Research On The Social Networks Based On The Weak Relationships

As we know, living, working and entertainment, as well as doing businessactivities, are involved in the social relationship. Especially in China, the exploitationand utilization of social relationship has been attached great importance for thousandsof years. With the popularization of Internet, social network has become importantresearch field.Among lots of social network systems, Facebook, QQ and Renren etc. areparticularly successful. However, the relationships in those networks are virtual,which results in many practical problems in application. In fact, some relationshipsare real and useful. For example, we build lots of relationships with kinds of peoplewhom we are in touch with through a variety of activities. These relationships play animportant role in our life and work. With the increase of friends, if we don’t keep intouch regularly, some of friends will be forgot and even be cut off gradually. As wemeet again or need some help of them, we may not recognize each other or don’tknow how to do. In order to avoid the situation above, it is necessary to study how toestablish, conserve and utilize the real social relationship. Because relationships incurrent social network systems are virtual some important to functions cannot berealized at all, such as relationship building automatically, relationship searchingacross groups, relationship connection route recommendation. In real relation network,weak relationships are used to establish relation network and make up relationshipconnections. Therefore, it is valuable to study social network based on weakrelationships with important academic significance and practical value.Based on the analysis of research status domestic and abroad, the main researchworks of this thesis can be summarized as following:1. A model of social relationship network construction based on the weakrelationship is designed. Based on the one degree of separation “Strong Relationships”and social network building with them, one cluster master’s social network with thereal-name registration system is built. Then the automatic relationship formingtechnology in the complex social network by the two degree of separation “WeakRelationships” is analyzed. At last the social relationship networks among thedifferent cluster masters are formed. 2. The relationship types and relationship attributes are studied. Considering theparticularity of the Chinese relationship, the relationship is divided into fourcategories: consanguineous relationship, congenial relationship, geopoliticalrelationship, occupational relationship, and detail the attributes of relationship, it isdivided into object attribute and subject attribute.3. The influence factors of Qinshudu and the computation mode of Qinshudu areanalyzed. Based on the research on the relationship types and attributes, an importantindex of relationships called Qinshudu, is offered at first. The Subjective judgmentfactors, contact frequency, relationship types, age and sex are considered as the fiveinfluence factors in Qinshudu. Each influence factor is quantified with FAHP(FuzzyAnalytical Hierarchy Process), and by the fuzzy logic operations, the Qinshudu in thewhole relationship connections is computed.4. A heuristic search strategy across different relationship clusters and therecommendation technology of relationship connections are studied. A heuristicsearch strategy by Qinshudu called as SBH Algorithm is presented as the evaluationcriteria, so that the relationship searching across the relationship clusters and therecommendation of each relationship connection route are realized.Studies a heuristic search strategy through different actor clusters and therecommendation technology in the relationship links., puts forward a heuristic searchstrategy which uses Qinshudu as the evaluation criteria——SBH Algorithm, so thatrealizes the relationship research through the actor clusters and the recommendationof each relationship links.