- 4 4 -. . . Abstracts, cont'd .Kenneth N . Walker, Arlene MacBride and Mary L .S . VachonCommunity Resources Service, Clarke Institute of Psychiatry, Toronto, <strong>On</strong>tario, Canada<strong>Social</strong> Support <strong>Networks</strong> and the Crisis of Bereavement<strong>Social</strong>ScienceandMedicine 11 (1977) : 35-41Selected social network and urban community literature is reviewed and various models of supportstructure are then assessed in terms of their adequacy in meeting the diverse needs of individuals understress . The role of support networks during the bereavement crisis is examined specifically and a briefdescription of the Community Resources Service's project "A Preventive Intervention <strong>for</strong> the NewlyBereaved" illustrates how understanding of network supports can aid the mental health professional incrisis intervention .UnpublishedPapersandPaperswhicharenotAbstracted :Shirley L . Patterson, "Toward a Conceptualization of Natural Helping", Arete 4 (Spr ./77)Karen Gunn, "Support Systems Analysis : Impact <strong>for</strong> Designing Rehabilitation Programs <strong>for</strong> Heroin Addicts" .Paper presented at the 1977 Annual Meeting of the American Psychological Association .Michael Phillips, "<strong>Social</strong> Work Practice as Community Service", (mimeo) . Graduate School of <strong>Social</strong>Service, Fordham University at Lincoln Center, New York, N .Y . 10023 .Papers byH . Russell Bernard,Peter D . Killworth,Department of Sociology andSilver Street,Anthropology,Cambridge CB3 9EW,West Virginia University, England .Morgantown, W .Va . 26506U .S .A .<strong>On</strong> the Structure of Affective and EffectiveSociometric Relations in a Closed Group Over Time(mimeo .)Using Catij (a new sociometric technique given elsewhere), the social structure of an oceanographicresearch vessel is described . Specifically, affective relations (how people feel about one another) andeffective relations (how people say they interact with one another) are compared as they develop throughtime . In the beginning of the cruise, there are large gaps in the relational structure and these gapsclose over time, as expected . Moreover, the affective relations tend to become a subset of the effectiverelations . A statistical and graphic description of these relations at three times are given <strong>for</strong> threelevels of structure : global, clique, and local or individual interaction . The implications <strong>for</strong> networkand sociometric studies of closed groups is considered . It appears that the properties of massive networks(i .e . a city, an aircraft carrier, or a whole country) will not turn out to be very different fromthose of miniature networks . Rather, the critical difference is probably the ability of persons tocomprehend the nature of the network in which they are embedded, rather than in properties inherent tothe networks themselves .
- 4 5 -. . . Abstracts, cont'dA Comparison of Structure in Behavioral andCognitive <strong>Social</strong> Network Data(mimeo .)This paper provides a comparison of the triadic-level structure inherent in behavioral and cognitivesocial network data taken on the same group, using a variety of groups whose communication could easilybe monitored .It is found that many types of structure occur significantly more or less than chance in both behavioraland cognitive data, and providing that these are treated in similar ways, there is good agreementbetween the two structures . However, there are several ways to treat behavioral data, and these produceat least two essentially different structures .If cognitive and behavioral triads are compared triad by triad, then there is virtually no agreementbetween them (even though they may both display the same structure on an overall triad census) .Finally, the unlikely hypothesis is proposed that, under many circumstances, behavioral structurenever alters . <strong>Change</strong> in structure over time apparently occurs because of in<strong>for</strong>mant error in the reportingof the cognitive data . A pseudo-transition matrix, giving the probability that a triad is reportedas one type when data are first taken, and a different type at a later date, is calculated . More subtledata will be necessary to disprove this hypothesis .The Reverse Small World ExperimentThis paper considers the reverse small-world technique . Many "starters" are presented with a verylong list (1267) of "targets" . Starters are instructed in the small-world experiment and asked to writedown their choice <strong>for</strong> the first link in the chain from them to each of the 1267 targets . The location,occupation, sex, and ethnic background of targets was given, and starters indicated which (if any) ofthese pieces of in<strong>for</strong>mation made them think of their choice . Seven conclusions are drawn from the data :(1) A mean of 210 choices control the world, but this number is an underestimate . <strong>On</strong>ly 35 choicescontrol half the world, however . (2) There appear to be three distinct, and mainly nonoverlapping,networks controlling U .S ., local, and <strong>for</strong>eign areas . (3) Choices are mainly friends and acquaintances,with strong cleavages by sex . (4) Location is the usual reason <strong>for</strong> choices, with occupation second mostpopular . (5) The decision as to which choice is made depends primarily on the occupation of thetrigger, and secondly on the distance (near/far) from Morgantown, West Virginia, where the experimenttook place . (6) Half the states in the U .S . are controlled by a single person when choices are made onthe basis of location . (7) As found in previous experiments, the accuracy of in<strong>for</strong>mants in estimatingtheir networks is low .In<strong>for</strong>mant Accuracy in <strong>Social</strong> Network Data IIHuman Communication Research,in pressThis paper repeats and confirms the results of Killworth and Bernard, 1976, concerning in<strong>for</strong>mants'ability to report their communication accurately . A variety of self-monitoring, or nearly self-monitoring,networks are used <strong>for</strong> this study . The conclusion again appears that people do not know, with anyaccuracy, those with whom they communicate .The expanded experimental design permits a variety of other, related questions to be answered :recall of past communication is not significantly more accurate than prediction of future communication ;no one set of data is more accurate than any other ; the maintenance of personal logs of communicationdoes not improve accuracy ; in<strong>for</strong>mants do not know if they are accurate or not ; there is no reason tochoose either rankings or scalings as a data instrument save <strong>for</strong> convenience .It is suggested that future research should concentrate both on improving the accuracy of datagatheringinstruments and on lessening the reliance of data-processing instruments on precise data .
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