Ppt on network theory and analysis

Organisation-Oriented Chemical Programming Peter Dittrich Bio Systems Analysis Group Dept. of Mathematics and Computer Science Friedrich Schiller University.

.Pre-liminary study with artificial chemistry 2.New methods for representation and analysis needed 3.Case studies for evaluation 4.Candidates for molecular structures (fraglets) 6.Quantitative evaluation 1.Build on maximum independent set problem 2.Connect to other projects 7.Demonstrator 8.Some theory: Intrinsically vs. Extrinsically self-organizing systems 9.Evolving networks, ESIGNET, Modularization? 10.Summary of Publications I. Results of Phase/


History and Theory of European Integration

Contents: Institutionalism Multi level governance Policy networks Actor based models JEAN MONNET European Module Readings for the lecture Rosamond Ben. (2000) Theories of European Integration. The European Union Series. Palgrave; chapter 5; Pierson P. The Path to European Integration: A Historical Institutional Analysis (1996). The European Union. Readings on the Theory and Practice of European Integration, Nelsen B.F. and Alexander C – G. Stubb (eds.), Palgrave/


依據群體模組監控之網路群體學習系統 Group model monitor on network group learning system 國立中央大學資訊工程研究所 指導教授 : 陳國棟教授 學生 : 區國良.

exploring group learning behaviors Provide the communication network exploring tool for teachers monitoring group learning status by exploring communications Integrate theories of social science theories, educational theories and computer science techniques to extract the causal relationships between learning status and learning performance 82 Papers Journal Papers Gwo-Dong Chen, Kuo-Liang Ou, Chen-Chung Liu and Baw-Jhiune Liu Intervention and strategy analysis for web group-learning Journal of/


Noshir Contractor Professor, Departments of Speech Communication & Psychology Graduate School of Library & Information Science Director, Age of Networks.

Online Entertainment) Science Applications CLEANER: Collaborative Large Engineering & Analysis Network for Environmental Research (NSF) CP2R: Collaboration for Preparedness, Response & Recovery (NSF) TSEEN: Tobacco Surveillance Evaluation & Epidemiology Network (NSF, NIH, CDC) Projects Investigating Social Drivers for Communities Contextualizing Goals of Communities Challenges of empirically testing, extending, and exploring theories about networks … until now Enter: Cyberinfrastructure & Web 2.0 Science/


Chico Education Network 1 CSU, CHICO Computer Science Program Presenter: Professor Anne Keuneke Graduate Coordinator: Susan Ledgerwood Susan’s

Structures Operating Systems/Networks Operating Systems/Networks Programming Language Theory Programming Language Theory Software Engineering/Systems Analysis Software Engineering/Systems Analysis Graphics and Image Processing Graphics and Image Processing Artificial Intelligence and Expert Systems Artificial Intelligence and Expert Systems Chico Education Network 14 New Master’s Core Courses CSCI 312 Software Engineering (offered Spring 2003 live web-based course) CSCI 356 Design and Analysis of Algorithms/


Tutorial on Text Mining and Link Analysis for Web and Semantic Web Marko Grobelnik, Dunja Mladenic Jozef Stefan Institute Ljubljana, Slovenia KDD 2007,

space model Language models Full-parsing Cross-modality Collaborative tagging / Web2.0 Templates / Frames Ontologies / First order theories Template / frames level Templates are the mechanism for extracting the information from text  …templates always focused on/(social networks) – this would include web Synonyms for Link Analysis or at least very related areas are Graph Mining, Network Analysis, Social Network Analysis In the next slides we’ll present some of the typical definitions, ideas and algorithms /


Forensic Vulnerability Discovery And Analysis Or… #0w 1 2 $t0p //0rrY1N9 & LOV3 7h3 $p|0i7 !! E. Larry Lidz The University of Chicago

96 39020 96 telnet 42 1735 7f 19 00 00 00 Theory #2 New vulnerability Network logs sort of imply telnet bug given traffic levels. Contact CERT, SGI. SGI releases advisory about telnetd. And onto…Cisco Logs from one of our Cisco AS5300 modem /0 200..Pragma: no-cache..Cache-Control: no- cache..Content" Other details… Vulnerability analysis of AS5300: –Running old version of code, vulnerable to the big SNMP bug. –Ntp, tacacs, and telnet run on it. No known problems with any of them. Mitigating factors: –Access/


Biological Networks – Graph Theory and Matrix Theory Ka-Lok Ng Department of Bioinformatics Asia University.

Biological Networks – Graph Theory and Matrix Theory Ka-Lok Ng Department of Bioinformatics Asia University 2 Content Topological Statistics of the protein interaction networks How to characterize a network ? – Graph theory, topological parameters (node degrees, average path length, clustering coefficient, and node degree correlation.) – Random graph, Scale-free network, Hierarchical network – Evolution of Biological Networks 3 Biological Networks - metabolic networks Metabolism is the most basic network of/


S OCIAL N ETWORKING A social network is a social structure made up of a set of social actors (such as individuals or organizations) and a set of the dyadic.

. [6][10][11] In psychology, in the 1930s, Jacob L. Moreno began systematic recording and analysis of social interaction in small groups, especially classrooms and work groups (see sociometry). In anthropology, the foundation for social network theory is the theoretical and ethnographic work of Bronislaw Malinowski, [12] Alfred Radcliffe-Brown, [13][14] and Claude Lévi-Strauss. [15] A group of social anthropologists associated with Max Gluckman/


HARMONIC AND COMPLEX ANALYSIS AND APPLICATIONS ESF Research Networking Programme 2007-2012 Mid-term report Alexander Vasiliev (University of Bergen, Norway)

and Geometry with Mathematical Physics” (ITGP); FP6/7 Network “Conformal Structures and Dynamics” (CODY); FP6/7 Network “Geometry, Mathematical Physics and Applications” ENIGMA; FP6/7 Network “Sub-Riemannian Geometric Analysis on Lie Groups” GALA; Nordic (NordForsk) NetworkAnalysis and/Birkhäuser volume “Analysis and Mathematical Physics”- 2009; Special Springer volume planned 2012; Special issue in the journal “Complex Analysis and Operator Theory”- 2010; New journal “Analysis and Mathematical Physics” in/


1 Computational Models for Micro-level Social Network Analysis Jie Tang Tsinghua University, China.

University, China 2 What we do: a big picture 3 Computational Models for Micro-level Social Network Analysis Two-step flow theory Structural hole theory Social balance theory Social status theory Social theories Graphical models 4 Related Publications Published more than 100 papers on major conferences and journals Knowledge Graph Data Mining Social Network IEEE/ACM Trans (12), SIGIR (2) IJCAI (3) ACL (2) ICDM (10) JCDL’11 Best/


Social Network Data Outline 1.Foundations: Data basics & Software (review/catch up) 2.Collecting Data 1.Relations 2.Level of analysis 3.Sources 3.Data.

This is also how we do compound relations: Mother x Brother  “Uncle”) Basic Measures & A little graph theory Reachability The distance from one actor to another is the shortest path between them, known as the geodesic distance. If/going to interview alter anyway. But, taking advantage of this efficiency assumes very high coverage rates. Network Sampling Social Network Data Level of Analysis 2.Snowball and “link trace” designs Ego-networksComplete Census Link-Tracing Designs Basic idea is to use “adaptive /


Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 3 Networks of Neurons 1 Michael Arbib: CS564 - Brain Theory and.

find the right projection of the complexity of units at one level of analysis to provide components for large scale models at the next level of analysis. Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 3 Networks of Neurons 9 Multi-Level Modeling and Data Analysis McCulloch-Pitts Neural Networks (Logic and computability theory) Hodgkin-Huxley model of the action potential (spike propagation) (Nonlinear differential equations/


Quantitative Provenance Using Bayesian Networks to Help Quantify the Weight of Evidence In Fine Arts Investigations A Case Study: Red Black and Silver.

In Fine Arts Investigations A Case Study: Red Black and Silver Outline Probability Theory and Bayes’ Theorem Likelihood Ratios and the Weight of Evidence Decision Theory and its implementation: Bayesian Networks Simple example of a BN: Why is the grass wet? Taroni Bayesian Network for trace evidence The Bayesian Network for Red, Black and Silver Stress testing: Sensitivity analysis Recommendation for RBS Probability Theory “The actual science of logic is conversant at/


PROGRAM ON ENTREPRENEURSHIP COURSE OUTLINE Session 1. INTRODUCTION OF ALL IN MBA CLASS !!! Self Entrepreneurship story !!! Nature and development of Entrepreneurship.

instructions are to be given. LECTURE METHOD- Instructor talks on theory followed by practice by the trainees DEMONSTRATION METHOD- Instructor performs followed/and concept of projects & classification Project identification and formulation Project Design and Network Analysis Project Report and Appraisal Factory Design and layout  Session 5 FINANCIAL ANALYSIS An input in financial appraisal Ratio analysis and investment process Break even and profitability analysis Social Cost-Benefit analysis Budget and/


1 Real-Time Queueing Network Theory Presented by Akramul Azim Department of Electrical and Computer Engineering University of Waterloo, Canada John P.

1 Real-Time Queueing Network Theory Presented by Akramul Azim Department of Electrical and Computer Engineering University of Waterloo, Canada John P. Lehoczky 2 Outline Fundamentals – Queueing theory – RT queueing theory Contributions – RT network queueing theoryAnalysis – Simulation studies – Reducing lateness Critics and Reviews 2 3 Queueing Theory - Basics Queuing Theory deals with systems of the following type: Input Process Output Process Queue ExampleInput ProcessOutput Process BankCustomers /


CS105 Introduction to Social Network Lecture: Yang Mu UMass Boston.

organizations) called "nodes", which are tied (connected) by one or more specific types of interdependency, such as friendship, common interest What is a Social Network ? Social Network Analysis (SNA) - views social relationships in terms of network theory consisting of nodes and ties (also called edges, links or connections). Some concepts A node or vertex is an individual unit in the graph or system. A graph or/


Complete Network Analysis Exploratory Analysis Social Networks capture the relations between people. These relations form a system that can be thought.

flexibility in the theory, and some interesting insights. Consider the case of group opinion leaders with unchanging opinions (I.e. many people have high a ii, while a few have low): Complete Network Analysis Network Connections: Network Diffusion & Peer Influence Group 1 Leaders Group 2 Leaders Group 3 Leaders Peer Opinion Leaders Complete Network Analysis Network Connections: Network Diffusion & Peer Influence Peer Opinion Leaders Complete Network Analysis Network Connections: Network Diffusion & Peer/


Dr. C. Lee Giles David Reese Professor, College of Information Sciences and Technology Professor of Computer Science and Engineering Professor of Supply.

Freeman, 2000) 1949: A. Rapaport developed a probability based model of information flow 50s and 60s: Distinct research by individual researchers 70s: Field of social network analysis emerged. –New features in graph theory – more general structural models –Better computer power – analysis of complex relational data sets “Structural Analysis: from method and metaphor to theory and substance.” H. White: “The presently existing, largely categorical descriptions of social structure have no/


Social Network Analysis https://store.theartofservice.com/the-social-network-analysis-toolkit.html.

James S https://store.theartofservice.com/the-social-network-analysis-toolkit.html Network theory - Social network analysis 1 Social network analysis examines the structure of relationships between social entities.Wasserman, Stanley and Katherine Faust. 1994. Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press. https://store.theartofservice.com/the-social-network-analysis-toolkit.html Network theory - Social network analysis 1 2010 Amongst many other applications, social/


Psychological Interventions for Effective Entrepreneurial Mindsets Michael Frese NUS, Business School, Dept. of Management and Organization, Singapore.

be useful in combination with pure business trainings Check which investment has higher effects and utility: e.g., investments in developing entrepreurial networks There is evidence that training reduces the effects of ideas that one does not / support for action First, establish a valid model based on meta-analysis and good evidence Second, develop model that allows to deduce interventions Third, translate theory and model into principles of actions Fourth, translate principles of action into concrete/


Abdelzaher (UIUC). Research Milestones DueDescription Q1 Estimation-theoretic QoI analysis. Formulation of analytic models for quantifying accuracy of.

fusion. Formulation of metrics for data selection when all data cannot be used/sent. Q4Validation of QoI theory. Documentation and publications. 4 Signal data fusion Information Network Analysis Sensors, reports, and human sources Trust, Social Networks Methods: Bayesian analysis Maximum likelihood Estimation etc. Methods: Ranking Clustering etc. Methods: Fact-finding Influence analysis etc. Machine Learning Methods: Transfer knowledge CCM etc. Fusion of hard sources Fusion of soft sources/


Information Theory for Mobile Ad-Hoc Networks (ITMANET): The FLoWS Project FLoWS Overview and Update Andrea Goldsmith.

. 1998. Challenge: Consummate Union When capacity is not the only metric, network theory is needed to deal with delay, random traffic, and application requirements Optimization provides the missing link for consummation –Becomes a menage-a-trois Wireless Information Theory Wireless Network Theory Optimization Theory Optimization as the missing link Shannon capacity analysis generally becomes intractable for more than a few nodes, except in scaling laws. Capacity results are/


Co-factors Fatty acids Sugars Nucleotides Amino Acids Catabolism Polymerization and complex assembly Proteins Precursors Autocatalytic feedback Taxis and.

technology’s complexity is now approaching biology’s. While components differ, striking convergence at the network level: architecture, layering, protocols, and feedback control, all structuring complex multiscale modularity. For example, new theories of Internet and related networking technologies leading to test and deployment of new protocols for high performance networking. The same analysis errors crept in here but have largely been eliminated (within the Internet, if not the/


Lesson 18: Networks of Queues and Exercises Giovanni Giambene Queuing Theory and Telecommunications: Networks and Applications 2nd edition, Springer All.

obtained by applying the Jackson theorem with the Kleinrock assumption. This results is approximated. © 2013 Queuing Theory and Telecommunications: Networks and Applications – All rights reserved Final Considerations on Feedback Queue Analysis zWe can thus estimate the approximation entailed by the Kleinrock assumption in this case: © 2013 Queuing Theory and Telecommunications: Networks and Applications – All rights reserved M/G/1 approach without the Kleinrock assumption M/G/1 approach or/


Theory and Analysis of Kinship Networks Rural Classes in Slovenian Austria Javanese Muslim Village Elites Reciprocal Exchange and Equality in South India.

Theory and Analysis of Kinship Networks Rural Classes in Slovenian Austria Javanese Muslim Village Elites Reciprocal Exchange and Equality in South India Middle Eastern segmented lineage systems Historical continuities: Women in the Old Testament With a focus on Predictive Cohesion Theory and Structural Endogamy Doug White Anthropological Seminar Hamburg University, June 20, 2005 Halle MPI in Social Anthropology, June 27, 2005 Outline of the talk (59 slides) I/


Foundations of Network Analysis Overview Theory: A structural Approach to Sociology Wellman Emirbayer Methods: Points and Lines Data formats Matrices Adjacency.

“A manifesto for Relational Sociology” “Substantialism vs Relationalism” Theoretical Domains: Power, equality, freedom, agency Substantive domains (research): Social Structure Network analysis Culture Social Psychology Problems Boundary specification Network dynamics Causality Normative implication Foundations Theory “Structural Analysis: from method and metaphor to theory and substance.” Five elements: Structural constraint on activity (as opposed to inner forces) focus on relations among units (as opposed/


Networked Life and Social Networks Thanks to Michael Kearns, James Moody, Anna Nagurney, Colexn.

Freeman, 2000) 1949: A. Rapaport developed a probability based model of information flow 50s and 60s: Distinct research by individual researchers 70s: Field of social network analysis emerged. –New features in graph theory – more general structural models –Better computer power – analysis of complex relational data sets “Structural Analysis: from method and metaphor to theory and substance.” H. White: “The presently existing, largely categorical descriptions of social structure have no/


P. Smyth: Networks MURI Meeting, June 3, 2011 1 Scalable Methods for the Analysis of Network-Based Data MURI Meeting, June 3 rd 2011, UC Irvine Principal.

interest in analysis of large network data sets Many of the available techniques were descriptive, could not handle -Prediction -Missing data -Covariates, etc 2007: significant statistical body of theory available on network modeling Many of the available techniques did not scale up to large data sets, not widely known/understood/used, etc Goal of this MURI project Develop new statistical network models and algorithms to broaden/


Lesson 16: Different TCP Versions, Analytical Details and Implementation Giovanni Giambene Queuing Theory and Telecommunications: Networks and Applications.

= 250 ms IBR = 2 Mbit/s (bottleneck link) B = 84 pkts, max number of TCP segments in the buffer of the link © 2013 Queuing Theory and Telecommunications: Networks and Applications – All rights reserved Example of NewReno Micro- Analysis © 2013 Queuing Theory and Telecommunications: Networks and Applications – All rights reserved We have not considered here the RTT granularity due to ticks. B = 84 pkts cwnd max = BDP + B = 168 pkts/


Modeling and identification of biological networks Esa Pitkänen Seminar on Computational Systems Biology 14.2.2007 Department of Computer Science University.

In a metabolic steady-state, these two enzymes consume and produce the metabolite in the middle at the same rate Static modelsDynamic models Discrete variables Continuous variables Plain graphs Bayesian networks (Probablistic) Boolean networks Stochastic simulation Dynamic Bayesian networks Biochemical systems theory (in steady-state) Metabolic control analysis Constraint-based models Differential equations Biochemical systems theory (general) Constraint-based modeling Constraint-based modeling is a/


Information Theory for Mobile Ad-Hoc Networks (ITMANET): The FLoWS Project Thrust 3 Application Metrics and Network Performance Asu Ozdaglar and Devavrat.

algorithms for resource allocation Stochastic Network Analysis Flow-based models and queuing dynamics Game Theory New resource allocation paradigm that focuses on hetereogeneity and competition Ozdaglar: Distributed second order methods for network optimization Ozdaglar: Noncooperative power control using potential games Effros: Noncooperative network coding Medard: Decoding and network scheduling for increased capacity Ozdaglar: Near potential games for network analysis Johari: Supermodular games El Gamal/


1 Percolation, Cluster and Pair Correlation Analysis (L22) Texture, Microstructure & Anisotropy, Fall 2009 A.D. Rollett, P. Kalu Last revised: 22 nd Nov.

applicable to analysis of materials properties, the existence of texture results in strong correlations between each link of the network, where properties depend on grain boundary characteristics. Standard percolation theory assumes that the strength (or probability of a connection) for each link is independent of all others in the system. Grain boundaries meet at triple junctions (topology of boundary networks) and so one of the/


JEAN MONNET European Module History and Theory of European Integration Marina V. Larionova.

Contents: Institutionalism Multi level governance Policy networks Actor based models JEAN MONNET European Module Readings for the lecture Rosamond Ben. (2000) Theories of European Integration. The European Union Series. Palgrave; chapter 5; Pierson P. The Path to European Integration: A Historical Institutional Analysis (1996). The European Union. Readings on the Theory and Practice of European Integration, Nelsen B.F. and Alexander C – G. Stubb (eds.), Palgrave/


 Combining Belief & Desire  Basis of Utility Theory  Utility Functions.  Multi-attribute Utility Functions.  Decision Networks  Value of Information.

Desire  Basis of Utility Theory  Utility Functions.  Multi-attribute Utility Functions.  Decision Networks  Value of Information  /each of evidence  Example : Buying oil drilling rights ◦ Three blocks A,B and C, exactly one has oil, work k ◦ Prior probabilities 1/3 each, /Choice is nonobvious, information worth a lot c) Choice is nonobvious, information worth little  Decision analysis ◦ Decision maker  States Preferences between outcomes ◦ Decision analyst  Enumerate possible actions & outcomes /


Online Research Methods and Social Theory Grant Blank Prepared for the ESRC colloquium on Sage Handbook of Online Research Methods, March 29, 2007.

and Social Theory Grant Blank Prepared for the ESRC colloquium on Sage Handbook of Online Research Methods, March 29, 2007 2 Robert Boyle & the Air Pump Experiments with pressure- temperature-volume Social setting: English Civil War Religious belief as personal vision Alternative social theory/ Examples Network theory Coleman Report 9 Qualitative analysis bottleneck Available data have increased far more than our ability to analyze them Analysis is easier But Coding slow, labor intensive Analysis slow Impact/


Matrix Analytic Methods - Some Real Life Applications David Lucantoni DLT Consulting, L.L.C www.DLTconsulting.com Queueing Theory and Network Applications,

Secondary Hub Zone 4 Transport ADM GR-303 DACS IP Proprietary Protocol TDM/T-1 DHCP/DNS TFTP Servers EMS Systems DOCSIS Protocol Queueing Theory and Network Applications, Korea University, 2011 Effect of Long Holding Times (Cont’d) Preliminary Analysis problem in evening hours 7 PM – 11 PM no discernible spatial pattern Push-backs Engineering followed “standard” procedures Only 5-8% of calls are/


Complete Network Analysis Exploratory Analysis Social Networks capture the relations between people. These relations form a system that can be thought.

flexibility in the theory, and some interesting insights. Consider the case of group opinion leaders with unchanging opinions (I.e. many people have high a ii, while a few have low): Complete Network Analysis Network Connections: Network Diffusion & Peer Influence Group 1 Leaders Group 2 Leaders Group 3 Leaders Peer Opinion Leaders Complete Network Analysis Network Connections: Network Diffusion & Peer Influence Peer Opinion Leaders Complete Network Analysis Network Connections: Network Diffusion & Peer/


Simulating Game Theoretic Micro Trade Networks as the Dynamics of Entrepreneurial Organization Formations.

through their previous associations in their studies. The Theory There are fewer trial-and-error processes and the entrepreneurial network stabilizes as the number of people in the network increases to be more than 200. Rowley, Behrens, and Krackhardt (2000) also found using an empirical analysis that an embedded business network can result in incremental innovations, while Burton, Sørensen, and Beckman (2002) found that entrepreneurs accrue resources through/


Lecture 4 – Parallel Performance Theory - 2 Parallel Performance Theory - 2 Parallel Computing CIS 410/510 Department of Computer and Information Science.

model ❍ Should not enforce one 33 Introduction to Parallel Computing, University of Oregon, IPCC Lecture 4 – Parallel Performance Theory - 2 LogP Interconnection Network MP MPMP ° ° ° P ( processors ) Limited Volume (L/ g to or from a processor) o (/Computational Resources 49 Introduction to Parallel Computing, University of Oregon, IPCC Lecture 4 – Parallel Performance Theory - 2 Performance Analysis and Tuning: The Basics  Most important goal of performance tuning is to reduce a programs wall clock/


Stochastic Network Optimization and the Theory of Network Throughput, Energy, and Delay Michael J. Neely University of Southern California

, fluid model analysis Lee, Mazumdar, Shroff [2006]  Stochastic gradients, flow based, infinite backlog General Theory in F&T book: (Georgiadis, Neely, Tassiulas F&T 2006) Unifies Lyapunov drift and Performance Optimization with a very simple modification: Every slot, observe queues and channels, and take a greedy action to minimize “Drift + Penalty”: Δ(Q(t)) + VE{Φ(t)|Q(t)} General mobile network DriftDrift Penalty General Theory in F&T/


Ashish Goel Dept of CS USC Balaji Prabhakar Network Algorithms: Techniques for Design and Analysis Nick McKeown Depts of EE and CS.

,” Proc. INFOCOM 2000. Competitive Analysis: Theory and Applications in Networking Balaji Prabhakar 169 Competitive Analysis in Networking: Outline Background Incremental construction of Multicast Trees –The Greedy Strategy Routing and Admission Control –The Exponential Metric More Restricted Adversaries –Adversarial Queueing Theory Theoretical Analysis; Rules of Thumb; Pragmatic Analysis 170 Decision Making Under Uncertainty: Online Algorithms and Competitive Analysis Online Algorithm: –Inputs arrive/


Engineering shortest path algorithms (a round trip between theory and experiments) Camil Demetrescu University of Rome “La Sapienza” Giuseppe F. Italiano.

single arc on all shortest distances in a graph, TR LBS-TNT-26, Transport Network Theory Unit, London Business School, 1967. V. Rodionov, A dynamization of the all-pairs least cost problem, USSR Comput. Math. And Math. Phys. 8, 233-277, 1968. … State of the Art 65-/ Maintain all the locally shortest paths of the graph How do locally shortest paths change in a dynamic graph? Assumptions behind the analysis Locally shortest paths π xy are internally vertex-disjoint xy π1π1 π3π3 π2π2 No two paths share the same/


The Roles of Intrusion Detection and Data Fusion in Cyber Security Situational Awareness A Review of the Published Literature and Discussion of Future.

Work (majority of the work) Proactive Work Quality Management (training, etc) Cognitive Task Analysis Introduction Current State of ID Technology Theory and Background Future Research Conclusions & Discussion D’Amico et al. (2007) – CTA of Network Security Professionals in the Department of Defense Cognitive Task Analysis Introduction Current State of ID Technology Theory and Background Future Research Conclusions & Discussion Model Building To understand the contributions of the algorithm/


1 Multi-Channel Wireless Networks: Theory to Practice Nitin Vaidya Electrical and Computer Engineering University of Illinois at Urbana-Champaign Sept.

with n  ∞ Are these results relevant ?  Yield insights on design of good routing and scheduling protocols  Insights relevant in smaller networks too 43 Outline Theory to Practice Multi-channel protocol Channel Abstraction Module IP Stack Interface Device Driver User Applications ARP /A B C D E F A B C D E F m = 1 interface c = 1, 2 channels 48 Insights from Analysis (5)  Channel switching delay potentially detrimental, but may be hidden with  careful scheduling – create idle time on interfaces between /


Tutorial on Text Mining and Link Analysis for Web and Semantic Web Marko Grobelnik, Dunja Mladenic Jozef Stefan Institute Ljubljana, Slovenia KDD 2007,

space model Language models Full-parsing Cross-modality Collaborative tagging / Web2.0 Templates / Frames Ontologies / First order theories Template / frames level Templates are the mechanism for extracting the information from text  …templates always focused on/(social networks) – this would include web Synonyms for Link Analysis or at least very related areas are Graph Mining, Network Analysis, Social Network Analysis In the next slides we’ll present some of the typical definitions, ideas and algorithms /


Tutorial on Text Mining and Link Analysis for Web and Semantic Web Marko Grobelnik, Dunja Mladenic Jozef Stefan Institute Ljubljana, Slovenia KDD 2007,

space model Language models Full-parsing Cross-modality Collaborative tagging / Web2.0 Templates / Frames Ontologies / First order theories Template / frames level Templates are the mechanism for extracting the information from text  …templates always focused on/(social networks) – this would include web Synonyms for Link Analysis or at least very related areas are Graph Mining, Network Analysis, Social Network Analysis In the next slides we’ll present some of the typical definitions, ideas and algorithms /


Information Theory for Mobile Ad-Hoc Networks (ITMANET): The FLoWS Project Thrust 1.

the presence of known interference HOW IT WORKS: A set of typical channel outputs is defined. A sphere packing analysis is conducted to bound the number of codewords that can be packed based on the requirement that the error /Need to check appropriate conditions on case-by-case basis Explore connections between information theory and statistics of E-type channels to obtain new performance results in the network setting. IMPACT NEXT-PHASE GOALS ACHIEVEMENT DESCRIPTION STATUS QUO NEW INSIGHTS Provides explict/


Conceptual frameworks for research: Intermediate Concept Construction & Conceptualizing Units of Analysis zConceptual frameworks for research zConceptualizing.

zContexts of activities yOrganizational context ySociohistorical context ySituated contexts yHow contexts interact & co-construct instances of activities Alternative Conceptual Frameworks: Actor-Network Theory Actor-Network (for example) xHeterogeneous ensembles of people and artifacts, human and non-human actors/actants xSemiotic analysis xTechnologies, systems, applications, artifacts as actors ontologies of non-human actants ->actors xIntermediaries between actors, co-constructing, enrolling, translating/


Network analysis of complex systems Peter Andras School of Computing Science Newcastle University

common formal framework for theories of Luhmann, Varela & Maturana and generalize these Current work combining inspiration from category theory interpretation of computation, dynamics of networks, pattern computation, computational learning, and other areas Current work combining inspiration from category theory interpretation of computation, dynamics of networks, pattern computation, computational learning, and other areas 37 Acknowledgements Network analysis: Network analysis: Marcus Kaiser, Olusola Idowu/


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