Impact of offline events on online link creation

Esfandyari, Azadeh; Zignani, Matteo; Gaito, Sabrina; Rossi, Gian Paolo

doi:10.1145/2851613.2851989

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The effect of our research tangent of extended social media event applications was studied by Esfandyari et al [16] Their research tried to answer to very important questions which are the very back bone of the applications that we compared in our paper:…”

Section: Related Workmentioning

confidence: 99%

A Study of Commercial Extended Social Media Events Applications

Jibran¹,

Ismail²

2018

JOEBM

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Social media is a pervasive part of our daily life. The debate about the pros and cons of social media is never ending. This project tries to focus on the positive impact of events in social media. We look upon events as a tangent that facilitates the connection between the digital world and the real world. We review the common advantages and disadvantages of social media. We then try to briefly understand the concept of events from various disciplines like philosophy, psychology etc. After which, we perform a comparative study of the features of common commercial extended social media applications like Bizzabo, CEvent and Eventbrite. This provides a clear understanding of how events in social media websites have extended into real world. Index Terms-Social media events, extended applications, comparison.Salih Ismail received his bachelors (hons) degree in information technology from University of Bedfordshire. He completed his MSc in computer systems management from Heriot-Watt University. Currently, he is doctoral candidate at Heriot-Watt University focusing on security of cloud computing.He has various publications in the field of computer security, semantic web and internet of things in various conferences indexed by IEEE and ACM. His research areas of interest include cyber security semantic web, internet of things etc. He has been running an IT company in Dubai.

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Section: Related Workmentioning

confidence: 99%

A Study of Commercial Extended Social Media Events Applications

Jibran¹,

Ismail²

2018

JOEBM

View full text Add to dashboard Cite

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Analyzing and inferring human real-life behavior through online social networks with social influence deep learning

2019

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The advent of Online Social Networks (OSNs) has offered the opportunity to study the dynamics of information spread and influence propagation at a huge scale. Considerable research has focused on the social influence phenomenon and its impact on OSNs. Social influence plays a crucial role in shaping people behavior and affecting human decisions in various domains.In this paper, we study the impact of social influence on offline dynamics to study human real-life behavior. We introduce Social Influence Deep Learning (SIDL), a framework that combines deep learning with network science for modeling social influence and predicting human behavior on real-world activities, such as attending an event or visiting a location. We propose different approaches at varying degree of network connectivity with the objective of facing two typical challenges of deep learning: interpretability and scalability. We validate and evaluate our approaches using data from Plancast, an Event-Based Social Network, and Foursquare, a Location-Based Social Network. Finally, we explore the usage of different deep learning architectures, and we discuss the correlation between social influence and users privacy presenting results and some notes of caution about the risks of sharing sensitive data.

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Impact of offline events on online link creation

Cited by 2 publications

References 8 publications

A Study of Commercial Extended Social Media Events Applications

A Study of Commercial Extended Social Media Events Applications

Analyzing and inferring human real-life behavior through online social networks with social influence deep learning

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