Continuous Activity Maximization in Online Social Networks
نویسندگان
چکیده
منابع مشابه
Cheshire: An Online Algorithm for Activity Maximization in Social Networks
User engagement in social networks depends critically on the number of online actions their users take in the network. Can we design an algorithm that finds when to incentivize users to take actions to maximize the overall activity in a social network? In this paper, we model the number of online actions over time using multidimensional Hawkes processes, derive an alternate representation of th...
متن کاملOnline Continuous Submodular Maximization
In this paper, we consider an online optimization process, where the objective functions are not convex (nor concave) but instead belong to a broad class of continuous submodular functions. We first propose a variant of the Frank-Wolfe algorithm that has access to the full gradient of the objective functions. We show that it achieves a regret bound of O( √ T ) (where T is the horizon of the onl...
متن کاملInterpersonal Trust in Online Scientific Social Networks: Causes and Results
Background and Aim: This study tends to investigate the reasons of interpersonal trust and the results of trust in online scientific social networks. Methods: The applied Research has been used cluster sampling to collect data. The study population consisted of Shiraz university and Persian Gulf university faculties. A sampling of 269 person was determined by Morgan table according to whole pop...
متن کاملOpinion Maximization in Social Networks
The process of opinion formation through synthesis and contrast of different viewpoints has been the subject of many studies in economics and social sciences. Today, this process manifests itself also in online social networks and social media. The key characteristic of successful promotion campaigns is that they take into consideration such opinion-formation dynamics in order to create a overa...
متن کاملSocial activity and structural centrality in online social networks
It has become well known that the knowledge about key network members is essential for doing business successfully through online social networking sites. As of now, most studies targeted at identifying key members have used network structural centrality measures. Little emphasis has been placed on member activities to identify key members in a network; even though gathering and utilizing such ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Network Science and Engineering
سال: 2020
ISSN: 2327-4697,2334-329X
DOI: 10.1109/tnse.2020.2993042