Social Network Analysis and Mining

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Link prediction using betweenness centrality and graph neural networks
Social Network Analysis and Mining - Tập 13 Số 1 - Trang 1-13 - 2023
Ayoub, Jibouni, Lotfi, Dounia, Hammouch, Ahmed
Social networks are widely considered as the most important tool to connect people. The last century saw a massive increase in the number of links between users. Many nodes and/or edges are included or removed repeatedly as time passes. In order to understand the patterns of relations among people or organizations, social network analysis (SNA) sheds light on users and links dynamics. Link predict... hiện toàn bộ
Multi-source based movie recommendation with ratings and the side information
Social Network Analysis and Mining - Tập 11 - Trang 1-20 - 2021
Debashish Roy, Chen Ding
Many recommender systems are built based on the user ratings or user interaction data collected by the content or item providers. However, one data source may only provide limited information about the items. It would be helpful, if information about the candidate items could be retrieved from multiple data sources. In this work, a movie recommender system is designed relying on a variety of data ... hiện toàn bộ
Applying modality and equivalence concepts to pattern finding in social process-produced data
Social Network Analysis and Mining - Tập 1 - Trang 59-72 - 2010
Robert A. Hanneman, Christian R. Shelton
Large amounts of detailed transactional information are generated by ongoing social processes. For managing and mining such data, we treat them as “objects” and “relations”. These ideas strongly parallel the way that social network analysts conceive of social structure. Modality (roughly, distinguishing multiple classes of social actors or nodes in networks) and equivalence classes (roughly, disti... hiện toàn bộ
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections
Social Network Analysis and Mining - - 2020
Ian Davidson, Antoine Gourru, Julien Velcin, Yue Wu
Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density
Social Network Analysis and Mining - Tập 8 - Trang 1-6 - 2018
Alexander Strang, Oliver Haynes, Nathan D. Cahill, Darren A. Narayan
Graph theoretic properties such as the clustering coefficient, characteristic (or average) path length, global and local efficiency provide valuable information regarding the structure of a graph. These four properties have applications to biological and social networks and have dominated much of the literature in these fields. While much work has done in applied settings, there has yet to be a ma... hiện toàn bộ
A medical social network for physicians’ annotations posting and summarization
Social Network Analysis and Mining - Tập 4 - Trang 1-8 - 2014
Jalel Akaichi
Patients are often anxious to quickly discover reliable analysis and concise explanation of their medical images while waiting for the physician decision. The fact of making important choices individually in his own corner may lead the physician to commit errors leading to malpractices and consequently to unforeseeable damages. In order to minimize medical errors by fostering collaboration between... hiện toàn bộ
A hybrid approach for the detection and monitoring of people having personality disorders on social networks
Social Network Analysis and Mining - Tập 12 - Trang 1-17 - 2022
Mourad Ellouze, Lamia Hadrich Belguith
Research in the medical field does not stop evolving. This evolution obliges doctors to be up-to-date in order to well manage every situation that may occur with their patients. However, the medical field is very sensitive and requires a great deal of precision, all of that poses a major problem. Consequently, there is a recourse to computer science, to resolve all of these issues. In this context... hiện toàn bộ
Supervised methods for multi-relational link prediction
Social Network Analysis and Mining - Tập 3 - Trang 127-141 - 2012
Darcy Davis, Ryan Lichtenwalter, Nitesh V. Chawla
Many important real-world systems, modeled naturally as complex networks, have heterogeneous interactions and complicated dependency structures. Link prediction in such networks must model the influences between heterogenous relationships and distinguish the formation mechanisms of each link type, a task which is beyond the simple topological features commonly used to score potential links. In thi... hiện toàn bộ
Dữ liệu lớn gặp câu chuyện: sử dụng học máy để dự đoán fanfiction phổ biến Dịch bởi AI
Social Network Analysis and Mining - - 2024
Duy Nguyen, Stephen Zigmond, Samuel Glassco, Bach Tran, Philippe J. Giabbanelli
Fanfiction là một thể loại văn học phổ biến, trong đó các nhà văn tái sử dụng một vũ trụ, ví dụ như việc biến đổi các mối quan hệ dị tính thành các nhân vật queer hoặc đưa lãng mạn vào các chương trình tập trung vào kinh dị và phiêu lưu. Fanfiction đã là chủ đề của nhiều nghiên cứu trong khai thác văn bản và phân tích mạng, trong đó sử dụng các kỹ thuật Xử lý Ngôn ngữ Tự nhiên (NLP) để so sánh fan... hiện toàn bộ
#fanfiction #học máy #xử lý ngôn ngữ tự nhiên #phân tích văn bản #trí tuệ nhân tạo #độ phổ biến #người hâm mộ
Link injection for boosting information spread in social networks
Social Network Analysis and Mining - Tập 4 - Trang 1-16 - 2014
Stefanos Antaris, Dimitrios Rafailidis, Alexandros Nanopoulos
Social media have become popular platforms for spreading information. Several applications, such as ‘viral marketing’, pause the requirement for attaining large-scale information spread in the form of word-of-mouth that reaches a large number of users. In this paper, we propose a novel method that predicts new social links that can be inserted among existing users of a social network, aiming direc... hiện toàn bộ
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