148 research outputs found

    How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges

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    Small-world and power-law network structures have been prominently proposed as models of large networks. However, the assumptions of these models usually lack sociological grounding. We present a computational model grounded in social exchange theory. Agents search attractive exchange partners in a diverse population. Agent use simple decision heuristics, based on imperfect, local information. Computer simulations show that the topological structure of the emergent social network depends heavily upon two sets of conditions, harshness of the exchange game and learning capacities of the agents. Further analysis show that a combination of these conditions affects whether star-like, small-world or power-law structures emerge.Complex Networks, Power-Law, Scale-Free, Small-World, Agent-Based Modeling, Social Exchange Theory, Structural Emergence

    Extracting reputation in multi agent systems by means of social network topology

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    Methylation status of the p15, p16 and MGMT promoter genes in primary cutaneous T-cell lymphomas

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    p15(INK4b), p16(INK4a) and O(6)-methylguanine DNA methyltransferase (MGMT) gene hypermethylation was studied in 22 patients with primary cutaneous T-cell lymphomas (CTCL). p15(INK4b) and p16(INK4a) inactivation is present in early and advanced disease and seems to be independent of disease stage. MGMT inactivation may play a pathogenetic role in a subset of CTCL

    Absence of MALT1 traslocation in primary cutaneous marginal zone B-cell lymphoma

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    The implication of MALT1 gene in the pathogenesis of primary cutaneous marginal zone B-cell lymphomas (PCMZL) has been a matter of controversy. We examined the presence of MALT1 translocations in a series of 23 PCMZL. FISH assay with a MALT1 dual color break apart translocation probe revealed the absence of MALT1 translocations in all cases
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