The present invention relates to social networking. More particularly, the present invention relates to implicit social networking via nearest locations providing, professional and personal relationships with credibility score and appreciation or depreciation tags.

BACKGROUND OF INVENTION

One of the major benefits of the Internet has been the ease of communicating information to a large number of people. Networking websites have become a major aspect of today's society. One form of a social networking website is website that allows a member to keep in contact with friends and acquaintances, while other help you keep in contact with professionals. Moreover Most people would not recognize that somebody they meet or know. Furthermore, the typical social networking site, can be very troublesome if the new acquaintance or business contact has a common name or if only first names and minimal other information were exchanged. These issues only complicate the procedure for locating a new acquaintance on a social networking site in order to continue the friendship or business partnership. Social media profile allows member to create profile, using these profiles member can contact, send messages, and post content, while there is nothing to check the credibility and expertise of the member and their content. There is no provision where score can be calculated by system according to other member's action automatically. Social networking involves connecting people via online networking platforms. A social networking service is the online service or site that focuses on the building of social networks. People can allow others into their "social network" using a number of different criteria, some of which vary based on the platform. For example, members may group their friends and family members in their social network, or work contacts, or people they do not know but with who they share something in common (such as for example people who share similar interests), or any combination of the above and other factors. Some sites, for example, may be geared more towards business contacts, whereas others may be geared towards personal contacts. The concept, however, is the same— connecting people through the Internet.

The main types of social networking services contain social categories (e.g., classmates, friends, business contacts), means to connect with contacts (usually with self-description pages) and a recommendation system linked to trust. Popular methods now combine many of these, with Facebook, Google+, and Twitter widely used worldwide.

Social networking can be viewed as an extension of end-to-end telecommunication because it allows groups of people to form around interests, activities, and locations they have in common without previous knowledge of each other. By exposing a profile and networking relations to others, a member of a social network publicly expresses (or less publicly depending on privacy settings and who has access rights), the member's interests, taste, intents, activities, thoughts, social context or any other type of information. All of this gives other members opportunities to act on this information using a variety of social interactions with the member. For example, other members may attempt to join the member's social network by sending an invitation to join the social network of a particular member (sometimes known as "friending", "following" or "liking"). Typically people use social networks to form relations out of common interests, friendships, collaboration, shared industry, current activity, having met in person, sharing the same experience, having related habits, or having similar taste, or a combination of these factors and including other factors.

The difference between social networking and older types of networking such as direct end-to-end telecommunication like the telephone or email is that the profile and relational information (such as contacts, friends, followers or other type of relations) is made accessible to other members to aid members forming new social links (relations) in a faster and easier fashion. In the past, while some level of relational information used to be tracked (such as in a phone book or an email contact list), this information was not exposed and shared with other members within the system as core functionality of the system.

The main reason behind this invention is normally as a human being, we have questions regarding multiple things in life like about professional, personal, social, financial or any other nature of problem or questions. For this problem/questions which belongs to our life directly we frequently ask it to Google, friends or family members but there is no surety of perfect solutions of this problem/question because Google search is not perfectly situated with our real problem and real people (friends and family member) doesn't know perfect solutions as they are not familiar/expertise with this problem/questions.

If we looks around (in same society area, town, city-in specific distance) us with geographically area we can find that expertise person for our problem/questions solution are nearby us, we need to find him/her for solution. After we search him by mutual understanding two people can meet at particular place for problem/question discussion with real life personal experience. Through this people can give us real life experience as he faced or is expertise in this kind of solutions.

A problem that is encountered, however, in social networking is that it can be very labor intensive for a member to establish social network connections with other members. The member must figure out whom he or she wants or needs to connect with in a given context in order to get information relevant to particular needs using her or his social relations. Social network connections need to be explicitly made and unmade when the member wants to change her or his social context to improve the relevancy of her or his communication. The relevancy in question relates to both inbound communication, meaning the information received from other members that are in her or his social network, and outbound communication, as in which other members would be interested in her or his social networking activities. Context could include a variety of factors, including location, time, activity, etc, but the members must make the connections themselves (using explicit functions of the member interface provided by the social networking service, for example using a mobile device or a personal computer or laptop). Moreover, members generally do not want to establish links that they may later need to unmake due to a change in the context (for example, if the previous link becomes no longer relevant). The rapid change of context of members and the corresponding change in member needs requires different sets of relations by which members get relevant information from other members. Thus, the main problem with typical social networking sites is that there are limited occurrences at which a significant quantity of relations can be made. The member essentially must make connections one at a time, and only after evaluating the merits of each potential link.

There are various recommendation systems that are able to suggest new members to a member, for example using their existing social connections to recommend members who have similar social connections or are socially close to the member, but these techniques still require members to act on those recommendations using an explicit member interface for sending a friend request, following another member or otherwise creating the relation.

Social networking is keeping people active over phone and less interactive in near surrounding. There is no provision and member can find people in only near-by surrounding with GPS tracking for professional expertise or personal hobbies or interests. Therefore, what is needed is a social networking service that goes beyond what are currently available methods and has unique way for identification of individuals, all profiles having a credibility with GPS tracking to find people in only nearby location for professional expertise and personal interest for live interaction SUMMARY OF INVENTION

The present invention provides a technique where members are given unique identification, UTN (Unique identification number) to identify a member and can use directly to find the member.

In an aspect the present invention also provides with credibility score and appreciation or depreciation tags. The score is calculated by the system automatically by the member activity and the information provided by other members in connection.

In one of the aspect the present invention also provides GPS based searching for members for professional and personal connectivity. The GPS based searching is limited to range where members can meet and connect live. In a second aspect of the present invention, a method for searching for professional and personal from nearest location implicit social networking is provided, the method comprising: receiving an indication of a professional and personal searched from nearest location of member; accessing a representation of a professional and personal of a nearest location service, wherein the of a professional and personal includes credibility score, including locations of each of a professional and personal, that are related to the service searched; and when it is determined that the first of a professional and personal matches service, adding a social networking link between the member and the with nearest location service of a professional and personal. In a third aspect of the present invention, an implicit social networking service is provided, comprising: professional and personal storing a representation of a nearest location service wherein the representation includes a professional and personal of locations that are related to the nearest location; professional and personal designed to receive from a nearest location interface from devices operated by members; a service matcher designed to determine whether professional and personal from devices operated by members match one of the professional and personal of the service includes credibility score and optionally or automatically add a social networking link. Between the member and with nearest location service of a professional and personal.

In a another aspect of the present invention, a system is provided comprising: a plurality of devices located in different nearest location; an implicit social networking service designed to receive information regarding the nearest location of the plurality of devices and to group the plurality of devices into a single social grouping based upon the nearest location, and to optionally or automatically add social networking links between the members and with nearest location service of a professional and personal.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention is now been described in detail, by way of example only, with reference to the attached figures, in which:

Figure 1. Process Flow of Unique Identification Number generation

Figure 2. Process Flow of Credibility Score with Wishers

Figure 3. Process Flow of Credibility Score with viewers

Figure 4. Process Flow of GSP based member search

Figure 5. Process Flow of GPS based Community search

Figure 6. Process flow of timeline

Figure 7. Process flow of overall system

Figure 8. Process flow of overall system organisation member

Figure 9. Process flow of overall system organisation Credibility Score

DETAIL DESCRIPTION OF THE INVENTION

Reference will now be made in detail to specific embodiments of the invention including the best modes contemplated by the inventors for carrying out the invention. Examples of these specific embodiments are illustrated in the accompanying drawings. While the invention is described in conjunction with these specific embodiments, it will be understood that it is not intended to limit the invention to the described embodiments. On the contrary, it is intended to cover alternatives, modifications, and equivalents as may be included within the spirit and scope of the invention as defined by the appended claims. In the following description, specific details are set forth in order to provide a thorough understanding of the present invention. The present invention may be practiced without some or all of these specific details. In addition, well known features may not have been described in detail to avoid unnecessarily obscuring the invention.

Wishers or wishes is defined as expression or a strong desire for wellbeing of someone. In an embodiment of the present invention, provides a social networking sites with strength of relations among members as it relates to their relevance and authenticity, due to the volatile nature of social networking. Because social relations are volatile and may not persist over time, there is a lower degree of accountability and therefore a lower expectation of value. While long-lasting relationships are maintained by trust being gained via experience, for example, explicit engagement among members, professional and personal relationships are provided with credibility score and appreciation or depreciation tags. Yet these relations have a greater potential to bring about new information that would otherwise be outside of reach. Surfacing interesting credibility score relations is highly valuable and often pertains to a particular interest or context. In other words various subsets of credibility score are relevant for various interest and/or in different contexts and/or combination thereof.

In an embodiment of the present invention, nearest location-based implicit social networking is provided. An embodiment of the present invention further extends this functionality by correlating a professional and personal of different locations with a single grouping of locations rather than relying on a single location. This extends the spatial basis on which an implicit social network can infer the dynamic formation of member relations to a broader footprint by associating to nearest locations professional and personal that are be distributed globally and not-located or located in proximity to each other. By using a nearest locations professional and personal, the chance of members of being connected in a relevant way to other members increases, because of the greater correlation of services and professional and personal with credibility score and appreciation or depreciation tags distribution and footprint that nearest locations can serve at the same time. Members, for example, will required to be at the nearest location- based relation to be a meaningful for members, it allows them to make more frequent, and more valuable, connections with credibility score and appreciation or depreciation tags.

The present invention provides a technique where members are given unique identification, UIN (Unique identification number) to identify a member and can used directly to find the member. Unique Identification Number is defined as unique number to identify the member. Through Unique identification number one member can easily identify other. Unique Identification Number is six digit number with alpha numeric combination

Figure 1 describes the process flow Unique Identification Number for creating a Unique Identification Number. Member has option of selecting a Unique Identification Number of his choice or system generated Unique Identification Number.

When member selects Unique Identification Number of his choice he can enter his number system will validate the Unique Identification Number. If it is validated the Unique Identification Number will be saved in database or else it will show error message.

When Member selects Unique Identification Number generated by system, a request will be generated and system will generate random Unique Identification Number, and notify the member. Member can accept the system generate number or generate Unique Identification Number again.

Member can also generate suggestion for Unique Identification Number. System will show five suggestion and member can select any one from the given suggestion. In figure 1- 1.1 Member will enter UIN of his choice, in 1.2 it shows System will validate the UIN and save in Database if it is validated, 1.2.1 it shows if it is not validated member will get error Invalid UIN. In Figure 1- 2 and 2.1 member will request the system for random UIN, request will generated and UIN will be generated by system, In 2.2 and 2.3 system will send the UIN and member will receive the UIN, in 2.5 it shows member can accept the UIN and proceed to next or request for other UIN In Figure 1 - 3 and 3.1 it shows to get suggestion, system will display list of five suggestions, In 3.3 shows member can accept one from list or can click on more tab for more suggestion. In 3.2 and 3.4 UIN will be listed by system. In 3.5 Member can accept the UIN and move forward or again ask for new suggestion. In one of the embodiment of the present invention also provides with human value identification and its credibility score with appreciation or depreciation tags. The score is calculated by the system automatically by the member activity and the information provided by other members in connection showing human value. Figure 2 describes the process flow of appreciation and credibility score of a particular member. It also describes the flow sending wishes and identifying human values to particular members and method of sending wishes characterized by human values.

Member can see the list of his wishers from the top menu and accept the wishes. The other part is searching the member and sending wishes. Member can search other members by Unique Identification number on searching wishes can be sent. After sending wish credibility and appreciation score process will start.

In Figure 2, Figure B-l, Member can view wishers list, in 1.1 members can request wishers list and in 1.2 wishers list is displayed. In figure 2, Figure B-2 is for search members. In 2.1 and 2.2 member can search for other member with UIN or name and is listed in search. In 3 and 4 member can select particular member from search list and send wish i.e. human value identification. In 5, there is two levels of score selection procedure.

In 5.1 shows appreciation score, member will select appreciation score form 100 for human value identification. In 5.1.1 member has to select appreciation tag from drop down. System will show appreciation and trending tag 5.1.2 appreciation and trending tag will be automatically added on member selection.

In 5.2 shows need to improve score, which will be automatically calculated by system, In 5.2.1 members will select need to improve tag and trending tag will be selected from dropdown menu. 5.1.2 need to improve and trending tag will be automatically added on member selection.

In 6 and 7 data will be saved in data base and when other member will login it will be displayed to the member.

In Figure 2, Figure C-1-2 Member will be shown requests from wishers on top menu of homepage. 3, Shows member may accept or decline the request, In 3.1 if member declines request wish will be deleted from database. In 3.2 if member accepts the request wish will be added to his profile 3.2.1, 3.2.2, 3.3.3, it will automatically calculate overall acceptance of wishers, and it will include appreciation and need to improve score of all members he accepted.

The system is designed where human value identification or credibility and appreciation tag are human being characteristic. In particular tags which are negative human characteristics reverse scoring is used. In another embodiment of the present invention also provides a method for a computing human value identification credibility score comprising a computerized credibility engine to create an individual credibility score and which can be used to objectively rate a comparative value of credibility for a particular member of social network, the method comprising: the social network member receiving a wish for connecting to other member of social network; the credibility scoring system identifying contacts associated with the social network member; the credibility scoring system gathering credibility scores by appreciation or depreciation tags associated with the member of social network given by other members and contact of the particular member of social media; the credibility scoring system analyzes the credibility related information and calculates a corresponding credibility score by identifying values associated with the appreciation or depreciation tags related information and by inputting the values into a credibility scoring system which is configured to weight information provided by information providers based at least in part on a relationship of the information providers; and the credibility scoring system providing the credibility score to members of social network.

Example 1 - Member A searches Member B with Unique Identification Number and send wish. Member B is notified about the wish. Member B can accept the wish or reject the wish.

Credibility and appreciation scoring process is two-step process. In the first step Member will must have to select a score from 100 for the other member. Member can select the appreciation tags from drop down menu. The second step is need to improve score, where also member can select tags from the drop down menu and system will calculate the score deducting it from the appreciation score.

Example 2 - Member A will search Member B with Unique Identification Number and send wish, now member A can give appreciation score to Member B from a score of 100 and appreciation tags. And in another step need to improve score, member A give tags for improvement and system calculates the final score by deducts need to improve score from appreciation score out of 100. Member B is requested for the wish, and is displayed to the Member B. Member B can accept or decline the wish. If Member B declines the wish the data is deleted from database and if member accepts the wish, the data is added to Member B profile. The score given by the Member A is merged with the total score of Member B and is calculated by the system

In one of the aspect the present invention also provides GPS based searching for members for professional and personal connectivity. The GPS based searching is limited to range where members can meet and connect live.

In GPS based searching member can search by two methods by name or by the keyword or tags and system searched profile with that tag in nearby location. The system searches from work and home location for the tag or name entered. The system lists the members with according to users expertise tags and credibility from nearby location.

In GPS based searching tags can be from two types, professional or personal tags, where a Member can find people of Interest in nearby location.

In figure 3-1, 2, member can search other member from top search bar by UIN, Name or expertise from nearby area through GPS searching. 3 shows list of member from nearby location with expertise and if there is no on from near location member from other locations will be showed. 3.1 and 3.2 are two tabs showing list of members and communities. 4 and 5 Member will be listed according to search query from where other member and communities can be contacted.

Example 3 - Member A want to search particular person with "X" expertise, he can enter the tag "X" in search and system will search members with "X" tag in nearby locations with. According to users expertise tags and from nearby location with credibility score.

In one another aspect of the invention member can find location based communities and group according to their expertise. Member can also create group or community according to his expertise and tags, system will send request with people in nearby location by GPS to join the community. Figure 4 describes the GPS based group and community creation and searching with reference to expertise and tags. Figure 4-1, and 4-1.2 shows list of communities. 3 show the method to create community, 3.1-3.2 where required details need to be filled and 3.3 and 3.4 member will get request for joining from expertise tags group according to GPS locations. Figure 4-4 member can create event, and send invitation to community and member in nearby location 4.1 and 4.2 member fill in detail of the event and invites the list of member to the event on particular time and date. Figure 4-5 show the management of the community where a member can leave, invite or delete the community. Figure 4- 8.1 member can ask questions in community. The question will be store in database and any other member can reply to the question. Figure 4-8.2 Member can create event within the community, the respective member will get notification for the event.

Member can create events in communities with expertise tags with start and end time. Members of the community can join the event for live interaction or virtual interaction.

Figure 5 describes the process flow of timeline designed. In an embodiment of the system where timeline is designed. Member can write his thought in timeline which are converted to expertise tags and added to the systems database. The added tag can be used to search a person in nearby location.

Figure 6 and 7 describes the process flow of overall system starting from Member Login or account creation to all activities and sign out.

Figure 8 describes the process flow of overall system for corporate member starting from Member Login or account creation to all activities and sign out. In another embodiment of the present invention also provides a method for a computing human value identification credibility score for corporate body comprising a computerized credibility engine to create an credibility score of each key member of the organization (i.e. board of directors, partners, CEO, CFO, ect.) and individual credibility score of each employees and which can be used to objectively rate a comparative value of credibility for a particular corporate organization of social network, the method comprising: the social network member receiving a wish for connecting to other member of social network; the corporate credibility scoring system identifying contacts associated with the social network member; the corporate credibility scoring system gathering credibility scores by appreciation or depreciation tags associated with the member of social network given by other members and contact of the particular member of social media; the corporate credibility scoring system analyzes the credibility related information and calculates a corresponding corporate credibility score by identifying values associated with the appreciation or depreciation tags related information and by inputting the values into a credibility scoring system which is configured to weight information provided by information providers based at least in part on a relationship of the information providers; and the corporate credibility scoring system providing the credibility score to members of social network.

In another embodiment Organization user can select category from sign up page as different category (i.e college). User can edit, delete or Add new (Max. 5) categories there are three categories are add in above fig 9 for college

User can invite members who are managing college Management (1.1). User can invite professors (1.2). User can invite students of college Students (1.3).

The management appreciation score are calculated wherein the management appreciation score is total appreciation (positive) score of members /total numbers of Members. The professor's appreciation score (1.2.1) wherein the professor's appreciation score is total appreciation (positive) score of members / total numbers of Members. The student's appreciation score (1.3.1) wherein the student's appreciation score is total appreciation (positive) score of members / total numbers of Members. Finally overall Appreciation score = total appreciation score of category / Total numbers categories. The overall appreciation (Positive) score is as Organization Values.

In another embodiment Organization user can select category from sign up page as different category i.e Business. There are three categories are add in above fig 9 for Business Management (2.1); CEO (2.2); Employee (2.3).

User can invite members who are managing the company i.e Management (2.1). User can invite the CEO of the company. User can invite employee of a company. The management appreciation score (2.1.1) are calculated wherein the management appreciation score is total appreciation (positive) score of members /total numbers of Members. The CEO appreciation score (2.2.1) are calculated wherein the CEO appreciation score is total appreciation (positive) score of members /total numbers of Members. The Employees appreciation score (2.3.1) are calculated wherein the Employees appreciation score is total appreciation (positive) score of members /total numbers of Members. Finally overall Appreciation score = total appreciation score of category / Total numbers categories. The overall appreciation (Positive) score is as Organization Values.