOCKET and Meta-Markets. Contemporary Art Talks. Mimar Sinan University, Istanbul Creative Networking Workshop. RISD. Providence, RI Creative Networking Workshop. MIT / VAP. Cambridge, MA MYPOCKET. Dorkbot, Location One, New York, NY Turbulence Mixed Realities Symposium. Emerson College. Boston, MA 2007 Creative Networking Workshop. ITU TBT / Amber Festival. Istanbul Artist talk. Marmara University Film School. Istanbul Terms&Conditions. 400Seconds. Istanbul Generative Arts. Aksanat. Istanbul Intel / IFTF Sensors & Sensemaking Expert Workshop. Palo Alto, CA Re-construction of Informational Space. Upgrade! International. Istanbul 2006 Open I/O. Pecha Kucha. Istanbul Computational Design Workshop. Istanbul Bilgi University. Istanbul Computational Design Workshop. Sabanci University. Istanbul Computational Design Workshop. ITU Department of Architecture. Istanbul Real Time Rome. Ars Electronica. Linz Collective Systems Design. Ars Electronica. Linz Open I/O. ISEA. San Jose, CA 2005 Flexible Screen Applications. Toshiba Research Center. Tokyo Recent work from the Physical Language Workshop. AIGA. Boston, MA 2004 Programming Media Workshop. Istanbul Bilgi University. Istanbul 2003 International Interactive Media Design Symposium. Yeditepe University. Istanbul Yayınlar 2010 “The Immediated Now: Network Culture and the Poetics of Reality” Kazys Varnelis. Networked Book About Networked Art. Turbulence 
 Lapses/*4. 53. Venedik Bienali. Ed. Başak Şenova. İstanbul Kültür ve Sanat Vakfı. İstanbul 2009 “Handbook of Research on Computational Arts and Creative Informatics”. Greg Smith. Information Science Reference, New York “Dersimiz Güncel Sanat”, Ed. Azra Tuzunoglu. Outlet Güncel Sanat Dizisi-1. İstanbul 2008 Design and the Elastic Mind Catalogue, MoMA, New York Observatori 2008 Exhibition Catalogue, “Observatori 2008 – After The Future”. Valencia 2006 “Real Time Rome”. Arredamento Architecture Magazine. Istanbul “Collective Systems for Creative Expression”. M.S. Thesis, MIT Media Laboratory. 2005 Digital Information Design Camp. MIT Media Laboratory. Cambridge 2003 9/11 Photographs. 9/11 New York-Istanbul. Homer Press. Istanbul Yazılar ve Röportajlar 2009 interview in NTV. Istanbul interview in CNN Turk. Istanbul interview in HABERTURK TV. Istanbul interview in Radikal. Istanbul interview in SABAH. Istanbul interview in Hurriyet. Istanbul Susan Hodara. “‘New Media’: Brain Trees, DNA, Receipts … and Bells”, New York Times 2008 “Burak Arikan Interview“. Online “Observatori apuesta por la obra digital más experimental”, ElPais 2007 “Meta-Markets: Speculating on social media“. Online “Real Time Rome”. The Economist Technology Quarterly. New York 2006 “Openstudio Relationship Network”. Architectural Design (AD). London “Interview with Burak Arikan”. We Make Money Not Art. Online “Interview with Burak Arikan”. Trendsetter Magazine. Istanbul “Tech for art’s sake”. The Boston Globe. Boston Juri 2008 Digital Communities. Prix Ars Electronica. Linz Amber Festival. Istanbul 2007 Digital Communities. Prix Ars Electronica.Linz Amber Festival. Istanbul Akademik 2008 Creative Networking. Adjunct Faculty. ITP, Tisch School of Arts. NYU. New York 2005 Fundamentals of Computational Media Design (MAS 110). TA for Prof. John Maeda. MIT. Cambridge, MA 2004 Fundamentals of Computational Media Design (MAS 110). TA for Prof. John Maeda. MIT. Cambridge, MA

Nilüfer Kozikoğlu

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Ağ Modelleri Buluşması

Araştırmacı Sanatçı Burak Arıkan, İnşaat, gemi ve yazılım mühendisi Ahmet Kutsi Nircan (BU), Sistem araştırmacısı Ali Rana Atılgan, (SU), Bilgisayar Mühendisi Kemal Kocabiyik ve mimar Nilüfer Kozikoğlu'nun buluşması, kendi aralarında ve katılımcılarla ağ modelleri ve görselleştirmesi üzerine konuşmaları.17 Mart 2012Cumartesi 17:00 Salt Galataİstanbul