Applications of Social Media and Social Network Analysis

ISBN-13: 9783319364414 / Angielski / Miękka / 2016 / 240 str.

Przemyslaw Kazienko; Nitesh Chawla

Opis

This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis.

Spis treści

A Node-Centric Reputation Computation Algorithm on Online Social Networks.- Measuring Centralities for Transportation Networks Beyond Structures.- Indifferent Attachment: The Role of Degree in Ranking Friends.- Analyzing the Social Networks of Contributors in Open Source Software Community.- Precise Modeling Rumor Propagation and Control Strategy on Social Networks.- Studying Graph Dynamics Through Intrinsic Time Based Diffusion Analysis.- A Learning Based Approach for Real-time Emotion Classification of Tweets.- A New Linguistic Approach to Assess the Opinion of Users in Social Network Environments.- Visual Analysis of Topical Evolution in Unstructured Text: Design and Evaluation of TopicFlow.- Explaining Scientic and Technical Emergence Forecasting.- Combining Social, Audiovisual and Experiment Content for Enhanced Cultural Experiences.- Social Network Analysis for Biometric Template Protection.

Blurb

This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.