Research
Social media are an important source of information about the political issues, reflecting, as well as influencing, public mood. We present an analysis of Twitter data, collected over 6 weeks before the Brexit...
Computational Social Networks 2017 4:6
Published on: 24 July 2017
Research
Highly dynamic social networks, where connectivity continuously changes in time, are becoming more and more pervasive. Knowledge mobilization, which refers to the use of knowledge toward the achievement of goa...
Computational Social Networks 2017 4:5
Published on: 10 July 2017
Research
Influential actors detection in social media such as Twitter or Facebook can play a major role in gathering opinions on particular topics, improving the marketing efficiency, predicting the trends, etc.
Computational Social Networks 2017 4:3
Published on: 26 June 2017
Research
Network-Oriented Modelling based on adaptive temporal–causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction proc...
Computational Social Networks 2017 4:4
Published on: 12 June 2017
Research
Social networking services (SNSs) are widely used as communicative tools for a variety of purposes. SNSs rely on the users’ individual activities associated with some cost and effort, and thus it is not known ...
Computational Social Networks 2017 4:2
Published on: 26 May 2017
Research
The influence-maximization literature seeks small sets of individuals whose structural placement in the social network can drive large cascades of behavior. Optimization efforts to find the best seed set often as...
Computational Social Networks 2017 4:1
Published on: 18 May 2017
Research
Detection of influential actors in social media such as Twitter or Facebook plays an important role for improving the quality and efficiency of work and services in many fields such as education and marketing.
Computational Social Networks 2016 3:11
Published on: 7 December 2016
Research
Named entity recognition (NER) is a task of detecting named entities in documents and categorizing them to predefined classes, such as person, location, and organization. This paper focuses on tweets posted on...
Computational Social Networks 2016 3:10
Published on: 1 December 2016
Research
Why group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is ...
Computational Social Networks 2016 3:9
Published on: 21 November 2016
Research
Influence maximization is the task of finding a set of seed nodes in a social network such that the influence spread of these seed nodes based on certain influence diffusion model is maximized. Topic-aware inf...
Computational Social Networks 2016 3:8
Published on: 10 November 2016
Research
A great variety of artificial and natural systems can be abstracted into a set of entities interacting with each other. Such abstractions can very well represent the underlying dynamics of the system when mode...
Computational Social Networks 2016 3:7
Published on: 5 November 2016
Research
While the temporal networks have a wide range of applications such as opportunistic communication, there are not many clustering algorithms specifically proposed for them.
Computational Social Networks 2016 3:6
Published on: 21 October 2016
Research
Influence in Twitter has become recently a hot research topic, since this micro-blogging service is widely used to share and disseminate information. Some users are more able than others to influence and persuade...
Computational Social Networks 2016 3:5
Published on: 22 September 2016
Research
Several models for producing scale-free networks have been suggested; most of them are based on the preferential attachment approach. In this article, we suggest a new approach for generating scale-free networ...
Computational Social Networks 2016 3:4
Published on: 22 August 2016
Research
Twitter has evolved into a powerful communication and information sharing tool used by millions of people around the world to post what is happening now. A hashtag, a keyword prefixed with a hash symbol (#), i...
Computational Social Networks 2016 3:3
Published on: 31 May 2016
Research
In social networks, trust is a complex social network. Participants in online social networks want to share information and experiences with as many reliable users as possible. However, the modeling of trust i...
Computational Social Networks 2016 3:2
Published on: 20 May 2016
Research
Solving the shortest path and min-cut problems are key in achieving high-performance and robust communication networks. Those problems have often been studied in deterministic and uncorrelated networks both i...
Computational Social Networks 2016 3:1
Published on: 22 January 2016
Research
The diffusion of useful information in generalized networks, such as those consisting of wireless physical substrates and social network overlays is very important for theoretical and practical applications. C...
Computational Social Networks 2015 2:18
Published on: 2 December 2015
Research
Cascades of information, ideas, rumors, and viruses spread through networks. Sometimes, it is desirable to find the source of a cascade given a snapshot of it. In this paper, source inference problem is tackle...
Computational Social Networks 2015 2:17
Published on: 19 October 2015
Research
Convenient access to vast and untapped collections of documents generated by organizations is a highly valuable resource for research. These documents (e.g., press releases) are a window into organizational st...
Computational Social Networks 2015 2:16
Published on: 4 August 2015
Research
Complex networks often exhibit co-evolutionary dynamics, meaning that the network topology and the state of nodes or links are coupled, affecting each other in overlapping time scales. We focus on the co-evolu...
Computational Social Networks 2015 2:14
Published on: 31 July 2015
Research
Competitiveness is a relevant social behavior and in several contexts, from economy to sport activities, has a fundamental role. We analyze this social behavior in the domain of evolutionary game theory, using...
Computational Social Networks 2015 2:15
Published on: 31 July 2015
Research
The communication networks obtained by using mobile phone datasets have drawn increasing attention in recent years. Studies have led to important advances in understanding the behavior of mobile users although...
Computational Social Networks 2015 2:13
Published on: 28 July 2015
Research
We explore the dependence structure in the sampled sequence of complex networks. We consider randomized algorithms to sample the nodes and study extremal properties in any associated stationary sequence of cha...
Computational Social Networks 2015 2:12
Published on: 22 July 2015
Research
This study examines the communications networks formed by direct international Internet links, weighted by bandwidth capacity, each year over the 2002–2011 period. Specifically, we analyze changes in bandwidth...
Computational Social Networks 2015 2:11
Published on: 19 July 2015
