Phân tích và suy luận hành vi đời thực của con người thông qua mạng xã hội trực tuyến với học sâu ảnh hưởng xã hội

Applied Network Science - Tập 4 - Trang 1-25 - 2019
Luca Luceri1,2, Torsten Braun2, Silvia Giordano1
1University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno, Switzerland
2University of Bern, Bern, Switzerland

Tóm tắt

Sự ra đời của các Mạng xã hội Trực tuyến (OSNs) đã tạo điều kiện cho việc nghiên cứu sự lan truyền thông tin và ảnh hưởng ở quy mô lớn. Nghiên cứu đáng kể đã tập trung vào hiện tượng ảnh hưởng xã hội và tác động của nó đối với các OSNs. Ảnh hưởng xã hội đóng một vai trò quan trọng trong việc hình thành hành vi của con người và ảnh hưởng đến các quyết định của con người trong nhiều lĩnh vực khác nhau. Trong bài báo này, chúng tôi nghiên cứu tác động của ảnh hưởng xã hội đến động lực ngoại tuyến để tìm hiểu hành vi của con người trong cuộc sống thực. Chúng tôi giới thiệu Học sâu ảnh hưởng xã hội (SIDL), một khung kết hợp giữa học sâu và khoa học mạng nhằm mô hình hóa ảnh hưởng xã hội và dự đoán hành vi con người trong các hoạt động thực tế, chẳng hạn như tham gia một sự kiện hoặc ghé thăm một địa điểm. Chúng tôi đề xuất nhiều phương pháp với mức độ kết nối mạng khác nhau với mục tiêu đối phó hai thách thức điển hình của học sâu: khả năng giải thích và khả năng mở rộng. Chúng tôi xác thực và đánh giá các phương pháp của mình bằng cách sử dụng dữ liệu từ Plancast, một Mạng xã hội Dựa trên Sự kiện, và Foursquare, một Mạng xã hội Dựa trên Địa điểm. Cuối cùng, chúng tôi khám phá việc sử dụng các kiến trúc học sâu khác nhau, và thảo luận về mối tương quan giữa ảnh hưởng xã hội và quyền riêng tư của người dùng, đưa ra các kết quả cùng một số lưu ý về những rủi ro khi chia sẻ dữ liệu nhạy cảm.

Từ khóa

#Mạng xã hội trực tuyến #ảnh hưởng xã hội #học sâu #hành vi con người #động lực ngoại tuyến

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