PPT-Social Network

Priyanka Agrawal Abstract Social Networks to keep in touch with friends family and community Newer Web 20 technologies encourage Social Networking Security and privacy market and technological factors to be considered while developing social networks. Juan (Susan) Pan. , Daniel Boston, and . Cristian. . Borcea. Department of Computer Science . New Jersey Institute of Technology. Pervasive. . social applications. Traditional social apps. Location-aware. Botnet. . Command-and-Control. :. Emerging Threats and Countermeasures. Erhan. J. Kartaltepe. 1. , Jose Andre Morales. 1. ,. Shouhuai. Xu. 2. , Ravi Sandhu. 1. 1. Institute for Cyber Security. Honglei. . Zhuang. , . Yihan. Sun, Jie Tang, Jialin Zhang, Xiaoming Sun. Influence Maximization. 0.6. 0.5. 0.1. 0.4. 0.6. 0.1. 0.8. 0.1. A. B. C. D. E. F. Probability . of . influence. Marketer Alice. Jennifer . Golbeck. The Problem. Taxonomy of Zombies. Slow, dumb zombies. Night of the Living Dead. Medium speed, slightly aware zombies. Walking Dead. Fast, angry zombies. 28 Days Later. (We’re all toast). Week 13. How is date being used. Predict Presidential Election - Nate Silver . – . http://adage.com/article/campaign-trail/nate-silver-s-election-predictions-a-win-big-data-york-times/238182. /. Predict Pregnancy - Target . Jacob Suggs and Nalini Peres-da-Silva. Internet sites where people interact freely, sharing and discussing info about each other and their lives, using a multimedia mix of personal words, pictures, videos and audio.. From a Sociologist’s Perspective. Reuben (Jack) Thomas. reubenjthomas@unm.edu. April 2017. The Structure of Relationships. R. elationships as the unit of analysis, but not as isolated units: their interconnection, their collective structure. Jonathan.Roginski@usma.edu. Dr. Ralucca Gera, PM Network Science Academic Certificate. rgera@nps.edu. Networks Are Everywhere. What do we think of when we hear the word “network?”. What is a network, really?. metrics. Group level. Density. Components. Isolates. Cliques. Centralization. Degree. Closeness. Betweenness. Factions. Core-periphery. Node level. Centrality. Degree. Indegree. Outdegree. Closeness. Adapted from Chapter 1. Of. Lei Tang and . Huan. Liu’s Book. 1. Chapter 1, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Social Media: . Chapter 1. 1. Chapter. 1, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Traditional Media. Broadcast Media: One-to-Many. Communication Media: One-to-One. Network Formation Processes: Power-law degree distributions and Preferential Attachment CS224W: Social and Information Network Analysis Jure Leskovec , Stanford University http://cs224w.stanford.edu It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. A. Rani . Elwy, . PhD. Rani.Elwy@va.gov. relwy@bu.edu. @. ranielwy. September 9, 2017. Society of Implementation Research Collaboration . 4. th. Biennial Conference. Hybrid I added to an ongoing RCT to test effectiveness of .