
State of the Art Applications of Social Network Analysis
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user's- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.
More details
Other editions
Additional editions

Content
A Randomized Approach for Structural and Message based Private Friend Recommendation in Online Social Networks.- Context Based Semantic Relations in Tweets.- Fast exact and approximate computation of betweenness centrality in social networks.- Network Simulation.- Early Stage Conversation Catalysts on Entertainment-Based Web Forums.- Predicting Users Behaviours in Distributed Social Networks Using Community Analysis.- What should we protect? Defining differential privacy for social network analysis.- Complex Network Analysis of Research Funding: A Case Study of NSF Grants.- Community Evolutionary Events in Online Social Networks.- @Rank: Personalized Centrality Measure for Email Communication Networks.- Twitter Sentiment Analysis: How To Hedge Your Bets In The Stock Markets.- The Impact of Measurement Time on Subgroup Detection in Online Communities.- Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility.- An Ant based Particle Swarm Optimization Algorithm for Maximum Clique Problem in Social networks.- XEngine: An XML Search Engine for Social Groups.- Size, diversity and components in the network around an entrepreneur: Shaped by culture and shaping embeddedness of firm relations.- Content Mining of Microblogs.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.