PPT-TODAY WE ARE GOING TO TALK ABOUT NETWORK GRAPHS.

Author : celsa-spraggs | Published Date : 2016-11-22

JOURNAL WRITE DOWN A NETWORK CONNECTS THINGS TOGETHER eg COMPUTERS MUDDY CITY NETWORKS 1 17 1 MINUTE JOURNAL WRITE DOWN WRITE THE LIST OF NETWORKS ON THE BOARD

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TODAY WE ARE GOING TO TALK ABOUT NETWORK GRAPHS.: Transcript


JOURNAL WRITE DOWN A NETWORK CONNECTS THINGS TOGETHER eg COMPUTERS MUDDY CITY NETWORKS 1 17 1 MINUTE JOURNAL WRITE DOWN WRITE THE LIST OF NETWORKS ON THE BOARD FOR FUTURE REFERENCE. Sometimes, two graphs have exactly the same form, in the sense that there is a one-to-one correspondence between their vertex sets that preserves edges. In such a case, we say that the two graphs are . Isabelle Stanton, UC Berkeley. Gabriel . Kliot. , Microsoft Research XCG. Modern graph datasets are huge. The web graph had over a trillion links in 2011. Now?. . facebook. has “more than 901 million users with average degree 130”. based. . Knowledge. . Representation. . Formalism. . designed. for the . Meaning. -. Text. . Theory. & . Application to . Lexicographic. . Definitions. in the RELIEF . project. Maxime Lefrançois, Fabien . Misleading Graphs. Good . graphs are extremely powerful tools for displaying large quantities . of complex . data; they help turn the realms of information available today . into knowledge. . But, unfortunately, some graphs deceive or mislead. This . Today, we are going to. Sing “Mon . bonhomme. de . neige. ”. Review regular _ER verbs. Talk about activities that we like. Write comments to our classmates’ profiles. Work in groups to form sentences.. Anthony Bonato. Ryerson University. East Coast Combinatorics Conference. co-author. talk. post-doc. Into the infinite. R. Infinite random geometric graphs. 111. 110. 101. 011. 100. 010. 001. 000. Some properties. Daniel A. Spielman. Yale University. AMS Josiah Willard Gibbs Lecture. January . 6. , 2016 . From Applied to Pure Mathematics. Algebraic and Spectral Graph Theory. . . Sparsification. :. a. pproximating graphs by graphs with fewer edges. Instructions – using H7. Read through the . first . 4 . slides to understand how graphs can be used to misrepresent data, or at least try to mislead you.. On a new slide explain CLEARLY how the next . Thanks to Mr. Hammond @ . www.mrhammond.org/math/mathlessons/7-8.ppt. Review. We have been looking at many different ways to present data. . Now let’s see how people can use these charts and graphs to mislead you.. Section . 10.3. Representing Graphs: . Adjacency Lists. Definition. : An . adjacency list . can be used to represent a graph with no multiple edges by specifying the vertices that are adjacent to each vertex of the graph.. Lucia Dettori. DePaul University. June 29. th. 2007. Purpose of a research talk. Is . not. to. Impress the audience. Tell them all you know about a subject. Present every little detail of your work. The vertical scale is too big or too small, or skips numbers, or doesn’t start at zero.. The graph isn’t labeled properly.. Data is left out.. But some real life misleading graphs go above and beyond the classic types. Some are intended to mislead, others are intended to shock. And in some cases, well-meaning individuals just got it all plain wrong. These are some of my favorite recent-history misleading graphs from real life.. Objective. : To explore how and why we change the way we speak in different situations. . First, a bit of Latin.... Liter. ature = written works. Liter. al = relating to the exact letter. Liter. acy = the state of being educated. JOURNAL. . WRITE DOWN:. “A NETWORK CONNECTS . THINGS TOGETHER”. e.g. COMPUTERS. MOSES . Jrnal. iPad Slide #1. MUDDY CITY - NETWORKS. 15 SEC WHAT IS. A NETWORK?. ON A STICKY NOTE. : . . MAKE . A LIST .

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