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Titlebook: Social Informatics; 8th International Co Emma Spiro,Yong-Yeol Ahn Conference proceedings 2016 Springer International Publishing AG 2016 dec

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Identifying Correlated Bots in Twitterbot detection considers cross-correlating user activities and requires no labeled data, as opposed to existing bot detection techniques that consider users independently, and require large amount of recently labeled data. Our system uses a lag-sensitive hashing technique and a warping-invariant corr
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發(fā)表于 2025-3-24 02:28:03 | 只看該作者
Predicting Online Extremism, Content Adopters, and Interaction Reciprocityntent adopters and interaction reciprocity in social media. We exploit a unique dataset containing millions of tweets generated by more than 25 thousand users who have been manually identified, reported, and suspended by Twitter due to their involvement with extremist campaigns. We also leverage mil
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A Holistic Approach for Link Prediction in Multiplex Networkso represent dyadic interactions such as economic transactions, communications, and shared activities. Organizing this data into a dynamic multiplex network, where each layer is composed of a single edge type linking the same underlying vertices, can reveal interesting cross-layer interaction pattern
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Senior Programmers: Characteristics of Elderly Users from Stack Overflowoles, different main activities and different habits. They are an important part of the community, as they tend to have higher reputation and they like to share their knowledge. This is a great example of possible way of keeping elderly people active and helpful for society.
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