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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Online social network services now have generally enormous monthly active users. Each user may have hundreds of different ties to families, friends or acquaintances. Discovering multiple social ties is pivotal in understanding the human relationship and recognizing the role played by individuals in very large networks. In this paper, an incremental Dirichlet process Gaussian mixture model is introduced...
In order to better understand the emergence of online social networks, researchers usually employ state of the art synthetic topological models which can replicate some of the observed real-world social network characteristics. However, these characteristics rely on the analysis of common graph metrics at a certain point in time, when the snapshot of the real-world data is obtained. In other words,...
In this paper three similarity measures for scientific papers are compared: bibliographic coupling, co-citation coupling and cosine similarity. All three measures are based on the connections of papers in citation networks. The comparison is conducted both on a mathematical as well as an empirical level. The latter is performed on a real citation network as well as artificially generated networks...
To understand a node's centrality in a multiplex network, its centrality values in all the layers of the network can be aggregated. This requires a normalization of the values, to allow their meaningful comparison and aggregation over networks with different sizes and orders. The concrete choices of such preprocessing steps like normalization and aggregation are almost never discussed in network analytic...
In this work we examine the impact of informal contacts network in the context of organizational change. We use a cellular automata model with majority rule and movement but supplemented with additional mechanism which generates much more unbalanced network between agents. The structures of the emerged networks are briefly described and the outcomes of two variants of simulation experiments are presented...
Online communities play an important role in the world of contemporary social networks. Due to the ubiquitous availability of ICT tools individuals can easily form small, tight, dense groups around various topics and subjects of interest. These online communities share many similarities with general social networks, but they display some interesting distinguishing characteristics. In particular, online...
Social network analysis focuses on understanding opinion formation and diffusion, but often relies on models which have limitations, as they typically assume opinion interaction mechanisms based on thresholds which are either fixed or evolve according to an external random process. However, a new opinion interaction model was developed which relies on so-called node tolerance. This new tolerance model...
Mobile phone communication is an important part of human life. Nowadays a great variety of scientific works are dedicated to the investigation of the calls and cellular networks. Efficient analysis of such networks can be a great source of the information useful for reconstruction and simulation of social phenomena. The main goal of this work was to understand how much information can be obtained...
Finding communities or clusters in social networks is a famous topic in social network analysis. Most algorithms are limited to static snapshots so they cannot handle dynamics within the underlying graph. In this paper, we present a modification of the Lou-vain community detection method to handle changes in the graph without rerunning the full algorithm. Also, we adapted the Louvain greedy approach...
One of the most significant events in Poland after communism broke up was the emergence of internal conflict after Polish president's plane crash on 10.04.2010. We investigate relations between political parties in Poland by opinion polls, members transitions between political parties and official speeches in Polish Parliament 4 years before and after Smoleńsk crash. These relations represent medial...
We describe a methodology for linking aliases belonging to the same individual based on a user's writing style (stylometric features extracted from the user generated content) and her time patterns (time-based features extracted from the publishing times of the user generated content). While most previous research on social media identity linkage relies on matching usernames, our methodology can also...
We study rumor spreading, in a social network which is constructed on the basis of the experimental data concerning interactions between humans, i.e. frequency and duration time of interpersonal interactions (contact survey conducted in Poland in the framework of POLYMOD). We generate several types of networks from ego-centric survey. We verify how temporal patterns change the effects of rumor process...
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