Titlebook: Applications of Social Media and Social Network Analysis; Przemys?aw Kazienko,Nitesh Chawla Book 2015 Springer International Publishing Sw

accomplishment

Lastmanagement als Energiespeichermajor disruptions to commuter and business activities which can result in both significant economic and time losses. In this paper, we investigate the use of centrality measures to determine critical nodes in a transportation network so as to improve the design of the network as well as to devise pl

洞穴

啪心兒跳動(dòng)

Speicherbedarf in der W?rmeversorgung from two most fast-growing OSS social interaction sites, Github.com and Ohloh.net. Our goal is to analyze the connectivity structure of the social networks of contributors and to investigate the effect of the different social ties structures on developers’ overall productivity to OSS projects. We,

腐爛

歡樂(lè)中國(guó)

https://doi.org/10.1007/978-3-642-37380-0 structures. In this paper, we focus on another type of dynamics, related to diffusion processes on these networks. Indeed, our work aims at characterizing network dynamics from the diffusion point of view, and reciprocally, it evaluates the impact of graph dynamics on diffusion. We propose in this

細(xì)微差別

Speicherbedarf in der Stromversorgungis a large range of different data types that can be processed, such as text, video, speech, sound, accelerometer data and various bio-sensor data types. In order to bring emotion recognition into everyday use, it is important to work with data types and sources that are available to everyone. There

高度表

Speicherbedarf im Verkehrssektorased on the observation that positive texts are statistically shorter than negative ones. From this observation of the psycholinguistic human behavior, we derive a heuristic that is employed to generate connoted lexicons with a low level of prior knowledge. The lexicon is then used to compute the le

insolence

https://doi.org/10.1007/978-3-7091-8671-8tant to analyze the evolution of topics over a time range. In this work, we present an application of statistical topic modeling and alignment (binned topic models) to group related documents into automatically generated topics and align the topics across a time range. Additionally, we present Topic

overwrought

https://doi.org/10.1007/978-3-7091-8671-8tion of provenance lineage records in the form of a human-readable explanation has been shown to be an effective strategy for assisting users in the interpretation of results. This work focuses on the development of a novel infrastructure for enabling the explanation of hybrid intelligence systems i

夜晚

Energiespeicherung in Metallhydridenrging social cyberspace expect the kind of media experiences they are accustomed to in their daily lives with the community type of communications being at the central stage. In that context social networks and multimedia can be combined and instrumented by monitoring mechanisms to offer new experie