Community Information Toolkit Video 1 – Storyboard. Community Information Networks: An Overview Video 1 of the Community Information Toolkit Rich Wiggins & Chuck Severance May 20, 1999 – Revised June 26, 1999. Narrator. Welcome. "Community".By sabine
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Community Information Networks for Domestic Violence Survivors:. Gaps and Safety-Nets Library Research Seminar IV, London Ontario, October 2007; Lynn Westbrook. Personal Crisis Context. Kaleidoscopic views Dependent on actor’s perspective Divergent and even contradictory purposes
Information Networks. Networks and Measurements Lecture 2. What is an information network? . Network: a collection of entities that are interconnected A link (edge) between two entities (nodes) denotes an interaction between two entities
Information Networks. Link Analysis Ranking Lecture 8. Why Link Analysis?. First generation search engines view documents as flat text files could not cope with size, spamming, user needs Second generation search engines Ranking becomes critical use of Web specific data: Link Analysis
INFORMATION NETWORKS. TIER 9. Let’s Re-Cap…. General Concepts. What is Computer? Data & Information 3 components of a Computer System 4 elements of a Computer System Features of a Computer System Disadvantages of Computers Units of Storage. COMPUTER SYSTEM. - -. - - -.
Information Networks. Generative processes for Power Laws and Scale-Free networks Lecture 4. Announcement. The first assignment will be handed out after the spring break The second assignment around middle of April
Information Networks. Failures and Epidemics in Networks Lecture 12. Spread in Networks. Understanding the spread of viruses (or rumors, information, failures etc) is one of the driving forces behind network analysis predict and prevent epidemic outbreaks (e.g. the SARS outbreak)
Information Networks. Rank Aggregation Lecture 10. Announcement. The second assignment will be a presentation you must read a paper and present the main idea in 20 minutes Deadline: May 3rd, submit slides Presentations will take place in the last week
Information Networks. Power Laws and Network Models Lecture 3. Erdös-Renyi Random Graphs. For each pair of vertices (i,j), generate the edge (i,j) independently with probability p degree sequence: Binomial in the limit: Poisson real life networks: power-law distribution
Information Networks. LAN A LAN (Local Area Network) is a system whereby individual PCs are connected together within a company or organization. WAN A WAN (Wide Area Network) allows you to connect to other computers over a wider area (i.e. the whole world).