Network theory | Complex systems theory

Social network

A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science. (Wikipedia).

Social network
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Welcome - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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Networking

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Networking

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O'Reilly Webcast: Information Security and Social Networks

Social networks are an information security game changer, and enterprises and their management are struggling to understand and deal with the security risks of social networks. Traditional information security protected your corporate IT perimeter. But that won't help in the web 2.0 era

From playlist O'Reilly Webcasts

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24C3: I know who you clicked last summer

Speaker: Svenja Schröder A swiss army knife for automatic social investigation This talk introduces some techniques of social network analysis and graph theory. It aims at using simple approaches for getting interesting facts about networks. I will use the data of a popular community t

From playlist 24C3: Full steam ahead

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Nicholas Christakis: The Sociological Science Behind Social Networks and Social Influence

The Sociological Science Behind Social Networks and Social Influence Watch the newest video from Big Think: https://bigth.ink/NewVideo Join Big Think Edge for exclusive videos: https://bigth.ink/Edge ---------------------------------------------------------------------------------- If you

From playlist The Floating University Sessions | Big Think

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Stanford Seminar - How Behavior Spreads

EE380: Computer Systems Colloquium Seminar "How Behavior Spreads" Speaker: Damon Centola, University of Pennsylvania About the talk: New social movements, technologies, and public-health initiatives often struggle to take off, yet many diseases disperse rapidly without issue. Can the les

From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series

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Diverse Minds: Kafui Dzirasa, Science Talk - 2/11/2021

Kafui Dzirasa is the inaugural speaker in Caltech’s Diverse Minds Seminar Series*. His science talk is titled, “Mapping the structure of emotions”. To read the abstract and find out more about Dr. Dzirasa visit his bio page on the Diverse Minds website: https://diverseminds.caltech.edu/sp

From playlist Diverse Minds Seminar Series

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Why Humans Have Friends: The Evolutionary Biology of Lifelong Social Interactions

Nicholas Christakis, MD, PhD, Sol Goldman Family Professor of Social & Natural Science and Professor of Internal Medicine/General Medicine, gives a lecture entitled, "Why Humans Have Friends: The Evolutionary Biology of Lifelong Social Interactions," during the Yale Claude D. Pepper Sympos

From playlist Aging Research at Yale: Past, Present and Future

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Statistical Rethinking 2022 Lecture 15 - Social Networks

Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=Mm0AG5Zr1IU Music: https://www.youtube.com/watch?v=0iVdR2rtD90 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM Chapters: 00:00 Introduction 03:46 Sharing and ne

From playlist Statistical Rethinking 2022

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25c3: Privacy in the social semantic web

Speaker: Jan Torben Social networks based on XMPP Thank you all for your feedback. I currently register some hacking space on berlios.de so we can have a mailing list and maybe a wiki! please contact me at: jan.heuer uni-muenster.de In the last years the static web has moved towards an i

From playlist 25C3: Nothing to hide

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SICSS 2017 - Guest Lecture by Sandra Gonzalez-Bailon (Day 4. June 22, 2017)

The first Summer Institute in Computational Social Science was held at Princeton University from June 18 to July 1, 2017, sponsored by the Russell Sage Foundation. For more details, please visit https://compsocialscience.github.io/summer-institute/2017/

From playlist Guest Speakers

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Public Health Seminar. Social Support Networks and Health Behaviors Among Latinos.

Recorded on November 4, 2013. This presentation will focus on personal networks and their potential influences on behavioral risk factors for chronic disease among Latinos. Although the role of social networks in the propagation of health behaviors is a burgeoning area of research, there

From playlist Public Health: Graduate Seminars (2013 - 2015)

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Networks: What is a LAN?

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From playlist Networks

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Sociogram | Dynamical system | Large-scale macroeconometric model | Dependency graph | Dynamic network analysis | Statistics | Snowball sampling | Social network analysis | Network topology | Centrality | Network theory | Blockmodeling | Parameter | Vertex-transitive graph | Complex network | Transfer function | Degree (graph theory) | Barabási–Albert model | Information theory | Structural holes | Clustering coefficient | Graph theory | Induced subgraph | Vertex (graph theory) | Chaos theory | Power law | Assortativity | Distance (graph theory) | Network science | Subset | Complex adaptive system | Scale-free network | Axiom | Random graph | Agent-based model | Degree distribution | Emergence | Agent (economics) | Dual-phase evolution | International Network for Social Network Analysis | Lattice graph | Signed graph | Social complexity | Stochastic block model | Independence number | Demography | Transitive set