caa a22 4500 605514593 CHVBK 20210128100705.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10458-014-9254-4 doi (NATIONALLICENCE)springer-10.1007/s10458-014-9254-4 Seeding influential nodes in non-submodular models of information diffusion [Elektronische Daten] [Elliot Anshelevich, Ameya Hate, Malik Magdon-Ismail] We consider the model of information diffusion in social networks from Hui et al. (Agentbased simulation of the diffusion of warnings, 2010) which incorporates trust (weighted links) between actors, and allows actors to actively participate in the spreading process, specifically through the ability to query friends for additional information. This model captures how social agents transmit and act upon information more realistically as compared to the simpler threshold and cascade models. However, it is more difficult to analyze, in particular with respect to seeding strategies. We present efficient, scalable algorithms for determining good seed sets—initial nodes to inject with the information. Our general approach is to reduce our model to a class of simpler models for which provably good sets can be constructed. By tuning this class of simpler models, we obtain a good seed set for the original more complex model. We call this the projected greedy approach because a model is ‘projected' onto a class of simpler models where the greedy seed set selection is near-optimal. We demonstrate the effectiveness of our seeding strategy on synthetic graphs as well as a realistic San Diego evacuation network constructed during the 2007 fires, and the DBLP network of collaborations. The Author(s), 2014 Diffusion nationallicence Evacuation nationallicence Multi-agent systems nationallicence Anshelevich Elliot Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA aut Hate Ameya Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA aut Magdon-Ismail Malik Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA aut Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/1(2015-01-01), 131-159 1387-2532 29:1<131 2015 29 10458 https://doi.org/10.1007/s10458-014-9254-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10458-014-9254-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Anshelevich Elliot Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA aut NATIONALLICENCE 700 1- Hate Ameya Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA aut NATIONALLICENCE 700 1- Magdon-Ismail Malik Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA aut NATIONALLICENCE 773 0- Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/1(2015-01-01), 131-159 1387-2532 29:1<131 2015 29 10458