Social Network Analysis and Mining
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Misogynoir: challenges in detecting intersectional hate
Social Network Analysis and Mining - Tập 12 - Trang 1-15 - 2022
“Misogynoir” is a term that refers to the anti-Black forms of misogyny that Black women experience. To explore how current automated hate speech detection approaches perform in detecting this type of hate, we evaluated the performance of two state-of-the-art detection tools, HateSonar and Google’s Perspective API, on a balanced dataset of 300 tweets, half of which are examples of misogynoir and ha...... hiện toàn bộ
Media moments: how media events and business incentives drive twitter engagement within the small business community
Social Network Analysis and Mining - Tập 12 - Trang 1-11 - 2022
Twitter is one of the most popular social networking platforms today with nearly 238 million active daily users. While the platform is used by a myriad of individuals for various purposes, businesses both large and small have begun to adopt Twitter into their business strategy to better connect with consumers. Considering the growing emphasis on social media engagement in the business sector, the ...... hiện toàn bộ
Agent-based simulations of payoff distribution in economic networks
Social Network Analysis and Mining - Tập 9 - Trang 1-18 - 2019
Simulating the behavior of economic agents fosters the analysis of interconnected markets dynamics. Here, we extend the state of the art by adding realistic details to simulating economic exchange networks. To this end, we use our economic network simulation framework TrEcSim, which is designed to support the following real-life features: complex network topologies, evolution of economic agent rol...... hiện toàn bộ
A flexible multiscale approach to overlapping community detection
Social Network Analysis and Mining - - 2015
Integrating the optimal classifier set for sentiment analysis
Social Network Analysis and Mining - Tập 5 - Trang 1-13 - 2015
Automatic identification of users’ sentiment is important for many Web applications, such as recommender systems and business intelligence. Sentiment analysis can be treated as a classification task, which tries to identify the user’s overall sentiment expressed in documents. But it is difficult for users to select a classifier for a special analyzed domain, since each classifier would achieve var...... hiện toàn bộ
Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space
Social Network Analysis and Mining - Tập 13 - Trang 1-19 - 2022
Sentiment analysis is a vastly established domain for social media monitoring, feedback insights, and commercial or political campaigns. It allows us to gain an overview of the wider public opinion on certain topics. Nowadays, different social media platforms play a crucial role in web-based sentiment analysis and emotion detection from distinct perspectives. Likewise, WhatsApp is probably the mos...... hiện toàn bộ
ShortWalk: an approach to network embedding on directed graphs
Social Network Analysis and Mining - Tập 11 - Trang 1-12 - 2021
In network embedding algorithms, long random walks are often used to convert the graph into ‘text’ so that node embeddings can be learned by skip-gram with negative sampling model.
However, in a directed graph, long random walks can be trapped or interrupted, leading to low-quality embeddings. This paper proposes a new algorithm, called ShortWalk, to improve the directed graph network embeddings....... hiện toàn bộ
Mining and modelling temporal dynamics of followers’ engagement on online social networks
Social Network Analysis and Mining - Tập 12 - Trang 1-17 - 2022
A relevant fraction of human interactions occurs on online social networks. In this context, the freshness of content plays an important role, with content popularity rapidly vanishing over time. We therefore investigate how influencers’ generated content (i.e., posts) attracts interactions, measured by the number of likes or reactions. We analyse the activity of influencers and followers over mor...... hiện toàn bộ
Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe
Social Network Analysis and Mining - Tập 14 - Trang 1-16 - 2024
In the world of technology, the electronic and technical development of the fields of communication and the internet has increased, which has caused a renaissance in the virtual world. This development has greatly impacted virtual communities for the ease and speed of communication and information transfer through social media platforms, making these platforms likable and easy to use. The social n...... hiện toàn bộ
Measuring the impact of influence on individuals: roadmap to quantifying attitude
Social Network Analysis and Mining - Tập 11 - Trang 1-20 - 2021
Diffusion of information in social network has been the focus of intense research in the recent past decades due to its significant impact in shaping public discourse through group/individual influence. Existing research primarily models influence as a binary property of entities: influenced or not influenced. While this is a useful abstraction, it discards the notion of degree of influence, i.e.,...... hiện toàn bộ
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