A METHOD OF A SOCIAL GRAPH BUILDING IN A GIVEN FIELD OF ACTIVITY USING DATA FROM A SOCIAL NETWORK

2021 ◽  
pp. 76-81
Author(s):  
Е.Е. Лунева ◽  
А.А. Ефремов ◽  
Ю.А. Лобода
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Real Data ◽  
Social Graph ◽  
Using Data

В статье описывается способ построения социального графа по данным из социальных сетей в определенной сфере деятельности, опирающийся на активность пользователей в социальных сетях. В статье приводятся данные эксперимента позволяющего оценить точность воспроизведения реальных связей между пользователями в социальном графе. The article provides a method of a social graph construction based on data from social networks in a certain field of activity, as well as on the activity of users in social networks. Furthermore, the paper presents the findings of real data experiment that allows evaluating the accuracy of reproduction of real connections between users in a social graph.

scholarly journals GRANDPARENT CAREGIVERS: THE RELATION BETWEEN SOCIAL NETWORKS AND RESILIENCE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S678-S679
Author(s):  
Nancy Mendoza ◽  
Christine Fruhauf
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Future Research ◽  
Grandparents Raising Grandchildren ◽  
Face To Face ◽  
Grandparent Caregivers ◽  
New Information ◽  
Multiple Challenges ◽  
Using Data

Abstract Grandparents raising grandchildren experience multiple challenges as they take on the unexpected role of caring for their grandchildren, which usually occurs under stressful and stigmatizing conditions. Many of the challenges grandparents experience are well documented in the research. Less attention is given to understanding how a grandparent caregiver’s social network changes when s/he becomes a caregiver and how her/his social network influences resilience. Thus, the purpose of this study was to use social network analysis (SNA) to examine the relation between social networks and resilience in grandparents raising their grandchildren. This was done by conducting face-to-face interviews with twenty grandparents raising grandchildren after they completed a survey measuring social support, social isolation, and resilience. The interview protocol included questions related to participants’ social network, social support, and services. Prior to the interviews, using data from the surveys participants were identified as representing one of four resilience quadrants: resilient, maladaptive, competent, and vulnerable. Qualitative analysis of grandparent’s social networks across groups indicated resilient grandparent caregivers’ networks were structured in a way that provided more opportunities for the inflow of new information and resources. Whereas the proportion of professionals in maladaptive grandparent caregivers’ networks tended to be less than for other networks. This could suggest that for grandparent caregivers, having professionals in one’s network can be beneficial. Findings from the current study provide opportunities for future research such as identifying ways to help grandparent caregivers structure their social networks to promote resilience.

scholarly journals Identifying Social Network Conditions that Facilitate Sedentary Behavior Change: The Benefit of Being a “Bridge” in a Group-based Intervention

2020 ◽  
Vol 17 (12) ◽  
pp. 4197 ◽  
Author(s):  
Sabina B. Gesell ◽  
Kayla de la Haye ◽  
Evan C. Sommer ◽  
Santiago J. Saldana ◽  
Shari L. Barkin ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Small Group ◽  
Markov Models ◽  
Healthy Lifestyle ◽  
Multilevel Regression ◽  
Using Data ◽  
The Individual

Using data from one of the first trials to try to leverage social networks as a mechanism for obesity intervention, we examined which social network conditions amplified behavior change. Data were collected as part of a community-based healthy lifestyle intervention in Nashville, USA, between June 2014 and July 2017. Adults randomized to the intervention arm were assigned to a small group of 10 participants that met in person for 12 weekly sessions. Intervention small group social networks were measured three times; sedentary behavior was measured by accelerometry at baseline and 12 months. Multivariate hidden Markov models classified people into distinct social network trajectories over time, based on the structure of the emergent network and where the individual was embedded. A multilevel regression analysis assessed the relationship between network trajectory and sedentary behavior (N = 261). Being a person that connected clusters of intervention participants at any point during the intervention predicted an average reduction of 31.3 min/day of sedentary behavior at 12 months, versus being isolated [95% CI: (−61.4, −1.07), p = 0.04]. Certain social network conditions may make it easier to reduce adult sedentary behavior in group-based interventions. While further research will be necessary to establish causality, the implications for intervention design are discussed.

scholarly journals A NATIONAL STUDY OF SOCIAL NETWORKS AND PERCEPTIONS OF HEALTH AMONG URBAN AMERICAN INDIAN/ALASKA NATIVES AND NON-HISPANIC WHITES

2013 ◽  
Vol 46 (4) ◽  
pp. 556-559 ◽  
Author(s):  
DEBORAH R. BASSETT ◽  
LONNIE NELSON ◽  
DOROTHY A. RHOADES ◽  
ELIZABETH M. KRANTZ ◽  
ADAM OMIDPANAH
Keyword(s):  
Social Networks ◽  
Social Network ◽  
American Indian ◽  
American Indians ◽  
Alaska Natives ◽  
National Study ◽  
Epidemiologic Survey ◽  
Reported Health ◽  
Urban American Indian ◽  
Using Data

SummaryUsing data from The National Epidemiologic Survey on Alcohol and Related Conditions, the strength of social networks and the association of self-reported health among American Indians and Alaska Natives (AI/AN) and non-Hispanic Whites (NHW) were compared. Differences in social network–health relationships between AI/ANs and NHWs were also examined. For both groups, those with fewer network members were more likely to report fair or poor health than those with average or more network members, and persons with the fewest types of relationships had worse self-reported health than those with the average or very diverse types of relationships. Furthermore, small social networks were associated with much worse self-reported health in AI/ANs than in NHWs.

Marketing based on user behavior on Facebook social network through recommender system design

2015 ◽  
Vol 3 ◽  
pp. 27 ◽  
Author(s):  
Bahareh Shadi Shams Zamenjani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Recommender Systems ◽  
Recommender System ◽  
User Behavior ◽  
Real Data ◽  
User Interests ◽  
Second Stage ◽  
Commercial Use ◽  
High Level

t— the influence of social networks among people and at the same time inevitable spread of commercial use of them. Accordingly, in order to sell products, recommender systems designed based on user behavior on social networks, providing a variety of commercial offers tailored to the user. The accuracy of recommender systems that make recommendations to users, and how many of the proposals are accepted by the users is important. In this paper, a recommender system is designed based on user behavior in social network Facebook in two acts and suggests that users purchase their favorite products. The first step is to examine user behavior based on user interests will be given an offer to buy products. In the second stage recommender system uses data mining techniques and suggestions to the user that is associated with their previous purchases. This is real data and the real results of it and it is valid, as well as the results show a high level of accuracy recommender system is designed to offer suggestions to users.

scholarly journals Influence of age and gender specifics of social network users in Russia on marketing and advertising methods

2020 ◽  
Vol 3 (3) ◽  
pp. 21-28
Author(s):  
L. G. Akhmaeva
Keyword(s):  
Social Networks ◽  
Social Network ◽  
User Profile ◽  
The Internet ◽  
Age And Gender ◽  
External Resources ◽  
New Information ◽  
The World ◽  
And Gender ◽  
Using Data

A brief overview of the history of the Internet and social networks in the world and in Russia in particular has been provided. The concepts of social network, user profile and properties inherent in any social network – virtuality, interactivity and multimedia have been сharacterized and revealed. Dynamic data on the state of digital technologies for 2019 in the world and in Russia in particular have been analysed. The history and prospects for further development of social networks have been considered. Statistical data on the number of users of the 9 most popular social networks in Russia, namely: their activity, the amount of time spent on the Internet and in social networks, age and gender specifics and preferences of the technical devices used and types of Internet connection have been adduced. General recommendations to marketers on accurate targeting of ads placed in social networks have been given. To do this, companies should work with groups of users, that are united by a number of parameters, as well as create communities in social networks by companies that convey new information to users. Using data on the age, gender and other attributes of the target audience of social networks, marketers will be able to successfully solve the problems of increasing brand awareness and loyalty, attracting new customers, influencing the search promotion of external resources (sites and communities) containing information about the brand, products and services, and using them as effective tools for attracting potential customers.

Social Network Anonymization

2018 ◽  
pp. 23-35
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Real Data ◽  
Electronic Records ◽  
Sensitive Information ◽  
Social Scientists ◽  
High Importance ◽  
Privacy Threats ◽  
Technological Advances ◽  
Undesirable Consequence

Due to technological advances, it has become easy to collect electronic records from a social network for an adversary. However, the organisations which collect data from social networks have two options before them: either they can publish the data and bear the undesirable consequence of privacy threats or not make it public by avoiding further analysis of these data by social scientists to uncover useful facts, which can be of high importance for the society. Since both these options are undesirable, one can try to find an intermediate way between the two, that is, the data before publishing can be anonymised such that even if an adversary gets some information from the published network, he/she cannot decipher and obtain sensitive information about any individual. By anonymization, the authors mean the perturbation of the real data in order to make it undecipherable. This chapter explores social network anonymization.

scholarly journals Rank-dependent social inheritance determines social network structure in a wild mammal population

2020 ◽  
Author(s):  
Amiyaal Ilany ◽  
Kay E. Holekamp ◽  
Erol Akçay
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Interactions ◽  
Social Rank ◽  
Wild Mammal ◽  
Social Network Structure ◽  
Spotted Hyenas ◽  
Using Data ◽  
Degree Of Similarity ◽  
Animal Social Networks

AbstractThe structure of animal social networks influences survival and reproductive success, as well as pathogen and information transmission. However, the general mechanisms determining social structure remain unclear. Using data on 73,767 social interactions among wild spotted hyenas over 27 years, we show that a process of social inheritance determines how offspring relationships are formed and maintained. The relationships of offspring with other hyenas are similar to those of their mothers over up to six years, and the degree of similarity increases with maternal social rank. The strength of mother-offspring relationship affects social inheritance and is positively correlated with offspring longevity. These results confirm the hypothesis that social inheritance of relationships can structure animal social networks and be subject to adaptive tradeoffs.

scholarly journals A Note on Detection of Communities in Social Networks

2020 ◽  
Vol 9 (03) ◽  
pp. 24978-24983
Author(s):  
P. Sridevi
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Social Network ◽  
Modern Science ◽  
Social Graph ◽  
Independent Components ◽  
Detection Algorithms ◽  
The Social ◽  
Triangle Counting ◽  
Strong Relation

 The modern Science of Social Networks has brought significant advances to our understanding of the Structure, dynamics and evolution of the Network. One of the important features of graphs representing the Social Networks is community structure. The communities can be considered as fairly independent components of the social graph that helps identify groups of users with similar interests, locations, friends, or occupations. The community structure is closely tied to triangles and their count forms the basis of community detection algorithms. The present work takes into consideration, a triangle instead of the edge as the basic indicator of a strong relation in the social graph. A simple triangle counting algorithm is then used to evaluate different metrics that are employed to detect strong communities. The methodology is applied to Zachary Social network and discussed. The results bring out the usefulness of counting triangles in a network to detect strong communities in a Social Network.  

scholarly journals A Psychoanalysis of Data Privacy Maintenance Issues in Social Network using Data mining

2019 ◽  
Vol 9 (1) ◽  
pp. 7018-7022
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Elliptic Curve Cryptography ◽  
Data Privacy ◽  
On Line ◽  
The Common ◽  
Using Data ◽  
Present Subject ◽  
Existing Data

The existing data sharing systems relates with the on-line social networks (OSNs) suggest encoding of information before sharing, the multiparty get to the executives of scrambled information has turned into a troublesome issue. A safe information sharing subject proposed in OSNs upheld figure content approach trait based and Elliptic Curve Cryptography algorithmic principle re-encryption and mystery sharing. The work relates the gatekeeper clients' delicate information grants clients to redo get to approaches of their information thus source scrambled information to the OSNs administration provider. The proposed technique displays a multiparty get to the executive’s model that enables the communicator to refresh the entrance strategy of figure content. The characteristics fulfill the common access strategy. The work needs a fractional mystery composing development inside which the calculation overhead of client is essentially diminished by strengthening the vast majority of the mystery composing activities to the OSNs administration provider. Moreover, the check capacity on the outcomes originated from the OSNs administration provider to guarantee the rightness of fractional decoded figure content. The present subject partner affordable properties disavowal philosophy that accomplishes each forward and in reverse mystery. The insurance and execution examination results demonstrate that the arranged subject is secure and efficient in OSNs.

Social networks amongst older people in OECD countries: a qualitative comparative analysis

2013 ◽  
Vol 29 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Philip Haynes ◽  
Laura Banks ◽  
Michael Hill
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Comparative Analysis ◽  
Community Participation ◽  
Qualitative Comparative Analysis ◽  
Policy Interventions ◽  
The Usa ◽  
Using Data ◽  
Eastern European Countries ◽  
Family Contact

Using data from The International Social Survey Programme this paper compares the social networks of those aged 50 and above in 18 countries. Two different types of networks are conceptualised: family contact and community participation. Using qualitative comparative analysis (QCA), international sets are established for four groups of countries. Set one includes countries that only satisfy a minimal number of social network thresholds (France, Norway, Great Britain, Denmark and the USA). Set two includes a homogeneous group of countries with above-threshold rates of marriage and community participation (Australia, New Zealand, Germany, Austria and Canada). Other separate sets with stronger social network features comprise Eastern European countries (set three) and Southern Europe countries (set four) in these sets, family contacts are above the international country average but community participation is less strong. Country sets with low comparative threshold scores in the QCA are argued to be likely to be in greater need of government care policy interventions.

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