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Titlebook: Social Informatics; 6th International Co Luca Maria Aiello,Daniel McFarland Book 2014 Springer International Publishing Switzerland 2014 ag

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樓主: radionuclides
31#
發(fā)表于 2025-3-26 21:51:00 | 只看該作者
International Gender Differences and Gaps in Online Social NetworksDevelopment Report came to the sobering conclusion that “in no society do women enjoy the same opportunities as men”. Today, gender disparities remain a global issue and addressing them is a top priority for organizations such as the United Nations Population Fund. To track progress in this matter a
32#
發(fā)表于 2025-3-27 03:55:36 | 只看該作者
Gender Patterns in a Large Online Social Network the case of online social networking. We find a general tendency towards gender homophily, more marked for women, however users having a large circle of friends tend to have more connections with users of the opposite gender. We also inspect the temporal sequences of adding new friends and find tha
33#
發(fā)表于 2025-3-27 08:24:08 | 只看該作者
User Profiling via Affinity-Aware Friendship Networkers to deriving labels for users that characterize their various aspects. Among different kinds of user profiling approaches, one line of work has taken advantage of the high level of label similarity that is often observed among users in one’s friendship network. In this work, we identify one criti
34#
發(fā)表于 2025-3-27 09:31:09 | 只看該作者
35#
發(fā)表于 2025-3-27 15:57:43 | 只看該作者
36#
發(fā)表于 2025-3-27 19:41:36 | 只看該作者
37#
發(fā)表于 2025-3-27 22:09:27 | 只看該作者
The Social Name-Letter Effect on Online Social Networks So Sam might like Snickers and live in Seattle. We use social network data from Twitter and Google+ to replicate this effect in a new environment. We find limited to no support for the Name-Letter Effect on social networks.We do, however, find a very robust Same-Name Effect where, say, Michaels wou
38#
發(fā)表于 2025-3-28 04:10:04 | 只看該作者
39#
發(fā)表于 2025-3-28 06:17:31 | 只看該作者
Can Diversity Improve Credibility of User Review Data?ility of precisely estimating the quality of items. Our proposed methods are built on two simple assumptions: 1) a reviewer who has reviewed many and diverse items has high credibility, and 2) a group of reviewers is credible if the group consists of many and diverse reviewers. To verify the two ass
40#
發(fā)表于 2025-3-28 10:31:52 | 只看該作者
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