.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/

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/

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/

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/

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/

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 /

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 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/

. [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/

**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) **Network** “**Analysis** **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/

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/

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 /

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/

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/

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. Lehoczky 2 Outline Fundamentals – Queueing **theory** – RT queueing **theory** Contributions – RT **network** queueing **theory** – **Analysis** – 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 /

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/

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/

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/

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/

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/

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/

. 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/

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/

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 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/

“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/

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/

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/

= 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/

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/

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/

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/

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/

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 /

**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/

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/

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/

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/

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/

, 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/

,” 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/

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/

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/

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 /

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 /

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 /

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/

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/

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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