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The Usage of Apache Spark for Collection and Analysis of Social Networking Statistics
2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT), 2019This paper investigates the new Facebook API for Instagram. During the work we implemented the live data stream from the Instagram social network and displayed the hashtags depending on their popularity at a specific moment or during some period. We also investigated the relationship between hashtags, depending on the time of data collection and ...
Ihor Tovpinets +3 more
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Social Networks, 2020
Abstract Latent variable network models that accommodate edge correlations implicitly, by assuming an underlying latent factor, are increasing in popularity. Although, these models are examples of what is a growing body of research, much of the research is focused on proposing new models or extending others.
Beau Dabbs +2 more
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Abstract Latent variable network models that accommodate edge correlations implicitly, by assuming an underlying latent factor, are increasing in popularity. Although, these models are examples of what is a growing body of research, much of the research is focused on proposing new models or extending others.
Beau Dabbs +2 more
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Multimedia Tools and Applications, 2016
This paper presents a system that analyzes the sentiment of figurative language contained in short texts collected from Social Networking Services (SNS). This case study sources information from tweets on Twitter and calculates the polarity of the figurative language with three different categories (i.e., sarcastic, ironic, and metaphorical tweets). As
Hoang Long Nguyen 0001, Jai E. Jung
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This paper presents a system that analyzes the sentiment of figurative language contained in short texts collected from Social Networking Services (SNS). This case study sources information from tweets on Twitter and calculates the polarity of the figurative language with three different categories (i.e., sarcastic, ironic, and metaphorical tweets). As
Hoang Long Nguyen 0001, Jai E. Jung
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Statistical Analysis of Social Network Data
This hands-on seminar introduces modern statistical methods for social network data, from network fundamentals to advanced statistical network models and privacy considerations. Through reproducible R demonstrations, you will learn to implement and diagnose models, design valid tests for relational data, and apply principled, publishable workflows for ...openaire +1 more source
Analysis of the Structural Characteristics of Social Networks from a Statistical Perspective
Journal of Statistics and EconomicsThis paper systematically explores the application research of social network structure from a statistical perspective, focusing on three core areas: modeling of information dissemination dynamics, analysis of social capital accumulation mechanisms, and optimization of network intervention strategies. By integrating multiple statistical methods such as
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2020
Although many may disagree or we may be taught the contrary, life is inherently non-independent. While in many situations it is safe and convenient to assume that our unit of analysis?whether it is genes or people?can be thought of as ?independent draws from a population?, in many cases such an assumption cannot be made. This dissertation is about this
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Although many may disagree or we may be taught the contrary, life is inherently non-independent. While in many situations it is safe and convenient to assume that our unit of analysis?whether it is genes or people?can be thought of as ?independent draws from a population?, in many cases such an assumption cannot be made. This dissertation is about this
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Statistical Analysis of Social Networks [PDF]
RIEDS - Rivista Italiana di Economia Demografia e Statistica, 2013 Agostino Di Ciaccio +1 more
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Statistical Analysis of Animal Social Networks
Social networks are pivotal in analyzing social interactions and relationships, offering insights into the structure and dynamics of both human and animal societies. Social Network Analysis (SNA) methods facilitate understanding of interactions, knowledge flow, and relational dynamics among individuals or groups.openaire +1 more source
Modeling Influence with Semantics in Social Networks
ACM Computing Surveys, 2021Gerasimos Razis +2 more
exaly
A comprehensive review of probabilistic and statistical methods in social network sentiment analysis
Advances in Engineering InnovationIn the era of rapid digital transformation, social networks generate huge amounts of textual data every day, making sentiment analysis an essential tool for understanding public opinion. This study focuses on the application of probabilistic and statistical methods to sentiment analysis in social networks, highlighting their effectiveness in dealing ...
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