Journal Article10.1016/J.PHYSA.2019.122372
A new direction in social network analysis: Online social network analysis problems and applications
Umit Can,Bilal Alatas +1 more
184
TL;DR: This study is original by presenting an important source of research by explaining the problems of online social network and the studies performed in this area and a reference work for researchers interested in analyzingOnline social network data and social network problems.
read more
Abstract: The use of online social networks has made significant progress in recent years as the use of the Internet has become widespread worldwide as the technological infrastructure and the use of technological products evolve. It has become more suitable to reach online social networking sites such as Facebook, Twitter, Instagram and LinkedIn via the internet and web 3.0 technologies. Thus, people have shared their views on many different topics and their emotions with other users more widely on these platforms. This means that a huge amount of data is created on platforms where millions of people connect with each other through social networks. Nevertheless, the development of computational paradigms at high speed and complexity with technological possibilities allows analysis of valuable data by means of social network analysis methods. Our goal for this paper is to present a review of novel and popular online social network analysis problems with related applications and a reference work for researchers interested in analyzing online social network data and social network problems. Unlike other individual studies we have gathered 21 online social network problems and defined them with related studies. Thus, this study is original by presenting an important source of research by explaining the problems of online social network and the studies performed in this area.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Social Network Analysis
Tom A. B. Snijders
- 01 Jan 2012
TL;DR: This paper explores the challenges and dilemmas of applying Social Network Analysis in regional studies, highlighting its potential and limitations for researchers in the field.
4.5K
Graph Theory: A Comprehensive Survey about Graph Theory Applications in Computer Science and Social Networks
Abdul Majeed,Ibtisam Rauf +1 more
- 20 Feb 2020
TL;DR: This article comprehensively summarizes GT use in the SNs and explains the GT uses with sufficient concepts and examples to demonstrate the significance of graphs in SN modeling and analysis.
113
A framework for anomaly detection and classification in Multiple IoT scenarios
Francesco Cauteruccio,Luca Cinelli,Enrico Corradini,Giorgio Terracina,Domenico Ursino,Luca Virgili,Claudio Savaglio,Antonio Liotta,Giancarlo Fortino +8 more
TL;DR: A new methodological framework is proposed that can make future investigations in this research field easier, coherent, and uniform in the context of anomaly detection in an MIoT, and the so-called "forward problem” and "inverse problem" are defined.
105
An improved influence maximization method for social networks based on genetic algorithm
01 Jan 2022
TL;DR: In this article , a dynamic generalized genetic algorithm (GDGA) was used to obtain a dynamic seed set in social networks under independent cascade models to find influential individuals in each of these graphs.
78
Twitter Analysis of Global Communication in the Field of Sustainability
Ladislav Pilař,Lucie Kvasničková Stanislavská,Jana Pitrová,Igor Krejčí,Ivana Tichá,Martina Chalupová +5 more
TL;DR: In this paper, the authors identify the main topics of communication related to hashtag # sustainability based on a communication analysis on the Twitter network and investigate the perception of sustainability using data from 414,926 Twitter interactions by 223,476 users worldwide.
64
References
•Book
Social Network Analysis: Methods and Applications
Stanley Wasserman,Katherine Faust +1 more
- 25 Nov 1994
TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
18.9K
Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
17.4K
Anomaly detection: A survey
TL;DR: This survey tries to provide a structured and comprehensive overview of the research on anomaly detection by grouping existing techniques into different categories based on the underlying approach adopted by each technique.
What is Twitter, a social network or a news media?
Haewoon Kwak,Changhyun Lee,Hosung Park,Sue Moon +3 more
- 26 Apr 2010
TL;DR: In this paper, the authors have crawled the entire Twittersphere and found a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.
7.5K
Twitter mood predicts the stock market.
TL;DR: This work investigates whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time and indicates that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others.
5.5K