Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Babaei, Mahmoudreza"'
Autor:
Khajehnejad, Ahmad, Khajehnejad, Moein, Babaei, Mahmoudreza, Gummadi, Krishna P., Weller, Adrian, Mirzasoleiman, Baharan
The potential for machine learning systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. Much recent work has focused on developing algorithmic tools to assess and mitigate such unfairness. Howeve
Externí odkaz:
http://arxiv.org/abs/2105.02725
Autor:
Khajehnejad, Moein, Rezaei, Ahmad Asgharian, Babaei, Mahmoudreza, Hoffmann, Jessica, Jalili, Mahdi, Weller, Adrian
Influence maximization is a widely studied topic in network science, where the aim is to reach the maximum possible number of nodes, while only targeting a small initial set of individuals. It has critical applications in many fields, including viral
Externí odkaz:
http://arxiv.org/abs/2005.04074
Autor:
Ali, Junaid, Babaei, Mahmoudreza, Chakraborty, Abhijnan, Mirzasoleiman, Baharan, Gummadi, Krishna P., Singla, Adish
Influence maximization has found applications in a wide range of real-world problems, for instance, viral marketing of products in an online social network, and information propagation of valuable information such as job vacancy advertisements and he
Externí odkaz:
http://arxiv.org/abs/1905.06618
Autor:
Ribeiro, Filipe N., Saha, Koustuv, Babaei, Mahmoudreza, Henrique, Lucas, Messias, Johnnatan, Benevenuto, Fabricio, Goga, Oana, Gummadi, Krishna P., Redmiles, Elissa M.
Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. However, targeted advertising can also be abused by malicious advertisers to efficiently reach people susceptible to false stories, stoke grievances,
Externí odkaz:
http://arxiv.org/abs/1808.09218
On social media platforms, like Twitter, users are often interested in gaining more influence and popularity by growing their set of followers, aka their audience. Several studies have described the properties of users on Twitter based on static snap
Externí odkaz:
http://arxiv.org/abs/1603.04423
Autor:
Babaei, Mahmoudreza, Grabowicz, Przemyslaw A., Valera, Isabel, Gummadi, Krishna P., Gomez-Rodriguez, Manuel
Social media sites are information marketplaces, where users produce and consume a wide variety of information and ideas. In these sites, users typically choose their information sources, which in turn determine what specific information they receive
Externí odkaz:
http://arxiv.org/abs/1603.04447
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