Sunoikisis DC History and Archaeology Fall 2016: Session 10

Sunoikisis Digital Classics programme, Fall 2016 semester, Digital Approaches to History and Archaeology.

Session 10: Network Analysis, Silke Vanbeselaere (KU Leuven) and Greg Woolf (Institute of Classical Studies)

Class outline: https://github.com/SunoikisisDC/SunoikisisDC-2016-2017/wiki/Session-10:-Network-Analysis

Full programme: https://github.com/SunoikisisDC/SunoikisisDC-2016-2017/wiki/Fall-2016:-Digital-History-Archaeology

This session outlines some of the uses of network theory of...

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From: Sunoikisis DC

Related topics : social network analysis visualization software / social networking visualization software

Uncovering Meaning in Twitter Networks Using NodeXL Pro

This walkthrough video demonstrates one variety of user-friendly social media data mining -- how to uncover meaning in Twitter search networks using the software package NodeXL Pro. Three applications: NodeXL's ready-made Top Ten function, working with word pairs in the text of Tweets to generate semantic networks, and characterizing hashtag overlaps for a more concentrated account of meaning in network form. I work with the example of the hashtag #Paris. Created for the undergraduate social...

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From: James Cook

Related topics : social network analysis courses / network analysis social media

Risk and the Network Effect: A Multi-Disciplinary Approach (WMSCI 2014)

"Risk and the Network Effect: A Multi-Disciplinary Approach"

(General Joint Session at WMSCI 2014)

Professor Mario Norbis

Quinnipiac University, USA

Abstract

The effects of network relationships on risk transmission have been explored and analyzed for some time. Examples of it are found in such diverse areas as banking, legal, health and social networks among others. Their analysis imposes a multidisciplinary approach that includes areas from probability and economics to behavioral. Not...

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From: IIISchannel

Related topics : banking social network analysis

Detecting Unknown Threats in Social Networks

Determining risk relative to particular actoris a common impediment to the analysis of any large network. Often an investigator may be focused on just a handful of actors within the larger network, but assessing importance relative to this subset using traditional metrics can be difficult. For example, a financial institution may be focused on transactions into and out of a particular customer’s accounts or a law enforcement agency may be interested in the strongest connections relative to...

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From: Novetta

Related topics : social network analysis examples

SAP HANA Academy - Live2: Course Outline

In this step by step project from the SAP HANA Academy, we illustrate a simple example of building an application using native development tools for SAP HANA, combined with smart data access to Hadoop, text and sentiment analysis on social media data, predictive analysis for link prediction within SAP HANA and more. This video give us brief introduction to the components of this course and outlines the various steps from installing and configuration of software to development and deployment of...

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From: SAP HANA Academy

Related topics : social media sentiment analysis tools / analysis of social network data

Using Python to analyse Russian social network Vkontakte

Video explains how you can perform a simple analysis of a user from Russian social network Vkontakte - to retrieve his (or her) top 5 posts for all the time according to a sorting parameter - number of likes/comments/reposts. Examples include a real working script that besides the mentioned goal also plots diagrams, draw graphs and calculate some graph characteristics. Please, comment below if you have questions or suggestions.

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From: Roman Prilepskiy

Related topics : social network analysis examples

SAP Predictive Analytics: Introduction to Advanced Analytics (Webinar Replay)

In this first installment of the 2015 Advanced Analytics Expert Series, Richard Mooney and Mike Watschke guide you through the most common use cases for SAP Predictive Analytics 2.0 and showcase why you don’t need to be a data scientist to use them. They demonstrate an example of predictive analytics designed to help bridge the skills gap by placing predictive capabilities in the hands of business users.

Agenda:

- Introduction

- Popular Predictive Use Cases – 8:20

- Demo: Social Network...

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From: SAP BusinessObjects Analytics

Related topics : introduction to social network analysis using r / analysis social networks

Social Network Analysis: Use as a Systems tool When Evaluating Collaboration Capacity

5th Webinar in the 2015 Webinar Series: Practical Application of Systems to Conduct Evaluation: Cases and Examples

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From: Center on Collaborative Governance

Related topics : social network analysis tool / analysis social network

Network Analysis. Lecture 14. Social contagion and spread of information.

Information diffusion. Rumor spreading models. Homogenous and mean field models. Examples. Cascades and information propagation trees.

Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture14.pdf

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From: Leonid Zhukov

Related topics : social network information

Visualize and Understand Complex RDF Data with Tom Sawyer Perspectives

This video showcases the RDF visualization and social network analysis capabilities of Tom Sawyer Perspectives, which is used for building graph visualization and analysis applications.

The RDF data set used in this example is from SEC 10-K filings, involving more than 1.8 million triples. The data is accessed from Oracle Database 11g Semantic Technologies.

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From: Tom Sawyer Software

Related topics : analysis of social network data