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This study investigates the concept of frames in the realm of online polarization, with a focus on social media platforms. The research extends the understanding of how frames—emerging, complex, and often subtle concepts—become prominent in online ...

Community detection in social networks remains a challenging yet crucial task in social network analysis, offering insights into the underlying structures and dynamics of social systems. This study introduces QB-COM, a novel integration of reinforcement ...

Social media platforms have become central arenas for public discourse, enabling the exchange of ideas and information among diverse user groups. However, the rise of echo chambers, where individuals reinforce their existing beliefs through repeated ...

Neural team recommendation models have utilized graph representation learning to achieve state-of-the-art performance in forming teams of experts whose success in completing complex tasks is almost surely guaranteed. Specifically, the proposed ...

Increasing technological complexity, intensified competition, and security requirements have driven open-source software (OSS) projects to become a crucial part of organizations' software development. This study focuses on the OSS project TensorFlow (TF) ...

Research teams from the industry, especially big technology companies, have been pushing impactful research work in the field of artificial intelligence (AI), changing the prospects of the field and the careers of many researchers. Research ...

Chinese companies have become more involved in international engineering contracting under China's "Going Global" and "Belt and Road" projects. They especially prefer the EPC (Engineering, Procurement, and Construction) model because of its strategic ...

Social media content posted by users during an evacuation phase of a disaster can provide a valuable source of information for situational awareness of emergency responders for decision making. However, understanding different aspects of the ...

The purpose of this study is to analyze changes in the characteristics of multinational and institutional collaboration networks in COVID-19 vaccine clinical trials against the backdrop of the COVID-19 pandemic. Using the Social Network Analysis (SNA) ...

People have been increasingly relying on searching for information online in recent years, especially during the COVID-19. Misinformation hide behind the vast array of online information. It becomes the looming crisis. The more types of misinformation ...

With industrial development deepening, the share of industrial energy in overall consumption has notably risen. To assess industrial energy consumption accurately, this paper proposes a method employing interval type-2 fuzzy sets (IT2FSs) to represent ...

Scholars have long delved into the realm of MOOCs. However, with the proliferation of diverse platforms hosting course videos, it was realized that learning experiences may vary across these platforms. Hence, this research explores the forums within two ...

To address the deficiency in the analysis of individual students within existing research on in-classroom social networks and the constraints of traditional centrality metrics in identifying influential nodes, this paper presents the NEDC-GTOPSIS ...

In recent years, the rise of electronic commerce and direct-to-consumer (D2C) has significantly “showroomed” retail stores, and there is a need to maximize the consumer experience through actual products in stores. Therefore, this study aims to ...

In recent years, with the increase in the use of SNS to gather fashion-related information, a fashion-related consumer community has formed on SNS. On the other hand, the demand for women’s fashion magazines is on the decline, print content that ...

The growing exchange of opinions in online news forums brings together a diverse cross-section of users with varying opinions and motivations. Understanding these behaviors is crucial for unraveling the composition of these large user bases. This study ...

Many hierarchical methods for community detection in multicolored networks are capable of finding clusters when there are interslice correlation between layers. However, in general, they aggregate all the links in different layer treating them as ...

Data stream generated from different Web 2.0 applications may contains data which is best described by graphs. Graph streams thus generated show big data characters, including volume and velocity. The challenges of graph stream algorithms are ...

With the primary goal of raising readers’ awareness of misinformation phenomena, extensive efforts have been made by both academic institutions and independent organizations to develop methodologies for assessing the trustworthiness of online news ...

Context: SBSI ties together the Brazilian Information Systems community since 2004, 20 years ago. Through their research, the community has matured, grown and established, through authorships, institutions, research interests, and collaborations. Problem:...