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Titlebook: Big Data and Social Media Analytics; Trending Application Mehmet ?ak?rta?,Mehmet Kemal Ozdemir Book 2021 The Editor(s) (if applicable) and

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樓主: ambulance
41#
發(fā)表于 2025-3-28 17:23:52 | 只看該作者
Analysis of Link Prediction Algorithms in Hashtag Graphs,more popular hashtags have a higher probability to appear with other hashtags in the future. We then apply these improved methods to three sets of Twitter data with the intent of predicting hashtag co-occurrences in the future. In addition to these methods, we investigate the performance of a new, g
42#
發(fā)表于 2025-3-28 19:21:51 | 只看該作者
43#
發(fā)表于 2025-3-29 02:47:10 | 只看該作者
Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis,y field called network science. Namely, these highly-cited seminal papers were written by Watts and Strogatz, Barabási and Albert, and Girvan and Newman on small-world networks, on scale-free networks and on the community structure of complex networks, respectively. In the past 20 years – due to the
44#
發(fā)表于 2025-3-29 05:47:01 | 只看該作者
Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study,larly, Yelp, Trip Advisor, and Zomato are using a social media platform where users can share feedback, scores, photos, and make reservations. Business owners keep a close eye on these crowd-sourced indicators in order to maintain or improve their ratings. While improvements can be related to many f
45#
發(fā)表于 2025-3-29 07:29:41 | 只看該作者
,Identifying Reliable Recommenders in Users’ Collaborating Filtering and Social Neighbourhoods,er systems and social networks exhibit phenomena under which information for certain users or items is limited, such as the cold start and the grey sheep phenomena in collaborative filtering systems and the isolated users in social networks. In the context of a social network-aware collaborative fil
46#
發(fā)表于 2025-3-29 15:25:49 | 只看該作者
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attacential visitor will probably avoid travelling to a high attack risk country, due to safety reasons, hence will miss the opportunity to visit it, and, on the other hand, the country’s tourism will decline. This work addresses the aforementioned problem by (1) showing that relatively safe visiting per
47#
發(fā)表于 2025-3-29 17:43:08 | 只看該作者
Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker, – almost one video per person worldwide. Because videos can deliver a complex message in a way that captures the audience’s attention more effectively than text-based platforms, it has become one of the most relevant platforms in the age of digital mass communication. This makes the analysis of You
48#
發(fā)表于 2025-3-29 21:18:47 | 只看該作者
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