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One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading
We present an Natural Language Processing based analysis on the phenomenon of “Meme Stocks”, which has emerged as a result of the proliferation of...
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Media moments: how media events and business incentives drive twitter engagement within the small business community
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...
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Research on Dynamic Community Detection Method Based on Multi-dimensional Feature Information of Community Network
With the continuous development of technology, we have the ability to fully record all aspects of data information of every individual in the...
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VTubing and Its Potential for the Streaming and Design Community: An Austrian Perspective
This paper explores the landscape of Virtual YouTubing (VTubing) in Austria, a phenomenon that gained traction during the COVID-19 pandemic. The...
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An improved label propagation algorithm based on community core node and label importance for community detection in sparse network
Community structure can be used to analyze and understand the structural functions in a network, reveal its implicit information, and predict its...
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How AI hype impacts the LGBTQ + community
Hype around Artificial Intelligence (AI) has been a feature of this technology since its inception. However, the most recent wave of AI hype has been...
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Community-Preserving Social Graph Release with Node Differential Privacy
The goal of privacy-preserving social graph release is to protect individual privacy while preserving data utility. Community structure, which is an...
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Community-aware graph contrastive learning for collaborative filtering
Recently, graph neural networks have demonstrated superior performance in the field of collaborative filtering (CF). The graph collaborative...
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How Does the Online News Portal Framing the Phenomenon of Street Fashion in Indonesia
The purpose of this study is to explain the framing of online news portals Kompasiana and Harian Terbit about the Citayam Fashion Week (CFW)...
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Community detection in attributed networks using neighborhood information
Community detection is a crucial aspect in network analysis. Real-world networks are often enriched with attributes providing extensive information...
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Analysis of Corporate Community of Interest Relationships in Combination with Multiple Network
Visualizing the complex relationship among enterprises is ponderable to help enterprises and institutions to find potential risks. Small and...
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Trust and robotics: a multi-staged decision-making approach to robots in community
With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot...
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Community-level characteristics and member firms’ invention: evidence from university–industry innovation community in China
Increased attention has been drawn to the phenomenon of community-based innovation; however, researchers have mainly emphasized firm-centric...
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Isolate Sets Based Parallel Louvain Method for Community Detection
Community detection is a vital task in many fields, such as social networks and financial analysis, to name a few. The Louvain method, the main...
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Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs
Community search (CS) is a vital research area in network science that focuses on discovering personalized communities for query vertices from...
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UCAD: commUnity disCovery method in Attribute-based multicoloreD networks
Many hierarchical methods for community detection in multicolored networks are capable of finding clusters when there are interslice correlation...
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Integrated Use of Geomatic Methodologies for Monitoring an Instability Phenomenon
The growing exposure of the Italian territory to hydrogeological risk, also worsened by the influence of climate change, has made the occurrence of...
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Does ‘Community Detection’ Find Real Emerging Meso-structures? A Statistical Test Based on Complex Networks Methods
Multiple systems that can be represented in network terms usually present areas where the nodes are densely connected among themselves. Community...
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IMDCS:influence maximization with type-diversity by leveraging community structure
Influence maximization(IM) has been extensively researched in social influence analytics, aiming to find a seed set to maximize the influence spread....
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Multi-hop analysis method for rich-club phenomenon of influence maximization in social networks
When studying the Influence Maximization (IM) problem in social networks, it is found that the initial seed nodes selected by some heuristic...
