Social Event Network Analysis: Structure, Preferences, and Reality

被引：0

作者：

Atzmueller, Martin ^{[1
]}

Hanika, Tom ^{[1
]}

Stumme, Gerd ^{[1
]}

Schaller, Richard ^{[2
]}

Ludwig, Bernd ^{[3
]}

机构：

[1] Univ Kassel, Chair Knowledge & Data Engn, Res Ctr Informat Syst Design, Kassel, Germany

[2] Univ Erlangen Nurnberg, AG Digital Humanities, Comp Sci, Erlangen, Germany

[3] Univ Regensburg, I IMSK, D-93053 Regensburg, Germany

来源：

PROCEEDINGS OF THE 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM 2016 | 2016年

关键词：

GALOIS LATTICES; DYNAMICS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on the analysis of socio-spatial data, i.e., user-performance relations at a distributed event. We consider the data as a bimodal network (i.e., model it as a bipartite graph), and investigate its structural characteristics towards a social network. We focus on plans of the participants (expressed by preferences) and their fulfilment, and propose measures for matching preference and reality. We specifically analyse behavioural patterns w.r.t. distinct user and performance groups. We utilise real-world data collected at the Lange Nacht der Musik (Long Night of Music) 2013 in Munich.

引用

页码：613 / 620

页数：8

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