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SUMMARY:CNN special seminar - Professor Péter Csermely
DTSTART:20120224T123000Z
DTEND:20120224T133000Z
UID:TALK36643@talks.cam.ac.uk
CONTACT:Petra Vertes
DESCRIPTION:In February\, the regular CNN seminar will be replaced by a sp
 ecial event: a lecture by Professor Péter Csermely\, visiting from the De
 partment of Medical Chemistry\, Semmelweis University\, Budapest\, Hungary
 .\n\n"Novel network centrality and community measures – and their change
 s in crisis and adaptation".\n \nAbstract:\n\nOur multidisciplinary group 
 uses the general properties of networks as ‘highways’ making the trans
 fer of concepts between various disciplines rather easy. This concept-tran
 sfer embeds the original idea to the entirely different context of another
  scientific field\, and helps to solve creativity deadlocks. These general
 izations allow the utilization of the ‘wisdom’ of biological systems s
 urviving crisis events for many billions of years. As an example of networ
 k dynamics in biological systems the community structure of the protein-pr
 otein interaction network of yeast cells was studied using our Moduland pr
 ogram\, which is a novel method family to detect pervasively overlapping c
 ommunities ("PLoS ONE 7\, e12528":http://www.plosone.org/article/info%3Ado
 i%2F10.1371%2Fjournal.pone.0012528&annotationId=info%3Adoi%2F10.1371%2Fann
 otation%2Fec78df6b-1238-4e96-aca1-1d7f736c7403). Upon heat shock the compa
 ctness of yeast protein communities increased and the number of inter-comm
 unity bridges decreased ("PLoS Comput. Biol. 7\, e1002187":http://www.link
 group.hu/docs/11PLoS-Comput-Biol.pdf). The stress-induced decrease of inte
 r-modular connections was beneficial\, since it A.) allowed a better focus
 ing on vital functions\, and thus spared resources\; B.) localized damage 
 to the affected communities\; C.) reduced the propagation of noise\; D.) a
 llowed a larger ‘degree of freedom’ of the individual communities to e
 xplore different adaptation strategies\; and E.) helped the ‘mediation o
 f inter-community conflicts’ during a period of violent intra-community 
 changes. Community reorganization emerged as general and novel systems lev
 el way of cost-efficient adaptation.\n\nInter-community nodes\, such as th
 e highly dynamic creative nodes play a particularly important role in adap
 tive processes. Besides the modular analysis above\, highly influential no
 des can be identified by their efficiency in perturbation-propagation usin
 g our recently developed Turbine program (www.linkgroup.hu/Turbine.php). G
 ame centrality\, i.e. the ability of a node or edge to establish or break 
 cooperation in a repeated social dilemma game was also shown to highlight 
 influential nodes using our program NetworGame (www.linkgroup.hu/NetworGam
 e.php)\, which is able to accommodate any real world networks using with a
 ny initial strategy distributions. Spatial games can also be rationalized 
 in networks of non-conscious agents\, such as amino acids\, or proteins. N
 ovel network centrality and community measures help the identification of 
 key nodes determining the systems potential for fast adaptation.
LOCATION:Lecture Theatre\, Trinity Hall
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