A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks

Amelkin, Victor; Singh, Ambuj K.; Bogdanov, Petko

doi:10.1109/icde.2017.64

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…Many previous works are dedicated to quantifying the polarization observed in online social networks and social media [8,18,3,1,9,17]. The main characteristic of those works is that the measures proposed are based on the structural characteristics of the underlying graph.…”

Section: Related Workmentioning

confidence: 99%

Vocabulary-Based Method for Quantifying Controversy in Social Media

Zarate

Feuerstein

2020

Lecture Notes in Computer Science

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Identifying controversial topics is not only interesting from a social point of view, it also enables the application of methods to avoid the information segregation, creating better discussion contexts and reaching agreements in the best cases. In this paper we develop a systematic method for controversy detection based primarily on the jargon used by the communities in social media. Our method dispenses with the use of domain-specific knowledge, is language-agnostic, efficient and easy to apply. We perform an extensive set of experiments across many languages, regions and contexts, taking controversial and non-controversial topics. We find that our vocabulary-based measure performs better than state of the art measures that are based only on the community graph structure. Moreover, we shows that it is possible to detect polarization through text analysis.

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Section: Related Workmentioning

confidence: 99%

Vocabulary-Based Method for Quantifying Controversy in Social Media

Zarate

Feuerstein

2020

Lecture Notes in Computer Science

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“…Markov Random Field was utilized for providing an objective function, and an approximating method for solving the objective function, that is Loopy Belief Propagation, is used. Another opinion based method, which also utilizes the structure of network, is proposed by Amelkin et al [7]. Although the method puts forward a measure for calculating individual's polarity level, the main aim of the paper was proposing a distance method for opinion changes in a network.…”

Section: Network Basedmentioning

confidence: 99%

“…For instance, #3000_Toman_pertol is an English equivalent for the frequently used common Persian hashtag among the users in both of the contradicting communities. However, #riot_narration or #people_mental_disterbance, as English equivalent to × -Al Amin et al [3] × -Amelkin et al [7] × -Akoglu [2] × -…”

Section: Framework For Quantifying Controversy In Attributed Networkmentioning

confidence: 99%

A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)

Emamgholizadeh,

Nourizade,

Tajbakhsh

et al. 2020

Preprint

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All societies have been much more bipolar over the past few years, particularly after the emergence of online social networks and media. In fact, the gap between two ends of social spectrum is going to be even deeper after the spread of new media. In this circumstance, social polarization has been a growing concern among socialists and computer science experts because of the detrimental impact which online social networks can have on societies by adding fuel to the fire of extremism. Several researches were conducted for proposing measures to calculate controversy level in social networks, afterward, to reduce controversy among contradicting viewpoints, for example, by exposing opinions of one side to other side's members. Most of the attempts for quantifying social networks' controversy have considered the networks in their most primary forms, without any attributes. Although these kinds of researches provide platform-free algorithms to be used in different social networks, they are not able to take into account a great deal of useful information provided by users (node attributes).To surmount this shortcoming, we propose a framework to be utilized in different networks with different attributes. We propeled some Biased Random Walks (BRW) to find their path from start point to an initially unknown end point with respect to initial energy of start node and energy loss of nodes on the path. We extracted structural attribute of networks, using node2vec, and compared it with state-of-the-art algorithms, and showed its accuracy. Then, we extracted some content attributes of user and analyze their effects on the results of our algorithm. BRW is compared with another state-of-the-art controversy measuring algorithm. Then, its changes in different level of controversy in Persian Twitter is considered to show how it works in different circumstance.

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“…We recently proposed node enhancement techniques suitable to social and transportation networks [86,87]. Another set of relevant models relate to complex contagion on social networks [88][89][90][91][92][93], where uncertainty on links is due to decisions of nodes to forward as opposed to physical contact or connectivity, and the optimization problem of interest is influence maximization via incentives for nodes to propagate information [94]. The novelty in our envisioned models is the temporal and spatial importance of information dissemination necessitated by the seasonality of mobility patterns, and thus connectivity of community members…”

Section: Data-driven Capacity and Optimizationmentioning

confidence: 99%

Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response

Gascó-Hernández¹,

Zheleva

Bogdanov

et al. 2019

Proceedings of the 20th Annual International Conference on Digital Government Research

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In rural areas, emergency preparedness and response (ERP) could be greatly affected by the lack of access to technology and the Internet and, therefore, to timely and accurate information about a natural or human-made disaster. This paper proposes a socio-technical framework that integrates a potential technology solution, with optimization methods, and strategies for user adoption. We argue that in order to bridge the digital divide in rural ERP, all these factors need to be systematically considered and integrated into a comprehensive framework, which could guide potential implementation.

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A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks

Cited by 11 publications

References 8 publications

Vocabulary-Based Method for Quantifying Controversy in Social Media

Vocabulary-Based Method for Quantifying Controversy in Social Media

A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)

Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response

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