It’s hard to conceive of a topic of more broad and personal interest than the study of the mind. In addition to its traditional investigation by the disciplines of psychology, psychiatry, and neuroscience, the mind has also been a focus of study in the fields of philosophy, economics, anthropology, linguistics, computer science, molecular biology, education, and literature. In all these approaches, there is an almost universal fascination with how the mind works and how it affects our lives and our behavior. Studies of the mind and brain have crossed many exciting thresholds in recent years, and the study of mind now represents a thoroughly cross-disciplinary effort. Researchers from a wide range of disciplines seek answers to such questions as: What is mind? How does it operate? What is consciousness?The Encyclopedia of the Mind brings together scholars from the entire range of mind-related academic disciplines from across the arts and humanities, social sciences, life sciences, and computer science and engineering to explore the multidimensional nature of the human mind.

Click here to access the free trial to the online version which expires on April 30, 2013.

Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. It is the main venue for a wide range of researchers and readers from computer science, network science, social sciences, mathematical sciences, medical and biological sciences, financial, management and political sciences. We solicit experimental and theoretical work on social network analysis and mining using a wide range of techniques from social sciences, mathematics, statistics, physics, network science and computer science.

Read, download and save these articles online. They are available online for free until April 15, 2013:

• Social networks and online environments: when science and practice co-evolve - Devan Rosen, George A. Barnett, Jang Hyun Kim
• Social network analysis: developments, advances, and prospects - John Scott
• Supervised methods for multi-relational link prediction - Darcy Davis, Ryan Lichtenwalter, Nitesh V. Chawla
• Trends in science networks: understanding structures and statistics of scientific networks - Miray Kas, Kathleen M. Carley, L. Richard Carley
• Modeling blogger influence in a community - Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu

The Journal of the Chicago Colloquium on Digital Humanities and Computer Science is published by Division of the Humanities, The University of Chicago. It collects and publishes peer-reviewed papers and posters presented at the annual Chicago DHCS Colloquium.

The goal of the colloquium is to bring together researchers and scholars in the humanities and computer science to examine the current state of digital humanities as a field of intellectual inquiry and to identify and explore new directions and perspectives for future research.

Journal of the Chicago Colloquium on Digital Humanities and Computer Science is available free of charge as an Open Access journal on the Internet.

Please click here to access.

Social Network Analysis and Mining (SNAM) is intended to be a multidisciplinary journal to serve both academia and industry as a main venue for a wide range of researchers and readers from computer science, social sciences, mathematical sciences, medical and biological sciences. The main areas covered by SNAM include: (1) data mining advances on the discovery and analysis of communities, personalization for solitary activities (like search) and social activities (like discovery of potential friends), the analysis of user behavior in open forums (like conventional sites, blogs and forums) and in commercial platforms (like e-auctions), and the associated security and privacy-preservation challenges; (2) social network modeling, construction of scalable, customizable social network infrastructure, identification and discovery of dynamics, growth, and evolution patterns using machine learning approaches or multi-agent based simulation.

1. Enjoy Free Access to the latest Online First Articles until March 31, 2012:
   • Modeling blogger influence in a community - Nitin Agarwal, Huan Liu, Lei Tang and Philip S. Yu
   • A new analysis method for simulations using node categorizations - Tomoyuki Yuasa and Susumu Shirayama
   • Leveraging the network information for evaluating answer quality in a collaborative question answering portal - Lin Chen and Richi Nayak
   • Trends in science networks: understanding structures and statistics of scientific networks - Miray Kas, Kathleen M. Carley and L. Richard Carley
   • Mining dynamic social networks from public news articles for company value prediction - Yingzi Jin, Ching - Yung Lin, Yutaka Matsuo and Mitsuru Ishizuka (Open Access Article)
   • Selection in scientific networks - Walter Quattrociocchi, Frederic Amblard and Eugenia Galeota
   • Facebook as a Small World: a topological hypothesis - Barbara Caci, Maurizio Cardaci and Marco E. Tabacchi
   • Exogenous control of DeGroot belief learning - Usha Sridhar and Sridhar Mandyam
2. Online First

While some articles are not yet published in print, they are already available via Online First.

3. Check Out What Your Peers Read
You may click here to view the most downloaded articles which are downloaded live and in real-time from Social Network Analysis and Mining.

At Online College Classes, you will find resources offered by some of the finest educational institutions in the world in an exceptionally large variety of academic disciplines and topics. Below show these resources:

• Online Classes

A number of world class universities and institutions of learning make premium course content readily available for you. Harvard, Yale, MIT, and UC Berkeley are among the leading providers of lecture series and online courses. The online classes cover many disciplines, such as social sciences, humanities, arts and sciences.

 

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Many academic institutions have set up their own projects to make learning available to all, with MIT’s Open CourseWare at the vanguard. You can get a few free courses available on the web from a variety of university around the world. Some of them include lessons, podcasts, notes and videos on many topics.

 

• Textbooks & eBooks

Digital textbooks exist in a variety of forms, including open-source documents, interactive eBooks, and as digital versions of regular texts. You can find a list of these online sources, organized by subject, to help you find the information necessary for your study.

 

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The improvements in internet speed and hosting services like YouTube have inspired a proliferation of video on the web. Many colleges now post recorded lectures for their students, and some even open this service up to the public. You may obtain recorded lectures and short seminars covering a wide variety of subjects.

 

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Being able to see or hear the material makes it easier to remember and understand the academic materials. From this website, you may find that many websites have dedicated themselves to providing books on tape and podcasts that people can download and listen to, for free, to help retain information.

 

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The types of lessons include podcasts, written tutorials and video for each learner to choose what works best for them. Some of these programs center on conversational phrases for travelers while others focus on grammar to really understand the language. You may gain a variety of resources related to learning various languages such as English, French, German, Japanese, Korean and so on.

 

• Archives & Directories

There are a number of websites that do the searching, sorting and cataloging for you. You will find a number of these archives and directories, covering a range of topics from historical documents to literary collections online, to even video lectures from well-know and distinguished professors.

 

• Research and Writing Courses

Each study tool is tailored to the specific subject it is included in, though there may be some crossover. The guidelines are not set in stone, they simply are meant to lead you to increased academic success. Feel free to browse each of the sections to find advice that works for you.

 

[Source: Online College Classes]