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Center for Complex Networks and Systems Research

Center for Complex Networks and Systems Research
UPDATE: As of 2015 the GiveAlink project has been archived and the GiveALink.org website is no longer operational. Link analysis algorithms leverage hyperlinks created by authors as semantic endorsements between pages, while social bookmarks provide a way to leverage annotations by information consumers as a source of information about pages. This project explores a novel approach that is a synergy of the two: soliciting annotations from users about the content of pages, in a way that implicitly forms networks of relationships between and among resources and tags. These socially generated relationships are then aggregated to build bottom-up, global semantic similarity networks. Strategic collaborations to share data, accelerate evaluation, and maximize impact are under way with key groups in Europe through the TAGora Project and its partners at Rome Sapienza, Sony Paris, the ISI Foundation in Torino, and the BibSonomy group at Kassel University. Project Members Collaborators & Alumni: Related:  Complex Networks Abound

givealink /FAQ What is GiveALink? GiveALink is a social annotation, organization, recommendation, and navigation system for the Web. It is also a research project by the Networks and Agents Network in the Center for Complex Networks and Systems Research of the Indiana University School of Informatics. The project is funded by National Science Foundation (award IIS-0811994: Social Integration of Semantic Annotation Networks for Web Applications). However any opinions, findings, and conclusions or recommendations expressed on this site do not necessarily reflect the views of the NSF. How is GiveALink different from Delicious? There are several great social tagging and social bookmarking systems and Web sites that provide many useful services such as sharing, tagging, syncing, searching, and recommendation. Why share bookmarks? OK, what can GiveALink do? Some functionality is already available on the GiveALink site. What are you working on next? Great, how can I help? Thank you for asking! Yes! Yes!

linkagogo Hypernetworks in the Science of Complex Systems Visual Browser About the application Visual Browser is a Java application that can visualize the data in RDF scheme. The main principle of the visualization is that: the triple (resource, resource, resource) is represented by two nodes connected by an edge the triple (resource, resource, literal) is represented by a hint (small window appearing on mouse over the subject node) the triple (resource, resource, literal) can be represented by the length of the edge (between resource and resource) if the literal can be converted to a number Visual Browser uses the Jena framework to obtain the data, since the RDF scheme can be saved in different forms (a single XML file or a relational database). The visualization engine is derived from TouchGraph LLC. The graph is animated to create an impression of fixed points (nodes) and elastic connections (edges). The user interface allows the user to expand and hide nodes, switch the view of edges and display hints. Two-level visualization Examples of visualization Citeseer

Linkroll What is Linkroll? Linkroll is a free link blogging service. At a personal level you can bookmark, categorize and comment on all the great web pages/links you find. All your bookmarks are then sortable and searchable by category and date. All bookmarks are also accessible, by category and/or user, in the form of RSS feed (for your news aggregator), or JavaScript (for syndication on your own web site) It works on a group level by enabling you to browse other user's bookmarks, and subscribe to users and link categories that appeal to you. NEW FEATURE: We've just added an exciting new feature to Linkroll which enables you to create personal podcast channels. You must register to post links to Linkroll and also to access the advanced subscribe and ignore features. What is Linkroll not? Linkroll is not a place to store private bookmarks, everything is public. How does it work? Signup here. Credit Linkroll is modeled a lot on del.icio.us, the brilliant creation of Joshua Schachter

From networks to hypernetworks in complex systems science Jeffrey Johnson (Open University, UK) Abstract: Complex systems have multilevel dynamics emerging from interactions between their parts. ­Affiliation Jeffrey Johnson Centre for Complexity and Design The Open University, Milton Keynes, MK7 6AA, UK jeff.johnson@open.ac.uk Biography Jeffrey Johnson is Professor of Complexity and Design at the Open University in the UK. Presentation Slides Video References Johnson, J. Johnson, Jeffrey (2012). ‘Challenges in complex systems science’, San Miguel, M.; Johnson, J. Johnson, Jeffrey (2012). Blog - Mohiomap There has been a lot happening at Mohio lately. We have moved to a new office, hired 2 more talented people, and have been diligently working on the next version of Mohiomap. Continue reading For power networker Frank Bastone, building connections and nurturing relationships is everything. Every single week he makes a point to attend at least 2-3 networking events, in order to expand his horizons and help his business grow. Continue reading Here at Mohio we are constantly on the hunt for easier ways to manage your documents, and are continually looking to push the boundaries on how our users interact with their Evernote, Dropbox, Google Drive, and Box content. We’ve been listening to all the feedback that we’ve received from you, and are quietly working on a new experience for our Mohiomap users (including some exciting things for teams!) Continue reading You may have heard about how Mohiomap can increase productivity, but do you know how? Continue reading Hi! My name is Jun.

Newsvine X 4, 021014 (2014) - Driving Interconnected Networks to Supercriticality In the age of Facebook, Twitter, and email, the phenomena of a story, an idea, or a certain behavior going “viral” are commonplace. But, viewed scientifically, such phenomena are far from being trivial. First of all, the underlying mechanisms have certain degrees of unpredictability, or randomness. Moreover, the structure of human connectivity that enables such viral spreading (or “diffusion”) is actually composed of many layers of networks arbitrarily interconnected. Very little is known about the basic scientific properties of viral spreading processes taking place in interconnected multilayer networks. We find that features of diffusion processes in interconnected networks strongly depend on the relation of proportionality between the numbers of connections that nodes have in different layers. Our findings have direct applicability in the design and control of real interconnected systems. Subject Areas

7 reasons you have to try out BagTheWeb now Tag your bags for future reference and easy searching Hashtags are created for bags when they’re used in a bag’s description, comments or recommendations. Hashtags help you and others when categorizing, searching, and discovering bags. Networks of Networks: The Last Frontier of Complexity Contributions from leaders in the field of Network Science Encapsulates developments in this emerging field in a clear manner Interdisciplinary fields are represented The present work is meant as a reference to provide an organic and comprehensive view of the most relevant results in the exciting new field of Networks of Networks (NetoNets). Seminal papers have recently been published posing the basis to study what happens when different networks interact, thus providing evidence for the emergence of new, unexpected behaviors and vulnerabilities. From those seminal works, the awareness on the importance understanding Networks of Networks (NetoNets) has spread to the entire community of Complexity Science. Content Level » Research Related subjects » Complexity - Game Theory / Mathematical Methods Table of contents / Preface / Sample pages Popular Content within this publication Show all authors Hide authors

curated.by Complex Networks Complex Networks Complex Networks are everywhere. Many phenomena in nature can be modeled as a network, as brain structures, protein-protein interaction networks, social interactions and the Internet and WWW. All such systems can be represented in terms of nodes and edges indicating connections between nodes. In Internet, for example, the nodes represent routers and the edges the physical connections between them. In the same way, in transport networks, the nodes can represent the cities and the edges the highways that connect them. An important characteristic of these networks is that they are not random, but have a more structured architecture. In this site we provide some resources for the study of complex networks. L. da F. University of São Paulo - USP Institute of Physics at São Calos - IFSC Brazil

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