The Network Connection Yasmin Merali

Slides:



Advertisements
Similar presentations
CSE 413: Computer Networks
Advertisements

Learning in the Intelligent Complex Adaptive System David Bennet Alex Bennet Mountain Quest Institute March 20, 2002.
Learning Technologies Centre Connectivism: A Learning Theory for a Digital Age George Siemens
Hard or Soft: Does it matter? Michael Lyons Manager, Strategic Analysis and Research.
Technology Management Activities and Tools
Leadership Science 1 Parsing the Influential Increment in the Language of Complexity Academy of Management Annual Meeting 2007 Jim Hazy Adelphi University.
SETTINGS AS COMPLEX ADAPTIVE SYSTEMS AN INTRODUCTION TO COMPLEXITY SCIENCE FOR HEALTH PROMOTION PROFESSIONALS Nastaran Keshavarz Mohammadi Don Nutbeam,
Security that is... Ergonomic, Economical and Efficient! In every way! Stonesoft SSL VPN SSL VPN.
Digital Preservation - Its all about the metadata right? “Metadata and Digital Preservation: How Much Do We Really Need?” SAA 2014 Panel Saturday, August.
1 Publishing Linked Sensor Data Semantic Sensor Networks Workshop 2010 In conjunction with the 9th International Semantic Web Conference (ISWC 2010), 7-11.
General questions: are there barriers for cross-breeding in the oceans? Implications for evolutionary study (e.g., species stability), ecology (e.g., local.
1 Emerging Science For Interdependent Complex Networks: “Methodological Breakthrough Needed” Junshan Zhang School of ECEE, Arizona State University NITRD.
Attributes of Innovations How the properties of an innovation affect their rate of adoption.
Report on Intrusion Detection and Data Fusion By Ganesh Godavari.
Agent-based Modeling: Methods and Techniques for Simulating Human Systems Eric Bonabaun (2002) Proc. National Academy of Sciences, 99 Presenter: Jie Meng.
Dynamics of Learning & Distributed Adaptation PI: James P. Crutchfield, Santa Fe Institute Agent-Based Computing Grantee Meeting 3-5 October 2000 Dynamics.
Evidence for dynamically organized modularity in the yeast protein- protein interaction network Han, et al
Evaluation Methods Workshop ? Definitions: an introduction Evaluation Methods Workshop Sponsored by the Community Based Collaboratives Research Consortium.
Simulation Models as a Research Method Professor Alexander Settles.
Critical Infrastructure Interdependencies H. Scott Matthews March 30, 2004.
IACT 901 Module 9 Establishing Technology Strategy - Scope & Purpose.
SPICE Themes The five AP World History themes serve as unifying threads through which students can examine broader themes throughout each period.  Themes.
Dynamics of Learning & Distributed Adaptation PI: James P. Crutchfield, Santa Fe Institute Second PI Meeting, April 2001, SFe Dynamics of Learning:
Biologically Inspired Robotics Group,EPFL Associative memory using coupled non-linear oscillators Semester project Final Presentation Vlad TRIFA.
Cognitive Science Overview Design Activity Cognitive Apprenticeship Theory Cognitive Flexibility Theory.
Fostering a Culture of Sustainability Douglas Worts and Glenn Sutter WorldViews Consulting October, 2007 Presented To: Saskatchewan Regional Centre of.
Systems Dynamics and Equilibrium
1 Where do spatial context-models end and where do ontologies start? A proposal of a combined approach Christian Becker Distributed Systems Daniela Nicklas.
Architectural Design.
OM 석사 2 학기 이연주 Markets for technology and their implications for corporate strategy Arora et al. (2001)
What is Software Architecture?
LÊ QU Ố C HUY ID: QLU OUTLINE  What is data mining ?  Major issues in data mining 2.
Qualitative Data Analysis: An introduction Carol Grbich Chapter 3 : Classical Ethnography.
1 CREATING A LEARNING ORGANIZATION AND AN ETHICAL ORGANIZATION STRATEGIC MANAGEMENT BUAD 4980.
CMPD 434 MULTIMEDIA AUTHORING Chapter 06 Multimedia Authoring Process IV.
Tie Strength, Embeddedness & Social Influence: Evidence from a Large Scale Networked Experiment Sinan Aral, Dylan Walker Presented by: Mengqi Qiu(Mendy)
MIS – 3030 Business Technologies Social Media & Conversation Big Data.
Clustering of protein networks: Graph theory and terminology Scale-free architecture Modularity Robustness Reading: Barabasi and Oltvai 2004, Milo et al.
What is Big Data? ….. Is the exponential growth and availability of data, both structured and unstructured, because of the Internet & fast growing technology.
Report on Intrusion Detection and Data Fusion By Ganesh Godavari.
SWE © Solomon Seifu ELABORATION. SWE © Solomon Seifu Lesson 10 Use Case Design.
First Generation Magnox Storage Pond (FGMSP) Programme Partner Requirements February 2014 Steve Topping.
Software Architecture and Design Dr. Aldo Dagnino ABB, Inc. US Corporate Research Center October 23 rd, 2003.
Data Warehousing Data Mining Privacy. Reading Bhavani Thuraisingham, Murat Kantarcioglu, and Srinivasan Iyer Extended RBAC-design and implementation.
Andrew S. Budarevsky Adaptive Application Data Management Overview.
Landscape Ecology: Conclusions and Future Directions.
Components of the Global Climate Change Process IPCC AR4.
Spatial ABM H-E Interactions, Lecture 4 Dawn Parker, George Mason University Agrarian models, frontier models, markets, “Spatial Agent-based Models of.
SOFTWARE DESIGN. INTRODUCTION There are 3 distinct types of activities in design 1.External design 2.Architectural design 3.Detailed design Architectural.
1 KIMAS 2003Dr. K. Kleinmann An Infrastructure for Adaptive Control of Multi-Agent Systems Dr. Karl Kleinmann, Richard Lazarus, Ray Tomlinson KIMAS, October.
An Architecture to Support Context-Aware Applications
Cognitive Radio: Next Generation Communication System
Introduction to and Measurement of Complexity FRST 532C – Complex Adaptive Systems Lorea Coronado-Garcia.
Changing the Rules of the Game Dr. Marco A. Janssen Department of Spatial Economics.
Valley View Secondary School The content of the Research Project comprises the:  Capabilities  Research framework.  In the Research Project students.
Chapter 2. From Complex Networks to Intelligent Systems in Creating Brain-like Systems, Sendhoff et al. Course: Robots Learning from Humans Baek, Da Som.
Thinking behind the environment for Making Construals (MCE)
Groupware Technology and Team Management Unit 2 Dr. Andrea Jersabek
Computer Science and Engineering 1 Mobile Computing and Security.
1 Industrial Dynamics: Introduction and Basic Concepts Industrial Structures and Dynamics: Evidence, Interpretations and Puzzles by Dosi, G., F. Malerba,
Social Information Processing March 26-28, 2008 AAAI Spring Symposium Stanford University
Stewart Mennin PhD Aydin, 2010 Leadership in a Complex World.
Big Data Quality Challenges for the Internet of Things (IoT) Vassilis Christophides INRIA Paris (MUSE team)
Bringing Diversity into Impact Evaluation: Towards a Broadened View of Design and Methods for Impact Evaluation Sanjeev Sridharan.
Article by Caroline Moser
CHAPTER 2 CREATING AN ARCHITECTURAL DESIGN.
Towards Next Generation Panel at SAINT 2002
C.U.SHAH COLLEGE OF ENG. & TECH.
Agent Based Modeling (ABM)
Data Warehousing Data Mining Privacy
Presentation transcript:

The Network Connection Yasmin Merali

Thoughts about  Context: the interconnected world  Socio-economic systems as CAS  The network signature  Knowledge Management and the “networkness” of networks

Interconnected world Internet connectivity information Dynamic context organisation Emergence... Networks and the Inter-connected World © Yasmin Merali 2013 Network dynamics Network effects Responsiveness and Fitness Adaptive &Transformational capacity Uncertainty Discontinuity Speed

Network economy...  Non-equilibrium dynamics  Nonlinearity, network effects  Uncertainty  Ecologies Yasmin Merali 2013

Agility and Intelligence  Intelligence: internal and external  Dynamic contextualisation  Speed and Resilience  Act fast (and recover fast from mistakes)  Keep options open  Maintain reconfiguration capacity (structure and components)  Exploit the networkness of networks

Complex Adaptive Systems  Open  Network signature – non-linear dynamics  Emergent systemic properties

CAS and the “Networkness of Networks”  Nonlinearity – potential for  maintaining steady state and  transformation  Requisite Variety: microdiversity, heterogeneity of  Types of links  Properties of the nodes  Types of info and knowledge flows  Degree of connectivity and density of connections  Patterns of connectivity and combinatorial potential  Potential/latent/active reach/connectivity  Mutually defining relationship of dynamics and structure  Yasmin Merali 2013

KNOWLEDGE MANAGEMENT AND THE NETWORKNESS OF NETWORKS

Social networks as Information Networks  social networks viewed as information networks embodying communication and meaning  Complexity of social information networks – Nodes – Links – Informational Content } Dynamics Heterogeneity Variable persistence Co-presence

Risky Business  Connectivity: the speed and spread of diffusion of information (or mis-information)  Information content: the ability of nodes to transform the message, strip or attach context  Signal or Noise?

STRUCTURE AND DYNAMICS

Examples: Network Structure and Non-linear Dynamics Matter  Internet: structure and vulnerability to attack  Epidemiological models for spread of diseases  Social applications: —Imitation, flocking and herding behaviours —opinion dynamics, —influencing behaviours, —logistics (e.g. mobility patterns and urban planning)  Yasmin Merali 2012

Patterns of Connectivity and Control  CAS as networks of networks  Han et al (Nature, 430, 88-93, 2004) – Date Hubs: regulators, mediators or adaptors (selectively connected across modules) – Party Hubs: integral elements within distinct modules (densely connected nodes within modules)

Networks of Networks Yasmin Merali 2013

INFORMATIONAL COMPLEXITY

shift from dealing with observation s of the world to dealing with others’ representations of possible worlds…  Yasmin Merali 2013

Information Quality  Interpretation  Representation Both are selection, abstraction and recombination exercises raising questions about the need for —Context (-ual filtering) —Cognitive Filtering —Social Filtering  Yasmin Merali 2013

Cognition  Sensemaking and Heuristics: —the embedded rules we have are derived from the environment —social media present us with a different environment from that of the past  Social Strategies: Lower cognitive load, search cost etc —Rely on others’ opinions (e.g. recommendations, reviews, likes) —Decide who we trust (whose recommendations we follow) vs decide what we think of the “raw data”  Yasmin Merali 2013

The Problem of Abstraction  Choosing the requisite level of abstraction  Moving between levels: loss of detail vs loss of dimensions  Moving between dimensional views?  Who controls − the level of abstraction − the dimensions to include?  A requisite dimensionality?  Yasmin Merali 2013

Representation & Interpretation  Technical level: storing, reconciling and choosing between alternative interpretive and representational frames.  Individual level: application of appropriate interpretative frames for received representations and for creating for a diverse audience  Collective level: legitimisation and imposition of representational and interpretive frames to be used by individual agents on behalf of the collective  Yasmin Merali the importance of context, social and cognitive scaffolding

Big Data  Looking for correlations and patterns in large volume data to extract meaning and trends  Some Issues with attributing causality to correlations: - Loss of context – Loss of meaning – reference problem - Checking big data- generation of history expensive and many possible paths exist.  Yasmin Merali 2013

shift from dealing with observation s of the world to dealing with others’ representations of possible worlds, where others may be humans or machines.  Yasmin Merali 2013

Who controls the network? Who controls the message?