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. Jure Leskovec (jure@cs.stanford.edu). Joint work with Eric Horvitz, Microsoft Research. Instant Messaging. Contact (buddy) list. Messaging window. 2. Instant Messaging as a Network. 3. Buddy. Conversation. Undergraduate Seminar in Computer Science. Prof. Ronitt Rubinfeld. What are we here for?. Connections. Taken from http. ://thenextweb.com/socialmedia/2013/11/24/facebook-grandparents-need-next-gen-social-network/. Network Science: Random Graphs . 2012. Prof. Albert-László Barabási. Dr. Baruch Barzel, Dr. Mauro Martino. RANDOM NETWORK MODEL. Network Science: Random Graphs . 2012. Erdös-Rényi model (1960). Presented By: . Mohammed . Al. -. Mehdhar. 2015. P. resent. a. ti. o. n. . O. u. tli. ne. Introduction. Approaches. Implementation. Evaluation. Conclusion. Q. . &. 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.. 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. 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. Richard C. Wilson. Dept. of Computer Science. University of York. Graphs and Networks. Graphs . and. networks . are all around us. ‘Simple’ networks. 10s to 100s of vertices. Graphs and networks. Degree centrality. Betweenness. centrality. Group level metrics. Degree centralization. Betweenness. centralization. Components. Subgroups. Visualization. None of these address the probability that a dyad or triad exists. 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 . and Applications. Irith Hartman. 1. Motivation. What is the common link between the following problems: traffic network design and cancer research?. Arranging marriages and scheduling flights?. Finding cure for mental illness, computer chip design, architectural floor planning, fighting terror online?. 1. This lecture’s agenda. Objective. Understand how to “formally” model network-wide threats. How models . can help . quantify/pinpoint hidden threats. Specific papers:. Attack graph , . Sheyner. Prof. . Ralucca Gera, . Applied Mathematics Dept.. Naval Postgraduate School. Monterey, California. rgera@nps.edu. Excellence Through Knowledge. Learning Outcomes. Identify the . main concepts of complex network . TheOkeanosProjectForthelasteightearsthededicatedworktheOkeanosFoundationfostered a renaissancetraditionalPolynesianonstructionailing navigationaltrainingthatinspiredinnovativeTheOkeanosvisionforthePac

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