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Titlebook: State of the Art Applications of Social Network Analysis; Fazli Can,Tansel ?zyer,Faruk Polat Book 2014 Springer International Publishing S

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31#
發(fā)表于 2025-3-26 23:52:20 | 只看該作者
Twitter Sentiment Analysis: How to Hedge Your Bets in the Stock Markets,inion in driving investment decisions. It is well accepted that at high frequency trading, investors are tracking memes rising up in microblogging forums to count for the public behavior as an important feature while making short term investment decisions. We investigate the complex relationship bet
32#
發(fā)表于 2025-3-27 01:11:14 | 只看該作者
The Impact of Measurement Time on Subgroup Detection in Online Communities,s that are of interest for research as real world data sources that can be processed automatically or semi-automatically. Since productive online communities (such as open source developer teams) tend to support the establishment of ties between actors who work on or communicate about the same or si
33#
發(fā)表于 2025-3-27 06:13:23 | 只看該作者
Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility,ilability leads to challenges in the knowledge discovery community. Several different analyses have been performed on the traces of human trajectories, such as understanding the real borders of human mobility or mining social interactions derived from mobility and viceversa. However, the data qualit
34#
發(fā)表于 2025-3-27 09:56:02 | 只看該作者
35#
發(fā)表于 2025-3-27 14:12:53 | 只看該作者
XEngine: An XML Search Engine for Social Groups, on ethnic, cultural, religious, demographic, or other characteristics. XEngine outputs ranked lists of content items, taking into account not only the initial preferences of the user, but also the preferences of the various social groups, to which the user belongs. The user’s social groups are infe
36#
發(fā)表于 2025-3-27 20:56:23 | 只看該作者
37#
發(fā)表于 2025-3-28 01:26:20 | 只看該作者
38#
發(fā)表于 2025-3-28 02:56:39 | 只看該作者
Context Based Semantic Relations in Tweets,ers while they are posting tweets. In this work, we apply semantic relationship analysis methods based on term co-occurrences in tweets, and evaluate their effect on detection of daily events from Twitter. The results indicate higher accuracy in clustering, earlier event detection and more refined event clusters.
39#
發(fā)表于 2025-3-28 06:55:18 | 只看該作者
An Agent-Based Modeling Framework for Social Network Simulation, framework for simulations over social networks. The models are written in a purposely developed, domain-specific language that helps in mapping social-network concepts to agent-based ones. Our framework is created to deal with large simulations and to work effortlessly with other social network analysis toolkits.
40#
發(fā)表于 2025-3-28 13:29:51 | 只看該作者
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